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and

IEEE Computer Society Technical Committees on Computer Architecture & Distributed Processing

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LSU

COMING SOON

Call for Participation
IPDPS 2021 Portland

35th IEEE International
Parallel & Distributed
Processing Symposium

May 17-21, 2021
Portland Hilton Downtown
Portland, Oregon USA

IPDPS 2020 Call for Papers (CLOSED)

IPDPS 2020

34th IEEE International Parallel &
Distributed Processing Symposium

May 18-22, 2020
Hilton New Orleans Riverside
New Orleans, Louisiana USA

IPDPS 2020 Call for Papers Flyer (PDF)

 PLEASE NOTE:

  • Authors must register their paper; submit an abstract by October 7, 2019.
  • Authors must then submit full versions of registered papers by October 14, 2019.
  • All deadlines are end of day ANYWHERE ON EARTH.
  • Before submitting, review the information under WHAT/WHERE TO SUBMIT below.

Abstracts are due October 7th and full manuscripts must be received by October 14th. This is a final, hard deadline. To ensure fairness, no extensions will be given.

SCOPE

Authors are invited to submit manuscripts that present original unpublished research in all areas of parallel and distributed processing, including translational research such as the development and operation of experimental or commercial systems. Work focusing on emerging technologies and interdisciplinary work covering multiple IPDPS focus areas is especially welcome. Topics of interest include but are not limited to the following topic areas:

  • Parallel and distributed computing theory and algorithms (Algorithms): Design and analysis of novel numerical and combinatorial parallel algorithms; reputation and incentive compatible design for distributed protocols and for distributed resource management; communication and synchronization on parallel and distributed systems; parallel algorithms handling power, mobility, and resilience; algorithms for cloud computing; algorithms for edge and fog computing; machine learning algorithms; domain-specific parallel and distributed algorithms; randomization in distributed algorithms and block-chain protocols.
  • Experiments and practice in parallel and distributed computing (Experiments): Design and experimental evaluation of applications of parallel and distributed computing in simulation and analysis; experiments on the use of novel commercial or research architectures, accelerators, neuromorphic and quantum architectures, and other non-traditional systems; performance modeling and analysis of parallel and distributed systems; innovations made in support of large-scale infrastructures and facilities; pragmatic strategies and experiences for allocating, managing, and accounting system- or facility-wide resources.
  • Programming models, compilers and runtimes for parallel applications and systems (Programming Models & Compilers): Parallel programming paradigms, models and languages; compilers, runtime systems, programming environments and tools for the support of parallel programming; parallel software development and productivity.
  • System software and middleware for parallel and distributed systems (System Software): System software support for scientific workflows (including in-situ workflows); storage and I/O systems; system software for resource management, job scheduling, and energy-efficiency; frameworks targeting cloud and distributed systems; system software support for accelerators and heterogeneous HPC computing systems; interactions between the OS, runtime, compiler, middleware, and tools; system software support for fault tolerance and resilience; containers and virtual machines; system software supporting data management, scalable data analytics, machine learning, and deep learning; specialized operating systems and runtime systems for high performance computing and exascale systems; system software for future novel computing platforms including quantum, neuromorphic, and bio-inspired computing.
  • Architecture: Architectures for instruction-level and thread-level parallelism; manycore, multicores, accelerators, domain-specific and special-purpose architectures, reconfigurable architectures;  memory technologies and hierarchies; volatile and non-volatile emerging memory technologies, solid-state devices; exascale system designs; data center architectures; novel big data architectures; network and interconnect architectures; emerging technologies for interconnects; parallel I/O and storage systems; power-efficient and green computing systems; resilience, security, and dependable architectures; performance modeling and evaluation; emerging trends for computing, machine learning, approximate computing, quantum computing, neuromorphic computing and analog computing.
  • Multidisciplinary: Papers that cross the boundaries of the tracks listed above and/or address the application of parallel and distributed computing concepts and solutions to other areas of science and engineering are encouraged and can be submitted to the multidisciplinary track. Papers focused on translational research are particularly encouraged. Contributions should either target two or more core areas of parallel and distributed computing where the whole is larger than sum of its components, or advance the use of parallel and distributed computing in other areas of science and engineering.  During the submission of multidisciplinary papers, authors should indicate the areas of focus of their paper.

