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