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[held online] CFP: Big Data & Deep Learning in HPC (IEEE Xplore) - Extended deadline: June 28, 2020
by Carlos Ferreira 07 Jun '20

07 Jun '20

Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (BDL2020) (https://sbac2020.dcc.fc.up.pt/bdl2020/) in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (https://sbac2020.dcc.fc.up.pt/) September 9, 2020, Porto, Portugal ---------------------------------------------------------------------------- ** NEW ** BDL2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in September, we will make BDL2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore. The Workshop fee is now 200 euros. ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ KEY DATES ------------------------------------ Deadline for paper submission: ***June 28, 2020*** Author notification: July 22, 2020 Camera-ready version of papers: July 25, 2020 ------------------------------------ SUBMISSION ------------------------------------ We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore. Submissions must be in English, limited to 8 pages in the IEEE conference format (see https://www.ieee.org/conferences/publishing/templates.html) All submissions should be made electronically through the EasyChair system: https://easychair.org/conferences/?conf=bdl2020 ------------------------------------ REGISTRATION ------------------------------------ A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings. The Workshop fee is 200 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) João Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP: IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD2020) - Deadline Extended (June 28, 2020)
by Carlos Ferreira 27 May '20

27 May '20

SBAC-PAD 2020 32nd IEEE International Symposium on Computer Architecture and High Performance Computing September 8-11, 2020 Porto, Portugal sbac2020(a)dcc.fc.up.pt https://sbac2020.dcc.fc.up.pt/ http://www2.sbc.org.br/sbac/ (Historical acceptance rate). ---------------------------------------------------------------------------- ** NEW ** ---------------------------------------------------------------------------- SBAC-PAD2020 deadline postponed to June 28, 2020 ---------------------------------------------------------------------------- Following the recommendations/guidelines from the World Health Organization (WHO), regarding the Coronavirus disease (COVID-19) outbreak, SBAC-PAD2020 will be converted to an online event. However, the outbreak's impact led to several requests for postponing significantly the deadlines. Following those requests, the SBAC-PAD2020's organization decided to postpone the deadline for the abstract/paper submission to June 28, 2020. Stay safe! ---------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. More information about the conference can be found at https://sbac2020.dcc.fc.up.pt/ ---------------------------------------------------------------------------- Paper Submission ---------------------------------------------------------------------------- Authors are invited to submit original manuscripts on a wide range of high-performance computing areas, including computer architecture, systems software, languages and compilers, algorithms and applications. Topics of interest include (but are not limited to): -Application-specific systems -Architecture and Programming Support for Emerging Domains (Big Data, Deep Learning) -Benchmarking, performance measurements, and analysis -Cloud, Grid, cluster, and peer-to-peer systems -Embedded and pervasive systems -GPUs, FPGAs and other accelerator architectures -Languages, compilers, and tools for parallel and distributed programming -Modeling and simulation methodology -Operating systems and virtualization -Parallel and distributed systems, algorithms, and applications -Power and energy-efficient systems -Processor, cache, memory, storage, and network architecture -Real-world applications and case studies -Reconfigurable, resilient and fault-tolerant systems Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of selected papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. Paper submission will be done through EasyChair: https://www.easychair.org/conferences/?conf=sbacpad2020 ---------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------- Abstract deadline: June 28, 2020 Paper deadline: June 28, 2020 Reviewing period: June 29 - July 15, 2020 Rebuttal period: July 15 - July 19, 2020 Author notification: July 22, 2020 