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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.

2017 Graph Challenge Champions Announced!

Keynote Speakers

• Dr. Ivan Sutherland (ACM Turing Award; IEEE John von Neumann Medal; NAE Fellow; NAS Fellow; ACM Fellow) - Clockless Computing
• Mr. Andreas Olofsson (Program Manager - DARPA MTO) - Intelligent Design Automation, System Optimization, and Open Hardware

Invited Speakers

• Mr. Trung Tran (Program Manager - DARPA MTO) - Machine Learning, Data Analytics, and Non-Conventional Computer Architecture
• Prof. Barry Shoop (2016 IEEE President; Electrical Engineering Chair - United States Military Academy) - Innovation as an Ecosystem
• Prof. Saman Amarasinghe (MIT Computer Science & AI Laboratory) - Making Sparse Fast
• Prof. David Bader (IEEE Fellow; AAAS Fellow; Georgia Tech - Chair School of Computational Science and Engineering) - Massive-Scale Streaming Analytics
• Dr. Tim Braje (MIT Lincoln Laboratory Secure, Resilient Systems & Technology) - Quantum Algorithms for Linear Algebra
• Dr. Shekhar Borkar (IEEE Fellow; Qualcomm) - 
• Prof. Tim Davis (IEEE Fellow; SIAM Fellow; ACM Fellow; Texas A&M - Computer Science and Engineering) - SuiteSparse GraphBLAS
• Dr. John Feo (Director - Northwest Institute for Advanced Computing) - HAGGLE – Hybrid Attributed Generic Graph Library Environment
• Dr. Josh Fryman (Intel - Senior Principal Engineer & Engineering Manager) - Sparse and Random vs HPC Architecture
• Mr. John Goodhue (Executive Director - Massachusetts Green High Performance Computing Center)
• Dr. Jeremy Kepner (MIT Lincoln Laboratory Fellow; Founder MIT Lincoln Laboratory Supercomputing Center) - Convergence of Machine Learning, Big Data, and Supercomputing
• Dr. Mark Ritter (Distinguished Research Staff - IBM Physical Sciences) - Heuristic Quantum Variational Algorithms on a Small Quantum Computer
• Dr. Michael Vai (MIT Lincoln Laboratory Secure, Resilient Systems & Technology) - Bridging System Functionality and Cybersecurity
• Dr. Masako Yamada (Manager - GE Global Research) - Real, Industrial Use-Cases for HPEC

Special Events

• DARPA/Amazon/IEEE Graph Challenge
• GraphBLAS forum to define standard building blocks for graph algorithms; organizers: Dr. Aydın Buluç (Lawrence Berkeley National Laboratory); Dr. Scott McMillan (CMU Software Engineering Institute); Dr. Marcin Zalewski (Pacific Northwest National Laboratory)
• Integrating Quantum Computing with High Performance Classical Computing; organizers: Dr. Tim Braje (MIT Lincoln Laboratory) & Dr. John Cortese (MIT Lincoln Laboratory)
• OpenSuperComputing BoF; organizer: Mr. Kurt Keville (MIT ISN)

Tutorials

• BigDAWG Big Data Working Group Tutorial; organizers: Dr. Vijay Gadepally (MIT Lincoln Laboratory Supercomputing Center), Kyle O'Brien (MIT Lincoln Laboratory Intelligence and Decision Technologies)
• Image Classification & Object Detection using Deep Learning with MATLAB; Jianghao Wang (Data Scientist - Mathworks)
• Introduction to CUDA and Machine Learning; Dr. Larry Brown (Solutions Architect - NVidia)
• OpenMP programming; Dr. Tim Mattson (Principal Engineer - Intel)
• Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs; organizer: Dr. Jeremy Kepner (MIT Lincoln Laboratory Supercomputing Center)

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

• High Performance Data Analysis
• Machine Learning
• Advanced Multi-core Software Technologies
• Case Studies and Benchmarking of Applications
• Automated Design Tools
• Mapping and Scheduling of Parallel and Real-Time Applications
• Computing Technologies for Challenging Form Factors
• ASIC and FPGA Advances
• Open System Architectures
• Data Intensive Computing
• Big Data and Distributed Computing
• Interactive and Real-Time Supercomputing
• Graph Analytics and Network Science
• Fault-Tolerant Computing
• Embedded Cloud Computing
• Digital Front Ends
• General Purpose GPU Computing
• Advanced Processor Architectures
• Secure Computing and Anti-Tamper Technologies
• New Applications Frontiers