General IPDPS Info

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IN COOPERATION WITH

ACM

ACM SIGARCH  SIGHPC

and

IEEE Computer Society Technical Committees on Computer Architecture & Distributed Processing

IPDPS 2021 Call for Papers

IPDPS 2020

35th IEEE International Parallel & 
Distributed Processing Symposium

May 17-21, 2021
TO BE HELD VIRTUALLY

PLEASE NOTE:

  • Authors must register their paper and submit an abstract by October 5, 2020 October 12, 2020.
  • Authors must then submit full versions of registered papers by October 12, 2020 October 19, 2020.
  • All deadlines are end of day ANYWHERE ON EARTH.
  • Before submitting, review the information under WHAT/WHERE TO SUBMIT below.
  • SUBMIT YOUR PAPER /arrow.png

 

Authors are invited to submit manuscripts that present original unpublished research in all areas of parallel and distributed processing. 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:

  • Algorithms: Parallel and distributed computing theory and algorithmsDesign 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: Experiments and practice in parallel and distributed computingDesign 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; methods for and experiences allocating and managing system and facility resources.
  • Programming Models & Compilers: Programming models, compilers and runtimes for parallel and distributed applications and systemsParallel 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: System software and middleware for parallel and distributed systems. 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 and warehouse-scale 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, 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. 

Special Note due to Pandemic.  IPDPS 2021 is being planned for Portland, Oregon May 17-21. Some form of remote paper presentation and attendance will be allowed to accommodate various constraints and restrictions caused directly (i.e., travel bans or health concerns) or indirectly (i.e., financial constraints) by the pandemic.  A fully virtual conference is being planned at the same time,  since we cannot know what local or state constraints might be in effect in May.

BEST PAPER AWARD

The program committee will select the top papers as finalists, and one paper as the winner, for recognition with the Best Paper Award.


WHAT/WHERE TO SUBMIT

Abstracts of at most 500 words must be submitted by October 5, 2020 October 12, 2020. Manuscripts must be submitted by October 12, 2020 October 19, 2020; 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. Instructions for submission will be posted in September.

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 2021 Submission Site (powered by Linklings). Click here to submit abstract and register your paper by October 5th.


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 final decisions are made.

Questions may be sent to pc2021@ipdps.org.. Abstracts are due October 12, 2020, and full manuscripts must be received by October 19, 2020. This is a final, hard deadline. To ensure fairness, no extensions will be given.

Preliminary decisions will be sent by December 8, 2020, 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, 2021.  Notification of final decisions will be mailed by January 19, 2021 and camera-ready papers will be due February 13, 2021


2021 IMPORTANT DATES

  • Abstracts due October 5, 2020 extended to October 12, 2020
  • Submissions due October 12, 2020 extended to October 19, 2020
  • Preliminary decisions December 8, 2020
  • Final submissions due January 11, 2021
  • Final notification January 19, 2021


2021 PROGRAM CHAIR

Karen L. Karavanic (Portland State University, USA)


(Updated 25 October 2020*)

2021 PROGRAM AREA CHAIRS AND VICE CHAIRS
Algorithms: 
Richard Vuduc (Georgia Tech, USA)
Maryam Mehri Dehnavi (University of Toronto, Canada)

Architecture:
Shuaiwen Leon Song (University of Sydney, Australia)
Michael Taylor (University of Washington, USA)

Experiments:
Shirley Moore (University of Texas El Paso, USA)
Allen D. Malony (University of Oregon, USA)

System Software:
Dorian Arnold (Emory University, USA)
Heike Jagode (University of Tennessee Knoxville, USA)

Programming Models & Compilers:
Martin Schulz (Technical University of Munich, Germany)
EJ Park (Los Alamos National Laboratory, USA)

Multidisciplinary:
Michela Taufer (University of Tennessee Knoxville, USA)
Florina M. Ciorba (University of Basel, Switzerland)