Camera-ready submission: July 25, 2020 ---------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------- General Chairs InÃªs Dutra,ines(a)dcc.fc.up.pt (University of Porto, Portugal) Jorge Barbosa,jbarbosa(a)fe.up.pt (University of Porto, Portugal) Miguel Areias,miguel-areias(a)dcc.fc.up.pt (University of Porto, Portugal) Program Co-chairs Jorge Barbosa (University of Porto, Portugal) Laurent LefÃ©vre (Inria, ENS Lyon, University of Lyon, France) Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs Computer Architecture Chair: JosÃ© Moreira, IBM Thomas J. Watson Research Center, USA Edson Borin, University of Campinas, Brazil Felipe FranÃ§a, State University of Rio de Janeiro, Brazil Gabriel FalcÃ£o, University of Coimbra, Portugal Jairo Panetta, Aeronautics Institute of Technology, Brazil Jean-Luc Gaudiot, University of California, USA Jose Cano, University of Glasgow, UK Leandro Santiago, Federal Fluminense University, Brazil Lluc Alvarez, Barcelona Supercomputing Center, Spain Nuno Roma, University of Lisbon, Portugal Peter Hofstee, IBM Austin Research Laboratory, USA Rodolfo Azevedo, University of Campinas, Brazil Serif Yesil, University of Illinois, USA Wagner Meira, Federal University of Minas Gerais, Brazil Networking and Distributed Systems Chair: JesÃºs Carretero, University Carlos III of Madrid, Spain Alexey Lastovetsky, University College Dublin, Ireland Angelos Bilas, FORTH-ICS and University of Crete, Greece Bruno Schulze, National Laboratory for Scientific Computing (LNCC), Brazil Carla Osthoff Barros, National Laboratory for Scientific Computing (LNCC), Brazil Domenico Talia, University of Calabria, Italy Emmanuel Jeannot, INRIA, France Jose Luis Gonzalez, Instituto TecnolÃ³gico de Ciudad Valles (ITV), MÃ©xico Leonel Sousa, Universidade de Lisboa, Portugal Marco Aldinucci, University of Torino, Italy Silvina Caino, University of Tennessee, USA Parallel Applications and Algorithms Chair: Alba Melo, University of BrasÃlia, Brazil Alfredo Goldman, University of SÃ£o Paulo, Brazil Ananth Kalyanaraman, Washington State University, USA Anne Benoit, ENS Lyonâ€LIP, France Antonio J. PeÃ±a, Barcelona Supercomputing Center, Spain Bertil Schmidt, University of Mainz, Germany Cristiana Bentes, State University of Rio de Janeiro, Brazil Cristina Boeres, Federal Fluminense University, Brazil Edson Caceres, Federal University of Mato Grosso do Sul, Brazil George Teodoro, Federal University of Minas Gerais, Brazil Gianfranco Bilardi, University of Padova, Italy Jose Nelson Amaral, University of Alberta, Canada Luciana Arantes, UniversitÃ© Pierre et Marie Curie-Paris, France Ricardo Rocha, University of Porto, Portugal Viktor Prasanna, University of Southern California, USA Performance Evaluation Chair: Ariel Oleksiak, PoznaÅ„ Supercomputing and Networking Center, Poland Altino Sampaio, Instituto PolitÃ©cnico do Porto, Portugal AurÃ©lien Cavelan, University of Basel, Switzerland Frederic Suter, French National Institute of Nuclear and Particle Physics, France Georges Da Costa, Universite Toulouse III - Paul Sabatier, France Giovanni Agosta, Politecnico di Milano, Italy Hamid Arabnejad, Brunel University, UK Hongyang Sun, Vanderbilt University, USA Lucas Schnorr, Federal University of Rio Grande do Sul, Brazil Martin Schulz Technical University of Munich, Germany System Software Chair: Jidong Zhai, Tsinghua University, China Ang Li, Pacific Northwest National Laboratory, USA Chi Zhou, Shenzhen University, China Christoph Kessler, LinkÃ¶ping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dandan Song, Beijing Institute of Technology, China Dazhao Cheng, University of North Carolina at Charlotte, USA Feng Zhang, Renmin University of China, China Guangyu Sun, Peking University, China Haikun Liu, Huazhong University of Science and Technology, China Mingyu Gao, Tsinghua University, China Philippe Navaux, Federal University of Rio Grande do Sul, Brazil Pradeep Kumar, William & Mary, USA Quan Chen, Shanghai Jiaotong University, China Shanjiang Tang, Tianjin University, China Shigang Li, ETH Zurich, Switzerland Teng Yu, Tsinghua University, China Vinod Rebello, Universidade Federal Fluminense, Brazil Zeyi Wen, National University of Singapore, Singapore Zhaoguo Wang, Shanghai Jiaotong University, China Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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[held online] Summer School on Machine Learning and Big Data with Quantum Computing, 7-8 September 2020
by Carlos Ferreira 23 May '20