BEST PAPER AWARDS

The program committee will nominate a few papers for recognition. Upon presentation at a special session, the best papers will be selected by a committee.

WHAT/WHERE TO SUBMIT

Abstracts must be submitted by October 7, 2019; submitted abstracts may not exceed 500 words. Manuscripts must be submitted by October 14, 2019; submitted manuscripts may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The submitted manuscripts should include author names and affiliations.

The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here.

Files should be submitted by following the instructions at the IPDPS 2020 Submission Site (powered by Linklings). Click here to submit abstract and register your paper by October 7th.

REVIEW OF MANUSCRIPTS

All submitted manuscripts will be reviewed by the Program Committee. Submissions will be judged on correctness, originality, technical strength, significance, potential impact, quality of presentation, and interest and relevance to the conference scope. Submitted papers should NOT have appeared in or be under consideration for another conference, workshop or journal. Authors will have the opportunity to provide feedback on the reviews of their submission before the Program Committee convenes for a final decision.

Questions may be sent to pc2020@ipdps.org. Abstracts are due October 7, 2019, and full manuscripts must be received by October 14, 2019. This is a final, hard deadline. To ensure fairness, no extensions will be given.

Preliminary decisions will be sent by December 9, 2019, with a decision of either accept, revise, or reject. Authors of “revised” papers will have the opportunity to revise the content according to reviewers’ comments and will submit their final paper (together with a cover letter explaining the changes) by January 6, 2020.  Notification of final decisions will be mailed by January 20, 2020 and camera-ready papers will be due February 15, 2020.

2020 IMPORTANT DATES

Abstracts due October 7, 2019
Submissions due October 14, 2019
Program committee meeting December 7, 2019
Preliminary decisions December 9, 2019
Final submissions due January 6, 2020
Final notification January 20, 2020
Camera ready due February 15, 2020

2020 PROGRAM CHAIR

Yuanyuan Yang (NSF and Stony Brook University, USA)

2020 PROGRAM AREA CHAIRS AND VICE CHAIRS

Algorithms:
Xiaotie Deng (Peking University, China) and
Songtao Guo (Chongqing University, China)
 
Architecture:
Ahmed Louri (George Washington University, USA) and
Avinash Karanth (Ohio University, USA)

Experiments:
Xin Yuan (Florida State University, USA) and
Scott Pakin (Los Alamos National Laboratory, USA)
 
System Software:
Alan Sussman (NSF and University of Maryland, College Park, USA) and
Zhiling Lan (Illinois Institute of Technology, USA)

Programming Models & Compilers: 
Rudolf Eigenmann (University of Delaware, USA) 
Zhiyuan Li (Purdue University, USA) 
 
Multidisciplinary:
Manish Parashar (NSF and Rutgers University, USA)
Ivona Brandić (Vienna University of Technology, Austria)

2020 PROGRAM COMMITTEE

(25 October 2019*)

ALGORITHMS:
Primary

Vipin Chaudhary, University at Buffalo, USA
Suprakash Datta, York University, Canada
Funda Ergun, National Science Foundation, Indiana University, USA
John Gilbert, University of California, Santa Barbara, USA
Xiaohua Jia, City University of Hong Kong, Hong Kong
Ananth Kalyanaraman, Washington State University, USA
Samee Khan, North Dakota State University, USA
Zhenhua Liu, Stony Brook University, USA
Erik Saule, University of North Carolina, Charlotte, USA
Paul Spirakis, University of Liverpool, University of Patras, UK and Greece
Jianping Wang, City University of Hong Kong, Hong Kong
Fan Ye, Stony Brook University, USA
Zhenghao Zhang, Florida University, USA