2021 TECHNICAL PROGRAM COMMITTEE
ALGORITHMS:
Seher Acer, Sandia National Laboratories, USA
Mark Adams, Lawrence Berkeley National Laboratory, USA
Hartwig Anzt, Karlsruhe Institute of Technology, University of Tennessee,
Ariful Azad, Indiana University, USA
Grey Ballard, Wake Forest University, USA
Ioana Banicescu, Mississippi State University, USA
Anne Benoit, ENS Lyon, France
George Biros, University of Texas, Oden Institute, USA
Aydin Buluc, Lawrence Berkeley National Laboratory; University of California, Berkeley, USA
Erin Carson, Charles University in Prague, Czech Republic
Henri Casanova, University of Hawaii at Manoa, USA
Vipin Chaudhary, University at Buffalo, USA
Jee Choi, University of Oregon, USA
Rezaul Chowdhury, Stony Brook University, USA
Olivier Coulaud, INRIA, France
Dong Dai, University of North Carolina, Charlotte, USA
Karen Devine, Sandia National Laboratories, USA
Franz Franchetti, Carnegie Mellon University, USA
Ana Gainaru, Vanderbilt University, USA
Amir Gholami, University of California, Berkeley, USA
Pieter Ghysels, Lawrence Berkeley National Laboratory, USA
Oded Green, NVIDIA, USA
Laura Grigori, French Institute for Research in Computer Science and Automation, Sorbonne Université, France
Murat Efe Guney, Nvidia Corporation, USA
Shadi Ibrahim, French Institute for Research in Computer Science and Automation (INRIA), France
Emmanuel Jeannot, French Institute for Research in Computer Science and Automation (INRIA), France
Oguz Kaya, Université Paris-Saclay, Laboratoire de Recherche en Informatique (LRI), France
Amal Khabou, Univ. Paris Sud, France
Samee Khan, Mississippi State University, USA
Mariam Kiran, Lawrence Berkeley National Laboratory, USA
Penporn Koanantakool, Google LLC, Lawrence Berkeley National Laboratory, USA
Jiajia Li, Pacific Northwest National Laboratory, USA
Weifeng Liu, China University of Petroleum, Beijing, China
Hatem Ltaief, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
Saeed Maleki, Microsoft Corporation
Kengo Nakajima, University of Tokyo, RIKEN, Japan
Thomas Parnell, IBM Research
Krzysztof Rzadca, Google LLC, University of Warsaw, Poland
Piyush Sao, Oak Ridge National Laboratory, Georgia Institute of Technology, USA
Olaf Schenk, University of Lugano, Switzerland
Oded Schwartz, Hebrew University of Jerusalem, Israel
Julian Shun, Massachusetts Institute of Technology, USA
Shaden Smith, Microsoft Corporation
Edgar Solomonik, University of Illinois, USA
Hari Sundar, University of Utah, USA
Brian C. Van Essen, Lawrence Livermore National Laboratory, USA
Abhinav Vishnu, Advanced Micro Devices (AMD) Inc., USA
Frédéric Vivien, French Institute for Research in Computer Science and Automation (INRIA), France
Rio Yokota, Tokyo Institute of Technology & AIST, Japan
Yang You, National University of Singapore, Singapore

EXPERIMENTS:
Omar Aaziz, Sandia National Laboratories, USA
Ahmad Afsahi, Queen's University, Canada, Canada
Kevin J. Barker, Pacific Northwest National Laboratory (PNNL), USA
Kyle Chard, University of Chicago, Argonne National Laboratory (ANL), USA
Zizhong Chen, University of California, Riverside; UC Riverside, USA
Camille Coti, Universite Sorbonne Paris Nord, France
Cesar A. F. De Rose, PUCRS, Brazil
Alexandre Denis, French Institute for Research in Computer Science and Automation (INRIA),
Hal Finkel, Argonne National Laboratory (ANL), LLVM Foundation, USA
Basilio B. Fraguela, Universidade Da Coruña, Spain
Todd Gamblin, Lawrence Livermore National Laboratory, USA
Marta Garcia, Argonne National Laboratory (ANL), USA
Rong Ge, Clemson University, USA
Jeff R. Hammond, Intel Corporation, USA
Toshihiro Hanawa, The University of Tokyo, Japan
Khaled Ibrahim, Lawrence Berkeley National Laboratory, USA
Nusrat Islam, Intel Corporation, USA
Seyong Lee, Oak Ridge National Laboratory, USA
John Linford, ARM Ltd, USA
Xu Liu, North Carolina State University, USA
Jeremy Logan, Oak Ridge National Laboratory, USA
Tze Meng Low, Carnegie Mellon University, USA
Narasinga Miniskar, Oak Ridge National Laboratory, USA
José Moreira, IBM Corporation, USA
Frank Mueller, North Carolina State University, USA
Abdullah Muzahid, Texas A&M University, USA
Anne-Cecile Orgerie, French National Center for Scientific Research (CNRS), France
Sreepathi Pai, University of Rochester, USA
Prashant Pandey, Lawrence Berkeley National Laboratory, UC Berkeley, USA
Ivy B. Peng, Lawrence Livermore National Laboratory, USA
David Zoeller Poliakoff, Sandia National Laboratories, USA
Philip C. Roth, Oak Ridge National Laboratory (ORNL), USA
Christian Schulz, Heidelberg University, Germany
Oguz Selvitopi, Lawrence Berkeley National Laboratory, USA
Sameer Shende, University of Oregon, USA
Raül Sirvent, Barcelona Supercomputing Center, Spain
Deepak Tosh, University of Texas at El Paso, USA
Mariam Umar, Intel Corporation
Vincent Weaver, University of Maine, USA
Bo Wu, Colorado School of Mines, USA
Jeff Young, Georgia Tech, USA
Weikuan Yu, Florida State University, USA
Albert-Jan Yzelman, Huawei Technologies France, France
Xiaobo Zhou, University of Colorado, Colorado Springs, USA
Christopher Zimmer, Oak Ridge National Laboratory, USA