23 May '20

Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020) Porto, Portugal, September 7-8, 2020 ##################################### Machine Learning (ML) is an Artificial Intelligence (AI) branch, that focuses on developing algorithms to teach how computers learn from data to make decisions or predictions. Deep Learning (DL) is part of a broader family of ML algorithms, that is based on artificial neural networks. Arguably, DL techniques demand for big amounts of data and, as such, they require huge computational resources and advanced processing techniques. Cloud Computing is a well-known alternative to deal with big amounts of data, since its elasticity allows for an efficient scalability of huge computational resources, such as, data storage and processing power. On the other hand, Quantum Computing is an advanced processing technique, that uses the fundamentals of quantum mechanics to accelerate the process of solving highly complex problems. SMBQ 2020 addresses the current trends in AI and in the computational techniques that deal with big data demands, together with, a powerful processing technique that will shape the future of computation. During 2 days, from 7-8 September 2020, we will introduce concepts, discuss the current trends and provide direct practical experience in hands-on lessons. For more information visit: https://smbq2020.dcc.fc.up.pt/ ##################################### Registration: Attendance is free, but it is required that participants register in advance by filling a form until 15 August, 2020. Prior to the event, information regarding the access of the live sessions will be sent to all registrants via email. The number of participants is limited, thus the registration process closes once the limit is reached. For any further information, please send a message to SMBQ2020. ##################################### Contact Persons: Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: cgf(a)isep.ipp.pt Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: miguel-areias(a)dcc.fc.up.pt Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP [Extended Deadline] : IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD2020) - Deadline Extended (May 22, 2020)
by Carlos Ferreira 15 May '20

