2021 IEEE High Performance Extreme Computing Conference HPEC

活动简介

HPEC is the largest computing conference in New England and is the premier conference in the world on the convergence of High Performance and Embedded Computing. We are passionate about performance. Our community is interested in computing hardware, software, systems and applications where performance matters. We welcome experts and people who are new to the field.

Sponsor Type:3

组委会

Chairman & SIAM Liaison

Dr. Jeremy Kepner
Fellow, MIT Lincoln Laboratory

Senior Advisory Board Chair

Robert Bond
CTO, MIT Lincoln Laboratory

Technical Chair

Dr. Albert Reuther
MIT Lincoln Laboratory

Senior Advisory Board

Prof. Anant Agarwal
MIT CSAIL

Prof. Nadya Bliss
Arizona State University

Dr. Richard Games
Chief Engineer, MITRE Intelligence Center

John Goodhue
Director, MGHPCC

Dr. Bernadette Johnson
Chief Technology Ventures Officer
MIT Lincoln Laboratory

Dr. Richard Linderman
ASDR&E

David Martinez
Associate Division Head
MIT Lincoln Laboratory

Dr. John Reynders
Vice President
Alexion Pharmaceuticals

Dr. Michael Stonebraker
Co-founder SciDB and Vertica; CTO VoltDB and Paradigm4

Publicity Chair

Dan Campbell
MIT

CFP Co-Chairs

Dr. Patrick Dreher
MIT

Dr. Franz Franchetti
CMU

Publications Chair

Prof. Miriam Leeser
Northeastern University

Administrative Contact

Robert Alongi
IEEE Boston Section

征稿信息

重要日期

2021-07-09

初稿截稿日期

2021-08-13

初稿录用日期

征稿范围

The technical committee seeks new presentations that clearly describe advances in high performance extreme computing technologies, emphasizing one or more of the following topics:

•AI/Machine Learning
•Graph Analytics and Network Science
•Advanced Multicore Software Technologies
•Advanced Processor Architectures
•Automated Design Tools
•Big Data and Distributed Computing
•Big Data Meets Big Compute
•Case Studies and Benchmarking of Applications
•Cloud HPEC
•Computing Technologies for Challenging Form Factors
•ASIC and FPGA Advances
•Data Intensive Computing
•Quantum and Non-Deterministic Computing
•Data Intensive Computing
•Digital Front Ends
•Fault-Tolerant Computing
•Embedded Cloud Computing
•General Purpose GPU Computing
•High Performance Data Analysis
•Interactive and Real-Time Supercomputing
•Mapping and Scheduling of Parallel and Real-Time Applications
•New Application Frontiers
•Open System Architectures
•Cyber Analysis and Secure Computing