PROGRAMMING MODELS & COMPILERS:
Eishi Arima, University of Tokyo, Technical University Munich, Japan
Kei Davis, Los Alamos National Laboratory, USA
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Johannes Doerfert, Argonne National Laboratory (ANL), USA
Maria Garzaran, Intel Corporation, USA
Gurbinder Gill, Katana Graph, USA
Marc-André Hermanns, RWTH Aachen University, Germany
Sven Karlsson, Technical University of Denmark, Denmark
Martin Kong, University of Oklahoma, USA
Jenq-Kuen Lee, National Tsing Hua University, Taiwan
Jaejin Lee, Seoul National University, South Korea
Joseph Manzano, Pacific Northwest National Laboratory (PNNL), USA
Alexandru Nicolau, University of California Irvine, USA
Dimitrios Nikolopoulos, Virginia Tech, USA
Olga Pearce, Lawrence Livermore National Laboratory, USA
Miquel Pericas, Chalmers University of Technology, Sweden, Sweden
Keshav Pingali, University of Texas, USA
Louis-Noel Pouchet, Colorado State University, USA
Amit Sabne, Google, USA
Ponnuswamy Sadayappan, University of Utah, Pacific Northwest National Laboratory (PNNL), USA
Putt Sakdhnagool, NECTEC
Mitsuhisa Sato, RIKEN Center for Computational Science (R-CCS), Japan
Anthony Skjellum, University of Tennessee, Chattanooga; SimCenter, USA
Dario Suarez-Gracia, University of Zaragoza, Spain
Joshua Suetterlein, Pacific Northwest National Laboratory (PNNL), USA
Zheng Wang, University of Leeds, United Kingdom
Jingling Xue, University of New South Wales, Australia
Yonghong Yan, University of North Carolina, Charlotte, USA
Zheng Zhang, Rutgers University, USA
Minjia Zhang, Microsoft, USA