15 May '20

SBAC-PAD 2020 32nd IEEE International Symposium on Computer Architecture and High Performance Computing September 8-11, 2020 Porto, Portugal sbac2020(a)dcc.fc.up.pt http://www2.sbc.org.br/sbac/ (Historical acceptance rate). ---------------------------------------------------------------------------- ** NEW ** SBAC-PAD2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in September, we will make SBAC-PAD2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore and the authors of the selected papers will be invited to submit an extended version of their work for publication on the Journal of Parallel and Distributed Computing (JPDC). The assessment of the outbreak's impact will be done until July, 31st. By that time, we will make an announcement, on the SBAC-PAD2020's webpage, about its schedulement. Stay safe! ---------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. More information about the conference can be found at https://sbac2020.dcc.fc.up.pt/ ---------------------------------------------------------------------------- Paper Submission ---------------------------------------------------------------------------- Authors are invited to submit original manuscripts on a wide range of high-performance computing areas, including computer architecture, systems software, languages and compilers, algorithms and applications. Topics of interest include (but are not limited to): -Application-specific systems -Architecture and Programming Support for Emerging Domains (Big Data, Deep Learning) -Benchmarking, performance measurements, and analysis -Cloud, Grid, cluster, and peer-to-peer systems -Embedded and pervasive systems -GPUs, FPGAs and other accelerator architectures -Languages, compilers, and tools for parallel and distributed programming -Modeling and simulation methodology -Operating systems and virtualization -Parallel and distributed systems, algorithms, and applications -Power and energy-efficient systems -Processor, cache, memory, storage, and network architecture -Real-world applications and case studies -Reconfigurable, resilient and fault-tolerant systems Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of selected papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. Paper submission will be done through EasyChair: https://www.easychair.org/conferences/?conf=sbacpad2020 ---------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------- Abstract deadline: May 22, 2020 Paper deadline: May 29, 2020 Reviewing period: May 30 - June 28, 2020 Rebuttal period: June 29 - July 4, 2020 Author notification: July 6, 2020 Camera-ready submission: July 13, 2020 ---------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------- General Chairs Inês Dutra, ines(a)dcc.fc.up.pt (University of Porto, Portugal) Jorge Barbosa, jbarbosa(a)fe.up.pt (University of Porto, Portugal) Miguel Areias, miguel-areias(a)dcc.fc.up.pt (University of Porto, Portugal) Program Co-chairs Jorge Barbosa (University of Porto, Portugal) Laurent Lefévre (Inria, ENS Lyon, University of Lyon, France) Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs Computer Architecture Chair: José Moreira, IBM Thomas J. Watson Research Center, USA Edson Borin, University of Campinas, Brazil Felipe França, State University of Rio de Janeiro, Brazil Gabriel Falcão, University of Coimbra, Portugal Jairo Panetta, Aeronautics Institute of Technology, Brazil Jean-Luc Gaudiot, University of California, USA Jose Reyes, University of Glasgow, UK Leandro Santiago, Federal Fluminense University, Brazil Lluc Alvarez, Barcelona Supercomputing Center, Spain Nuno Roma, University of Lisbon, Portugal Peter Hofstee, IBM Austin Research Laboratory, USA Rodolfo Azevedo, University of Campinas, Brazil Serif Yesil, University of Illinois, USA Wagner Meira, Federal University of Minas Gerais, Brazil Networking and Distributed Systems Chair: Jesús Carretero, University Carlos III of Madrid, Spain Alexey Lastovetsky, University College Dublin, Ireland Angelos Bilas, FORTH-ICS and University of Crete, Greece Bruno Schulze, National Laboratory for Scientific Computing (LNCC), Brazil Carla Osthoff Barros, National Laboratory for Scientific Computing (LNCC), Brazil Domenico Talia, University of Calabria, Italy Emmanuel Jeannot, INRIA, France Jose Luis Gonzalez, Instituto Tecnológico de Ciudad Valles (ITV), México Leonel Sousa, Universidade de Lisboa, Portugal Marco Aldinucci, University of Torino, Italy Silvina Caino, University of Tennessee, USA Parallel Applications and Algorithms Chair: Alba Melo, University of Brasília, Brazil Alfredo Goldman, University of São Paulo, Brazil Ananth Kalyanaraman, Washington State University, USA Anne Benoit, ENS Lyon‐LIP, France Antonio J. Peña, Barcelona Supercomputing Center (BSC), Spain Bertil Schmidt, University of Mainz, Germany Cristiana Bentes, State University of Rio de Janeiro, Brazil Cristina Boeres, Federal Fluminense University, Brazil Edson Caceres, Federal University of Mato Grosso do Sul, Brazil George Teodoro, Federal University of Minas Gerais, Brazil Gianfranco Bilardi, University of Padova, Italy Jose Nelson Amaral, University of Alberta, Canada Luciana Arantes, Université Pierre et Marie Curie-Paris, France Ricardo Rocha, University of Porto, Portugal Viktor Prasanna, University of Southern California, USA Performance Evaluation Chair: Ariel Oleksiak, Poznań Supercomputing and Networking Center, Poland TBA System Software Chair: Jidong Zhai, Tsinghua University, China Ang Li, Pacific Northwest National Laboratory, USA Chi Zhou, Shenzhen University, China Christoph Kessler, Linköping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dandan Song, Beijing Institute of Technology, China Dazhao Cheng, University of North Carolina at Charlotte, USA Feng Zhang, Renmin University of China, China Guangyu Sun, Peking University, China Haikun Liu, Huazhong University of Science and Technology, China Mingyu Gao, Tsinghua University, China Pradeep Kumar, William & Mary, USA Quan Chen, Shanghai Jiaotong University, China Shanjiang Tang, Tianjin University, China Shigang Li, ETH Zurich, Switzerland Teng Yu, Tsinghua University, China Zeyi Wen, National University of Singapore, Singapore Zhaoguo Wang, Shanghai Jiaotong University, China Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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[held online] CFP: Big Data & Deep Learning in HPC (IEEE Xplore) @Porto, Portugal
by Carlos Ferreira 13 May '20