Regular
Anne Benoit, ENS Lyon, France
Kaigui Bian, Peking University, China
Quan Chen, Shanghai Jiao Tong University, China
Yukun Cheng, Suzhou University of Science and Technology, China
Rezaul Chowdhury, Stony Brook University, USA
Haipeng Dai, Nanjing University, State Key Lab for Novel Software Technology, China
Jun Duan, IBM, USA
Jianxi Fan, Soochow University, Provincial Key Lab for Computer Information Processing Technology, China
Tom Friedetzky, Durham University, UK
Yan Gu, Carnegie Mellon University, USA
Leszek Gasieniec, University of Liverpool, UK
Jingyu Hua, Nanjing University, China
Klaus Jansen, University of Kiel, Germany
Weijia Jia, University of Macau, China
Shaofeng Jiang, Weizmann Institute of Science, Israel
Hai Jin, Huazhong University of Science & Technology, China
Christos Kaklamanis, University of Patras and CTI "Diophantus", Greece
Minming Li, City University of Hong Kong, Hong Kong
Zhenhua Li, Amazon, USA
Giorgio Lucarelli, University of Lorraine, France
Qi Qi, Hong Kong University of Science and Technology, Hong Kong
Michele Scquizzato, University of Padova, Italy
Oliver Sinnen, University of Auckland, New Zealand
Alexander Tiskin, University of Warwick, UK
Fr?d?ric Vivien, French Institute for Research in Computer Science and Automation (INRIA), France
Yu Wang, Temple University, USA
Cong Wang, Old Dominion University, USA
Tao Xiang, Chongqing University, China
Bin Xiao, The Hong Kong Polytechnic University, Hong Kong
Tao Xiao, Shanghai Jiaotong University, China
Xiang Yan, Harvard University, USA
Jie Zhang, University of Southampton, UK

EXPERIMENTS:
Primary

Ahmad Afsahi, Queen's University, Canada, Canada
Kyle Chard, University of Chicago, Argonne National Laboratory, USA
Maryam Dehnavi, University of Toronto, Canada
Peyman Faizian, University of North Florida, USA
John Feo, Pacific Northwest National Laboratory (PNNL), USA
Todd Gamblin, Lawrence Livermore National Laboratory, USA
Gokcen Kestor, Pacific Northwest National Laboratory (PNNL), USA
John Linford, ARM Ltd, USA
Atiqul Mollah, Oakland University, USA
Shirley V. Moore, Oak Ridge National Laboratory, USA
Antonio J. Pe?a, Barcelona Supercomputing Center, Spain
Jia Rao, University of Texas at Arlington, USA
Laura Schulz, Leibniz Supercomputing Centre, Germany
Hari Subramoni, Ohio State University, USA
Brian C. Van Essen, Lawrence Livermore National Laboratory, USA
Weikuan Yu, Florida State University, USA
Jidong Zhai, Tsinghua University, China

Regular
David Abramson, University of Queensland, Australia
Sadaf R. Alam, Swiss National Supercomputing Centre (CSCS), ETH Zurich, Switzerland
Kevin J. Barker, Pacific Northwest National Laboratory (PNNL), USA
David Beckingsale, Lawrence Livermore National Laboratory, USA
Janki Bhimani, Florida International University, USA
Robert Bird, Los Alamos National Laboratory, USA
Zizhong Chen, University of California, Riverside, USA
Sudheer Chunduri, Argonne National Laboratory, USA
Saliya Ekanayake, Virginia Tech, USA
Daniel Faraj, Hewlett Packard Enterprise (HPE), USA
Hal Finkel, Argonne National Laboratory, LLVM Foundation, USA
Rong Ge, Clemson University, USA
Kartik Gopalan, Binghamton University, USA
Jeff R. Hammond, Intel Corporation, USA
Nikhil Jain, Nvidia Corporation, USA
Guido Juckeland, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany
Jack Lange, University of Pittsburgh, USA
Xu Liu, College of William & Mary, USA
David Lowenthal, University of Arizona, USA
Allen Malony, University of Oregon, USA
Joseph Manzano, Pacific Northwest National Laboratory (PNNL), USA
Diana Moise, Cray Inc., USA
Jos? Moreira, IBM Corporation, USA
Frank Mueller, North Carolina State University, USA
Arun Rodrigues, Sandia National Laboratories, USA
Catherine Schuman, University of Tennessee, USA
Thomas R. W. Scogland, Lawrence Livermore National Laboratory, USA
Oguz Selvitopi, Lawrence Berkeley National Laboratory, USA
Fengguang Song, Indiana University-Purdue University Indianapolis (IUPUI), USA
Antonino Tumeo, Pacific Northwest National Laboratory (PNNL), USA
Didem Unat, Koc University, Turkey
Bo Wu, Colorado School of Mines, USA
Jeff Young, Georgia Tech, USA
Ming Zhao, Arizona State University, USA
Xiaobo Zhou, University of Colorado, Colorado Springs, USA