SYSTEM SOFTWARE:
Gagan Agrawal, Augusta University, USA
Emmanuel Agullo, French Institute for Research in Computer Science and Automation (INRIA), France
Hartwig Anzt, Karlsruhe Institute of Technology, University of Tennessee, USA
Eishi Arima, University of Tokyo, Technical University Munich, Japan
Natalie N Beams, University of Tennessee, Innovative Computing Laboratory, USA
Abhinav Bhatele, University of Maryland, Lawrence Livermore National Laboratory, USA
David Boehme, Lawrence Livermore National Laboratory, USA
George Bosilca, University of Tennessee, USA
Patrick Bridges, University of New Mexico, USA
Ron Brightwell, Sandia National Laboratories, USA
Michael Brim, Oak Ridge National Laboratory (ORNL), USA
Jon Calhoun, Clemson University; Clemson University, Dept of Electrical and Computer Engineering, USA
Kirk Cameron, Virginia Tech, USA
Franck Cappello, Argonne National Laboratory (ANL), University of Illinois, USA
Yong Chen, Texas Tech University, USA
Terry Cojean, Karlsruhe Institute of Technology, Germany
Jeanine Cook, Sandia National Laboratories, USA
Bruce D'Amora, IBM Research, USA
Anthony Danalis, University of Tennessee, USA
Roshan Dathathri, Katana Graph, USA
Robert Dietrich, NVIDIA, USA
Peter Dinda, Northwestern University, USA
T. Chad Effler, Oak Ridge National Laboratory, USA
Wael R. Elwasif, ORNL, USA
Wu Feng, Virginia Tech, USA
Kurt B. Ferreira, Sandia National Laboratories, USA
Rosa Filgueira, University of Edinburgh, United Kingdom
Karl Fuerlinger, Ludwig Maximilian University of Munich, Germany
Balazs Gerofi, RIKEN, Japan
Judit Gimenez, Barcelona Supercomputing Center (BSC), Spain
Taylor Groves, Lawrence Berkeley National Laboratory, USA
Thomas Gruber, Friedrich-Alexander-University of Erlangen-Nürnberg, Germany
Samuel K. Gutierrez, Los Alamos National Laboratory, USA
Bilel Hadri, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
Kyle Hale, Illinois Institute of Technology, USA
Kevin Huck, University of Oregon, USA
Axel Huebl, Lawrence Berkeley National Laboratory, USA
Sascha Hunold, Technical University Wien, USA
Kamil Iskra, Argonne National Laboratory (ANL), USA
Tanzima Islam, Texas Tech University, USA
Sarah Knepper, Intel Corporation, USA
Michael Knobloch, Forschungszentrum Juelich, Germany
Eileen Kuehn, Karlsruhe Institute of Technology (KIT), Germany
Ignacio Laguna, Lawrence Livermore National Laboratory, USA
Michael O. Lam, James Madison University, USA
Michael Lang, Los Alamos National Laboratory, USA
John Lange, University of Pittsburgh, USA
Dong Li, University of California, Merced, USA
Piotr Luszczek, University of Tennessee, USA
Sally A. McKee, Clemson University, USA
Ningfang Mi, Northeastern University, USA
Reed M Milewicz, Sandia National Laboratories, USA
Bernd Mohr, Juelich Supercomputing Centre, Germany
Akihiro Nomura, Tokyo Institute of Technology, Japan
Sarah Osborn, Lawrence Livermore National Laboratory, USA
Guillaume Pallez, French Institute for Research in Computer Science and Automation (INRIA), University of Bordeaux, France
Swaroop Pophale, Oak Ridge National Laboratory, USA
Heidi Poxon, Hewlett Packard Enterprise, Cray Inc., USA
Ioan Raicu, Illinois Institute of Technology, Argonne National Laboratory (ANL), USA
Rolf Riesen, Intel Corporation, USA
Bettina Schnor, University of Potsdam, Germany
Seetharami Seelam, IBM Research, USA
John Shalf, Lawrence Berkeley National Laboratory, USA
Nathan Tallent, Pacific Northwest National Laboratory (PNNL), USA
Douglas Thain, University of Notre Dame, USA
Peter Thoman, University of Innsbruck, Austria
Sathish Vadhiyar, IISC Banagalore, IISC, India
Ana Lucia Varbanescu, University of Amsterdam, Netherlands
Patrick Widener, Sandia National Laboratories, USA
Frank Winkler, TU Dresden, Germany
Matthew Wolf, Oak Ridge National Laboratory (ORNL), USA
Peinan Zhang, Intel Corporation, USA