13 May '20

Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (BDL2020) (https://sbac2020.dcc.fc.up.pt/bdl2020/) in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (https://sbac2020.dcc.fc.up.pt/) September 9, 2020, Porto, Portugal ---------------------------------------------------------------------------- ** NEW ** BDL2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in September, we will make BDL2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore. The Workshop fee is now 200 euros. ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ KEY DATES ------------------------------------ Deadline for paper submission: May 25, 2020 Author notification: July 1, 2020 Camera-ready version of papers: July 25, 2020 ------------------------------------ SUBMISSION ------------------------------------ We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore. Submissions must be in English, limited to 8 pages in the IEEE conference format (see https://www.ieee.org/conferences/publishing/templates.html) All submissions should be made electronically through the EasyChair system: https://easychair.org/conferences/?conf=bdl2020 ------------------------------------ REGISTRATION ------------------------------------ A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings. The Workshop fee is 200 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ VENUE ------------------------------------ Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) João Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP: SBAC-PAD 2020 (Submission due: May 15th, 2020) IEEE International, Symposium on Computer Architecture and High Performance Computing
by Carlos Ferreira 04 May '20

04 May '20

SBAC-PAD 2020 32nd IEEE International Symposium on Computer Architecture and High Performance Computing September 8-11, 2020 Porto, Portugal sbac2020(a)dcc.fc.up.pt http://www2.sbc.org.br/sbac/ (Historical acceptance rate). ---------------------------------------------------------------------------- ** NEW ** SBAC-PAD2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in September, we will make SBAC-PAD2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore and the authors of the selected papers will be invited to submit an extended version of their work for publication on the Journal of Parallel and Distributed Computing (JPDC). The assessment of the outbreak's impact will be done until July, 31st. By that time, we will make an announcement, on the SBAC-PAD2020's webpage, about its schedulement. Stay safe! ---------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. More information about the conference can be found at https://sbac2020.dcc.fc.up.pt/ ---------------------------------------------------------------------------- Paper Submission ---------------------------------------------------------------------------- Authors are invited to submit original manuscripts on a wide range of high-performance computing areas, including computer architecture, systems software, languages and compilers, algorithms and applications. Topics of interest include (but are not limited to): - Application-specific systems - Architecture and Programming Support for Emerging Domains (Big Data, Deep Learning) - Benchmarking, performance measurements, and analysis - Cloud, Grid, cluster, and peer-to-peer systems - Embedded and pervasive systems - GPUs, FPGAs and other accelerator architectures - Languages, compilers, and tools for parallel and distributed programming - Modeling and simulation methodology - Operating systems and virtualization - Parallel and distributed systems, algorithms, and applications - Power and energy-efficient systems - Processor, cache, memory, storage, and network architecture - Real-world applications and case studies - Reconfigurable, resilient and fault-tolerant systems Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of selected papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. Paper submission will be done through EasyChair: https://www.easychair.org/conferences/?conf=sbacpad2020 ---------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------- Abstract deadline: May 15th, 2020 Paper deadline: May 22nd, 2020 Reviewing period: May 24-Jun 21, 2020 Author notification: June 26th, 2020 Camera-ready submission: July 3rd, 2020 ---------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------- General Chairs - Inês Dutra,ines(a)dcc.fc.up.pt (University of Porto, Portugal) - Jorge Barbosa,jbarbosa(a)fe.up.pt (University of Porto, Portugal) - Miguel Areias,miguel-areias(a)dcc.fc.up.pt (University of Porto, Portugal) Program Co-chairs - Jorge Barbosa (University of Porto, Portugal) - Laurent Lefévre (Inria, ENS Lyon, University of Lyon, France) - Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs - Computer Architecture - Chair: José Moreira, IBM Thomas J. Watson Research Center, USA - TBA - Networking and Distributed Systems - Chair: Jesús Carretero, University Carlos III of Madrid, Spain - Alexey Lastovetsky, University College Dublin, Ireland - Angelos Bilas, FORTH-ICS and University of Crete, Greece - Bruno Schulze, National Laboratory for Scientific Computing (LNCC), Brazil - Carla Osthoff Barros, National Laboratory for Scientific Computing (LNCC), Brazil - Domenico Talia, University of Calabria, Italy - Emmanuel Jeannot, INRIA, France - Jose Luis Gonzalez, Instituto Tecnológico de Ciudad Valles (ITV), México - Leonel Sousa, Universidade de Lisboa, Portugal - Marco Aldinucci, University of Torino, Italy - Silvina Caino, University of Tennessee, USA - Parallel Applications and Algorithms - Chair: Alba Melo, University of Brasília, Brazil - Alfredo Goldman, University of São Paulo, Brazil - Ananth Kalyanaraman, Washington State University, USA - Anne Benoit, ENS Lyon‐LIP, France - Antonio J. Peña, Barcelona Supercomputing Center (BSC), Spain - Bertil Schmidt, University of Mainz, Germany - Cristiana Bentes, State University of Rio de Janeiro, Brazil - Cristina Boeres, Federal Fluminense University, Brazil - Edson Caceres, Federal University of Mato Grosso do Sul, Brazil - George Teodoro, Federal University of Minas Gerais, Brazil - Gianfranco Bilardi, University of Padova, Italy - Jose Nelson Amaral, University of Alberta, Canada - Luciana Arantes, Université Pierre et Marie Curie-Paris, France - Ricardo Rocha, University of Porto, Portugal - Viktor Prasanna, University of Southern California, USA - Performance Evaluation - Chair: Ariel Oleksiak, Poznań Supercomputing and Networking Center, Poland - TBA - System Software - Chair: Jidong Zhai, Tsinghua University, China - Ang Li, Pacific Northwest National Laboratory, USA - Chi Zhou, Shenzhen University, China - Christoph Kessler, Linköping University, Sweden - Clemens Grelck, University of Amsterdam, Netherlands - Dandan Song, Beijing Institute of Technology, China - Dazhao Cheng, University of North Carolina at Charlotte, USA - Feng Zhang, Renmin University of China, China - Guangyu Sun, Peking University, China - Haikun Liu, Huazhong University of Science and Technology, China - Mingyu Gao, Tsinghua University, China - Pradeep Kumar, William & Mary, USA - Quan Chen, Shanghai Jiaotong University, China - Shanjiang Tang, Tianjin University, China - Shigang Li, ETH Zurich, Switzerland - Teng Yu, Tsinghua University, China - Zeyi Wen, National University of Singapore, Singapore - Zhaoguo Wang, Shanghai Jiaotong University, China Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP: HLPP2020 - Deadline Extended *** May, 4th (AoE) ***
by Carlos Ferreira 15 Apr '20