PROGRAMMING MODELS & COMPILERS:
Primary

Bruce Childers, University of Pittsburgh, USA
Florina M. Ciorba, University of Basel, Switzerland
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Chen Ding, University of Rochester, USA
Jenq-Kuen Lee, National Tsing Hua University, Taiwan
Dimitrios Nikolopoulos, Queen's University Belfast, United Kingdom
Eunjung Park, Los Alamos National Laboratory, USA
Olga Pearce, Lawrence Livermore National Laboratory, USA
Keshav Pingali, University of Texas, USA
Mitsuhisa Sato, RIKEN Center for Computational Science, Japan
Martin Schulz, Technical University Munich, Germany
Dario Suarez-Gracia, University of Zaragoza, Spain
Yonghong Yan, University of North Carolina, Charlotte, USA
Zheng Zhang, Rutgers University, USA

Regular
Patrick Carribault, Atomic Energy and Alternative Energies Commission, France
Marc Casas Guix, Barcelona Supercomputing Center, Polytechnic University of Catalonia, Spain
Emmanuel Chailloux, LIP6, Laboratoire d'Informatique de Paris 6; Sorbonne Universit?, CNRS, France
Kei Davis, Los Alamos National Laboratory, USA
Xiaobing Feng, Institute of Computing Technology; University of Chinese Academy of Sciences, China
Christian Fensch, ARM Norway, Norway
Sergei Gorlatch, University of M?nster, Germany
Ruben Gran, University of Zaragoza, Spain
Clemens Grelck, University of Amsterdam, Netherlands
Mary Hall, University of Utah, USA
Christoph Kessler, Linkoping University, Sweden
Doug Lea, SUNY Oswego, USA
Jaejin Lee, Seoul National University, South Korea
Lei Liu, Institute of Computing Technology, Chinese Academy of Sciences, China
Patrick Maier, Sheffield Hallam University, United Kingdom
Geoffrey Mainland, Drexel University, USA
Alexandru Nicolau, University of California, Irvine, USA
Catherine Olschanowsky, Boise State University, USA
Miquel Pericas, Chalmers University of Technology, Sweden
Louis-Noel Pouchet, Colorado State University, USA
Amit Sabne, Microsoft Corporation, USA
Ponnuswamy Sadayappan, University of Utah, USA
Putt Sakdhnagool, National Electronics and Computer Technology Center, Thailand
Rob Stewart, Heriot-Watt University, United Kingdom
Phil Trinder, University of Glasgow, United Kingdom
Zheng Wang, Lancaster University, United Kingdom
Jingling Xue, University of New South Wales, Australia
Minjia Zhang, Microsoft Research, USA

SYSTEM SOFTWARE:
Primary

Gagan Agrawal, The Ohio State University, USA
George Bosilca, University of Tennessee, USA
Ron Brightwell, Sandia National Laboratories, USA
Suren Byna, Lawrence Berkeley National Laboratory, USA
Yong Chen, Texas Tech University, USA
Dilma Da Silva, Texas A&M University, USA
Wu Feng, Virginia Tech, USA
Maya Gokhale, Lawrence Livermore National Laboratory, USA
Robin J. Goldstone, Lawrence Livermore National Laboratory, USA
Siddhartha Jana, Intel Corporation, Energy Efficient HPC Working Group, USA
Larry Kaplan, Cray Inc, USA
Karen L. Karavanic, Portland State University, USA
Dong Li, University of California, Merced, USA
Bogdan Nicolae, Argonne National Laboratory, USA
Ioan Raicu, Illinois Institute of Technology, Argonne National Laboratory, USA