ARCHITECTURE:
Nael Abu-Ghazaleh, University of California Riverside, USA
Amro Awad, NCSU, USA
Mehmet E Belviranli, Colorado School of Mines, USA
Stephen M. Blackburn, Australian National University, Australia
Mahdi Bojnordi, University of Utah, USA
David Boland, USA
Marc Casas Guix, Barcelona Supercomputing Center, Polytechnic University of Catalonia, Spain
Juan Cebrian, University of Murcia, Spain
Yiran Chen, Duke University, USA
Xiuzhen Cheng, George Washington University, USA
Yufei Ding, University of California, Santa Barbara, USA
Lide Duan, Alibaba DAMO Academy, University of Texas at San Antonio, USA
Christophe Dubach, McGill University, Canada
Murali Emani, Argonne National Laboratory (ANL), USA
Zhenman Fang, Simon Fraser University, Canada
Holger Froening, Heidelberg University, Germany
Xin Fu, University of Houston, USA
Tong Geng, Boston University, USA
Xiaochen Guo, Lehigh University, USA
Siva Kumar Sastry Hari, NVIDIA, USA
Martin C. Herbordt, Boston University, USA
Yang Hu, The George Washington University, USA
Omer Khan, University of Connecticut, USA
Michel A. Kinsy, Texas A&M University, USA
Jagadish Kotra, AMD Research, USA
Jingwen Leng, Shanghai Jiao Tong University, Shanghai Qi Zhi Institute, China
Shigang Li, Department of Computer Science, ETHz, Switzerland
Ang Li, Pacific Northwest National Laboratory (PNNL), USA
Xu Liu, North Carolina State University, USA
Hang Liu, Stevens Institute of Technology, USA
Gokhan Memik, Northwestern University, USA
George Michelogiannakis, Lawrence Berkeley National Laboratory, Stanford University, USA
Abdullah Muzahid, Texas A&M University, USA
Karthik Pattabiraman, University of British Columbia, Canada
Fabrizio Petrini, Intel Corporation, USA
Ann Ramirez (Gordon-Ross), University of Florida, USA
Bin Ren, College of William & Mary, USA
Catherine Schuman, University of Tennessee, USA
En Shao, Institute of Computing Technology, Chinese Academy of Sciences, China
Jaewoong Sim, Seoul National University, South Korea
Shuang Song, Facebook, USA
Mircea Stan, University of Virginia, USA
Guangyu Sun, Peking University, China
Dingwen Tao, Washington State University, University of Alabama, USA
Antonino Tumeo, Pacific Northwest National Laboratory (PNNL), USA
Hans Vandierendonck, Queen's University Belfast, Northern Ireland
Ashish Venkat, University of Virginia, USA
Guru Venkataramani, George Washington University, USA
Rujia Wang, Illinois Institute of Technology, USA
Daniel Wong, University of California, Riverside, USA
Chenhao Xie, PNNL, USA
Yang You, National University of Singapore,
Bo Yuan, Rutgers University, USA
Jidong Zhai, Tsinghua University, China
Xingyao Zhang, University of Washington, USA
Jeff (Jun) Zhang, Harvard University, USA

MULTIDISCIPLINARY:
Ritu Arora, University of Texas, San Antonio, USA
Sanjukta Bhowmick, University of North Texas, USA
Stephanie Brink, Lawrence Livermore National Laboratory, USA
Ali R. Butt, Virginia Tech, USA
Alexandra Carpen-Amarie, Fraunhofer ITWM, Germany
Giuliano Casale, Imperial College London, England
Sunita Chandrasekaran, University of Delaware, USA
Florina M. Ciorba, University of Basel, Switzerland, Switzerland
Dilma Da Silva, Texas A&M University, USA
Rafael Ferreira da Silva, University of Southern California, USA
Lin Gan, Tsinghua University, China; National Supercomputing Center, Wuxi, China
Ann Gentile, Sandia National Laboratories, USA
Sandra Gesing, University of Notre Dame, USA
Kartik Gopalan, State University of New York at Binghamton, USA
Georgios Goumas, National Technical University of Athens, Greece
Brandic Ivona, Vienna University of Technology, Austria
Bahman Javadi, Western Sydney University, Australia
Travis Johnston, Oak Ridge National Laboratory (ORNL), USA
James Lin, Shanghai Jiao Tong University, China
Jay Lofstead, Sandia National Laboratories, USA
Diana Moise, Hewlett Packard Enterprise, Switzerland
Bogdan Nicolae, Argonne National Laboratory (ANL), USA
Antonio J. Peña, Barcelona Supercomputing Center (BSC), Spain
Kento Sato, RIKEN, Japan
Sudip Seal, Oak Ridge National Laboratory, USA
Seetharami Seelam, IBM Research, USA
Haiying Shen, University of Virginia, USA
Min Si, Argonne National Laboratory (ANL), USA
Wei Tan, Citadel, The Military College of South Carolina, USA
Michela Taufer, University of Tennessee, University of Delaware, USA
Devesh Tiwari, Northeastern University, USA
Flavio Vella, Free University of Bozen, Italy

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

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IPDPS 2020 Report



34th IEEE International Parallel & Distributed Processing Symposium

May 18-22, 2020
New Orleans, Louisiana USA

(Held virtually during the week of the conference)

REPORT ON IPDPS 2020