15 Apr '20

HLPP 2020 The 13th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 9-10 July, 2020 https://hlpp2020.dcc.fc.up.pt/ hlpp2020(a)dcc.fc.up.pt ---------------------- *** NEW *** Covid‑19 (Coronavirus) ---------------------- We are monitoring the ongoing outbreak, and following recommendations and guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in July, we will make HLPP2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be selected for IJPP. Moreover, we have also extended the submission deadline to May, 4th (AoE). The assessment of the outbreak's impact in HLPP2020 will be done at June, 15th. By that time, we will make an announcement, on HLPP2020's webpage, about its new format (schedulement, registration values, etc). Stay safe! ---------------------- Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 13th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. ------ Topics ------ HLPP 2020 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high-level languages and tools * Formal models of timing and real-time verification for parallel systems ------------------ Local Organization ------------------ Inês Dutra, University of Porto, Portugal Miguel Areias, University of Porto, Portugal Ricardo Rocha, University of Porto, Portugal ----------------- Program Committee ----------------- Agostino Dovier, University of Udine, Italy Aleksandar Prokopec, Ecole Polytechnique Fédérale de Lausanne, Switzerland Ana Lucia Varbanescu, University of Amsterdam, Netherlands Christoph Kessler, Linköping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dalvan Griebler, PUCRS/SETREM, Brasil Frank Pfenning, Carnegie Mellon University, USA Frederic Loulergue, Northern Arizona University, USA Frédéric Dabrowski, LIFO - Université d'Orléans, France Gaetan Hains, Huawei Paris Research Center, France Herbert Kuchen, University of Münster, Germany Joel Falcou, Univeristé Paris Sud, France Kiminori Matsuzaki, Kochi University of Technology, Japan Kostis Sagonas, Uppsala University, Sweden Marco Aldinucci, University of Torino, Italy Massimo Torquati, University of Pisa, Italy Michel Steuwer, University of Glasgow, UK Murray Cole, The University of Edinburgh, UK Peter Kilpatrick, Queen's University Belfast, UK ---------------- Important dates ---------------- Submission deadline: May, 4th (AoE) Author notification: June, 4th Camera-ready for draft proceedings: July, 1st Early registration deadline: June, 10th Symposium: July, 9th-10th (Thursday/Friday) IJPP (HLPP special issue) submission deadline: October, 1st IJPP (HLPP special issue) camera-ready for journal publication: December, 1st ---------------- Paper submission ---------------- Papers submitted to HLPP 2020 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. After the symposium you have ample time to revise the paper incorporating potential comments and remarks of your colleagues. We expect the the HLPP 2020 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2021. ----------- Proceedings ----------- Accepted papers will be distributed as informal draft proceedings during the symposium. Accepted papers will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP: International Symposium on High-level Parallel Programming and Applications (HLPP 2020) @Porto, Portugal
by Carlos Ferreira 02 Apr '20

02 Apr '20

HLPP 2020 The 13th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 9-10 July, 2020 https://hlpp2020.dcc.fc.up.pt/ hlpp2020(a)dcc.fc.up.pt Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 13th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. Topics ------ HLPP 2020 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high-level languages and tools * Formal models of timing and real-time verification for parallel systems Local Organization ------------------ Inês Dutra Miguel Areias Ricardo Rocha Important dates: ---------------- Submission deadline: 6th, April (anywhere on earth) Author notification: 4th, June Camera-ready for draft proceedings: 1st, July Early registration deadline: 10th, June Symposium: 9th-10th, July (Thursday/Friday) IJPP (HLPP special issue) submission deadline: 1st, October IJPP (HLPP special issue) camera-ready for journal publication: 01st, December Paper submission ---------------- Papers submitted to HLPP 2020 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. At least one author of each accepted paper must register for the HLPP 2020 symposium and present the paper. After the symposium you have ample time to revise the paper incorporating potential comments and remarks of your colleagues. We expect the the HLPP 2020 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2021. Proceedings ------------ Accepted papers will be distributed as informal draft proceedings during the symposium. Accepted papers will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). Venue ----- HLPP 2020 will be hosted by the Dept. of Computer Science (GPS coords 41.152545, -8.640758) of the Faculty of Sciences of the University of Porto (FCUP). Participants may reserve rooms in several of the nearby Hotels. As the symposium will be held in the tourist season, the organizers recommend a timely reservation of rooms. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP: Big Data & Deep Learning in HPC (IEEE Xplore) @Porto, Portugal
by Carlos Ferreira 01 Apr '20