Regular
Gabriel Antoniu, French Institute for Research in Computer Science and Automation (INRIA), France
Leonardo Bautista-Gomez, Barcelona Supercomputing Center, Spain
Patrick Bridges, University of New Mexico, USA
Ali R. Butt, Virginia Tech, USA
Kirk Cameron, Virginia Tech, USA
Henri Casanova, University of Hawaii at Manoa, USA
Juan Chen, National University of Defense Technology, China
James Dinan, Intel Corporation, USA
Peter Dinda, Northwestern University, USA
Trilce Estrada, University of New Mexico, USA
Thomas Fahringer, University of Innsbruck, Austria
Liana Fong, IBM Research, IBM Corporation, USA
Ann Gentile, Sandia National Laboratories, USA
Kyle Hale, Illinois Institute of Technology, USA
Kevin Harms, Argonne National Laboratory, USA
Kamil Iskra, Argonne National Laboratory, USA
Shantenu Jha, Brookhaven National Laboratory, Rutgers University, USA
Scott Klasky, Oak Ridge National Laboratory, USA
Qing Liu, New Jersey Institute of Technology, Oak Ridge National Laboratory, USA
Satoshi Matsuoka, RIKEN, Tokyo Institute of Technology, Japan
Guillaume Pallez, INRIA, University of Bordeaux, France
Sangmi Pallickara, Colorado State University, USA
Dhabaleswar K. (DK) Panda, The Ohio State University, USA
Fabrizio Petrini, Intel Corporation, USA
Weisong Shi, Wayne State University, USA
Douglas Thain, University of Notre Dame, USA
Jesper Larsson Tr?ff, Technical University Wien (Vienna University of Technology), Austria
Venkatram Vishwanath, Argonne National Laboratory, USA
Felix Wolf, Technical University Darmstadt, Germany
Justin Wozniak, Argonne National Laboratory, University of Chicago, USA
Shu Yin, ShanghaiTech University, State Key Lab of High Performance Computing, China
Ming Zhao, Arizona State University, USA

ARCHITECTURE:
Primary

Ramon Canal, Universitat Polit?cnica de Catalunya, Spain
Lizhong Chen, Oregon State University, USA
Xiuzhen Cheng, George Washington University, USA
Ann Gordon-Ross, University of Florida, USA
Hong Jiang, University of Texas at Arlington, USA
Mahmut Kandemir, Penn State University, USA
Ulya Karpuzcu, University of Minnesota, USA
Tao Li, University of Florida, USA
Xuehai Qian, University of Southern California, USA
Jiwu Shu, Tsinghua University, China
Per Stenstr?m, Chalmers University of Technology, Sweden
Devesh Tiwari, Northeastern University, USA
Guru Venkataramani, George Washington University, USA
Jun Wang, University of Central Florida, USA

