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.

Confirmed Distinguished Speakers

• Ms. Barbara Helland (Associate Director - DOE Advanced Scientific Computing Research) - Exascale Computing
• Dr. Lisa Amini (IBM Director of IBM Research Cambridge) - Research Directions in AI Algorithms and Systems
• Dr. Richard Linderman (Deputy Director - DoD ASDR&E Information Systems and Cyber Technologies) - Advanced Computing & Cyber Systems
• Mr. Andreas Olofsson (Program Manager - DARPA MTO) - Intelligent Design Automation, System Optimization, and Open Hardware
• Prof. Alan Edelman (MIT Math) - Julia: The New Language of AI
• Dr. Chris Hill (MIT EAPS) - Leadership Computing for Converged High Performance Computing, Data Analysis, and Machine Learning
• Dr. Bernadette Johnson (Chief Venture Technologist - MIT Lincoln Laboratory) - Accelerating Commercial Innovation
• Dr. Jamil Kawa (Fellow - Synopsys) - Tools for the Intersection of Classical and Quantum Computing
• Mr. Roi Lipman (Redis Labs) - Redis Graph & GraphBLAS
• Prof. Vivienne Sze (MIT RLE) - Energy-Efficient Deep Neural Networks
• Dr. Scott Yockel (Director - Harvard Research Computing) - Big Data and HPC Workflows

Special Events

• MIT/Amazon/IEEE Graph Challenge
• GraphBLAS forum to define standard building blocks for graph algorithms; organizers: Dr. Timothy Mattson  (Intel); 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

• Computational Machine Learning 101; organizer: Prof. Raj Rao (University of Michigan)
• Building graph algorithms with the GraphBLAS; organizers: Dr. Timothy Mattson (Intel); Dr. Scott McMillan (CMU SEI); Dr. Aydin Buluc (LBNL); Dr. José Moreira (IBM); Mr. Carl Yang (UC Davis)
• Mathematics of Big Data & Machine Learning; organizer: Dr. Jeremy Kepner (MIT Lincoln Laboratory Supercomputing Center)
• Introduction to Quantum Computing

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

Machine Learning Graph Analytics & Network Science Advanced Multicore Software Technologies Advanced Processor Architectures Automated Design Tools Big Data & Distributed Computing Big Data Meets Big Compute Case Studies & Benchmarkingf of Applications Cloud HPEC Computing Technologies for Challenging Form Factors ASIC & FPGA Advances

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 & Scheduling of Parallel & Real-Time Applications New Application Frontiers Open System Architectures Secure Computing & Anti-Tamper Technologies