01 Apr '20

Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (https://sbac2020.dcc.fc.up.pt/bdl2020/) in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (https://sbac2020.dcc.fc.up.pt/) September 9, 2020, Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ KEY DATES ------------------------------------ Deadline for paper submission: May 25, 2020 Author notification: July 1, 2020 Camera-ready version of papers: July 25, 2020 ------------------------------------ SUBMISSION ------------------------------------ We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore. Submissions must be in English, limited to 8 pages in the IEEE conference format (see https://www.ieee.org/conferences/publishing/templates.html) All submissions should be made electronically through the EasyChair system: https://easychair.org/conferences/?conf=bdl2020 ------------------------------------ REGISTRATION ------------------------------------ A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings. The Workshop fee is 300 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ VENUE ------------------------------------ Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) João Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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CFP: SBAC - PAD 2020 - IEEE International Symposium on Computer Architecture and High Performance Computing
by Carlos Ferreira 31 Mar '20

31 Mar '20

SBAC - PAD 2020 - IEEE International Symposium on Computer Architecture and High Performance Computing Department of Computer Science, School of Sciences, University of Porto Porto, Portugal Web page: https://sbac2020.dcc.fc.up.pt E-mail: sbac2020(a)dcc.fc.up.pt Call for Papers ------------------------------------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Authors are invited to submit manuscripts on a wide range of high-performance and distributed computing areas. Topics of interest include (but are not limited to): * Application-specific systems * Architecture and programming support for emerging domains (Big Data, Deep Learning, Machine learning, Cognitive Systems) * Benchmarking, performance measurements, and analysis * Cloud, cluster, and edge/fog computing systems * Embedded and pervasive systems * GPUs, FPGAs and accelerator architectures * Languages, compilers, and tools for parallel and distributed programming * Modeling and simulation methodology * Operating systems and virtualization * Parallel and distributed systems, algorithms, and applications * Power and energy-efficient systems * Processor, cache, memory, storage, and network architecture * Real-world applications and case studies * Reconfigurable, resilient and fault-tolerant systems Paper Submission ------------------------------------------------------------------------------------------------------- Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of accepted papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. The call will be open and will follow the normal journal submission procedure. Important Dates ------------------------------------------------------------------------------------------------------- Abstract deadline: May 15th, 2020 Paper deadline: May 22nd, 2020 Reviewing period: May 24-Jun 21, 2020 Author notification: June 26th, 2020 Camera-ready submission: July 3rd, 2020 Organizing Committee ------------------------------------------------------------------------------------------------------- General Chairs * InêsDutra.ines(a)dcc.fc.up.pt <mailto:ines@dcc.fc.up.pt>(University of Porto, Portugal) * Jorge Barbosa,jbarbosa(a)fe.up.pt <mailto:jbarbosa@fe.up.pt>(University of Porto, Portugal) * Miguel Areias,miguel-areias(a)dcc.fc.up.pt <mailto:miguel-areias@dcc.fc.up.pt>(University of Porto, Portugal) Program Co-chairs * Jorge Barbosa (University of Porto, Portugal) * Laurent Lefèvre (Inria, ENS Lyon, University of Lyon, France) * Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs * Computer Architecture o Chair: José Moreira (IBM Thomas J. Watson Research Center, USA) * Networking and Distributed Systems o Chair: Jesús Carretero (University Carlos III of Madrid, Spain) * Parallel Applications and Algorithms o Chair: Alba Melo (Universidade de Brasília, Brazil) * Performance Evaluation o Chair: Ariel Oleksiak (Poznań Supercomputing and Networking Cente, Poland) * System Software o Chair: Jidong Zhai (Tsinghua University, China) Publicity Chairs * Carlos Ferreira, Instituto Superior de Engenharia, Portugal * Miguel Areias, University of Porto, Portugal * Feng Zhang, Renmin University of China Workshop Chairs * Miguel Areias, University of Porto, Portugal * Iván Carrera, Escuela Politécnica Nacional, Quito, Equador and University of Porto, Portugal Publications Chairs * IEEE - Proceedings o Rui Camacho, University of Porto, Portugal o Iván Carrera, Escuela Politécnica Nacional, Quito, Equador and University of Porto, Portugal * JPDC - Special Issue o Jorge Barbosa, University of Porto, Portugal Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail(a)isep.ipp.pt | www.isep.ipp.pt

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