Regular
Nael Abu-Ghazaleh, University of California, Riverside, USA
Manuel E. Acacio, University of Murcia, Spain
Amro Awad, University of Central Florida, USA
Abhinav Bhatele, University of Maryland, Lawrence Livermore National Laboratory, USA
Ali R. Butt, Virginia Tech, USA
Koushik Chakraborty, Utah State University, USA
Yiran Chen, Duke University, USA
Lide Duan, Alibaba DAMO Academy, University of Texas at San Antonio, USA
Michel Dubois, University of Southern California, USA
Xin Fu, University of Houston, USA
Liji Gopalkrishnan, Rambus, USA
Ryan Grant, Sandia National Laboratories, University of New Mexico, USA
Minyi Guo, Shanghai Jiao Tong University, China
Xiaochen Guo, Lehigh University, USA
James Hoe, Carnegie Mellon University, USA
Michael C. Huang, University of Rochester, USA
Wen-mei Hwu, University of Illinois, USA
Duo Liu, Chongqing University, China
Hiroki Matsutani, Keio University, Japan
Gokhan Memik, Northwestern University, USA
Avi Mendelson, Technion - Israel Institute of Technology, Israel
George Michelogiannakis, Lawrence Berkeley National Laboratory, Stanford University, USA
Abdullah Muzahid, Texas A&M University, USA
Umit Ogras, Arizona State University, USA
Ozcan Ozturk, Bilkent University, Turkey
Lu Peng, Louisiana State University, USA
Fabrizio Petrini, Intel Corporation, USA
Minsoo Rhu, Korea Advanced Institute of Science and Technology (KAIST), Korea
Smruti Sarangi, IIT Delhi, India
Andre Seznec, INRIA, France
Cristina Silvano, Polytechnic University of Milan, Italy
Mircea Stan, University of Virginia, USA
Sreenivas Subramoney, Intel, USA
Zehra Sura, IBM, USA
Karthik Swaminathan, IBM, USA
Xiaorui Wang, The Ohio State University, USA
Daniel Wong, University of California, Riverside, USA
Jiang Xu, Hong Kong University of Science and Technology, Hong Kong
Youtao Zhang, University of Pittsburgh, USA
Jishen Zhao, University of California, San Diego, USA

MULTIDISCIPLINARY:
Primary

Franck Cappello, Argonne National Laboratory, University of Illinois, USA
Almadena Chtchelkanova, National Science Foundation, USA
Aleksandra Faust, Google Brain, USA
Sudarsun Kannan, Rutgers University, USA
Keiji Kimura, Waseda University, Japan
Deepankar Medhi, National Science Foundation, USA
Anne-Cecile Orgerie, French National Center for Scientific Research (CNRS), France
Cynthia Phillips, Sandia National Laboratories, USA
Guillaume Pierre, Universit? de Rennes 1, France
Judy Qiu, Indiana University, USA
Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
Hari Sundar, University of Utah, USA

Regular
Ashiq Anjum, University of Derby, UK
Costas Bekas, IBM Research-Zurich, Switzerland
Ali R. Butt, Virginia Tech, USA
Franck Cappello, Argonne National Laboratory, University of Illinois, USA
Matteo Ceccarello, University of Padova, Italy
Abhishek Chandra, University of Minnesota, USA
Sunita Chandrasekaran, University of Delaware, USA
Lydia Y. Chen, Delft University of Technology (TU Delft), Netherlands
Long Cheng, University College Dublin, Ireland
Olivia Choudhury, IBM, USA
Almadena Chtchelkanova, National Science Foundation, USA
Aleksandra Faust, Google Brain, USA
Karl F?rlinger, Ludwig-Maximilians-University (LMU) Munich, Germany
Alexandru Iosup, Vrije University Amsterdam, Delft University of Technology, Netherlands
Sam Ade Jacobs, Lawrence Livermore National Laboratory, USA
Sudarsun Kannan, Rutgers University, USA
Keiji Kimura, Waseda University, Japan
Deepankar Medhi, National Science Foundation, USA
Lawrence Mitchell, Durham University, United Kingdom
Anne-Cecile Orgerie, French National Center for Scientific Research (CNRS), France
Salvatore Orlando, Ca' Foscari University of Venice, Italy
Ioan Petri, Cardiff University, Wales
Cynthia Phillips, Sandia National Laboratories, USA
Guillaume Pierre, Universit? de Rennes 1, France
Judy Qiu, Indiana University, USA
Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
Rajesh Sankaran, Argonne National Laboratory, USA
Christian Scheideler, Paderborn University, Germany
Olaf Schenk, University of Lugano, Switzerland
Hari Sundar, University of Utah, USA
Wei Tan, Citadel, USA
George Teodoro, Universidade de Bras?lia, Brazil

(*Requests for corrections or changes should be sent to contact@ipdps.org)

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IPDPS 2019 Report



33rd IEEE International Parallel & Distributed Processing Symposium

May 20-24, 2019
Hilton Copacabana
Rio de Janeiro, Brazil

REPORT ON IPDPS 2019