DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges
- University of Southern California, Information Sciences Institute
- Sandia National Laboratories
- Columbia University
- Intel
- Institute for Defense Analyses
- University of California, San Diego
- IBM
- DARPA
- NVIDIA
- University of Tennessee
- Oak Ridge National Laboratory
- Lawrence Livermore National Laboratory
- Pacific Northwest National Laboratory
- University of Notre Dame
- Reservoir Labs
- Rice University
- Hewlett Packard
- Lawrence Berkeley National Laboratory
- Indiana University
- Argonne National Laboratory
- Science and Technology Associates
- Los Alamos National Laboratory
Exascale computing systems are essential for the scientific fields that will transform the 21st century global economy, including energy, biotechnology, nanotechnology, and materials science. Progress in these fields is predicated on the ability to perform advanced scientific and engineering simulations, and analyze the deluge of data. On July 29, 2013, ASCAC was charged by Patricia Dehmer, the Acting Director of the Office of Science, to assemble a subcommittee to provide advice on exascale computing. This subcommittee was directed to return a list of no more than ten technical approaches (hardware and software) that will enable the development of a system that achieves the Department's goals for exascale computing. Numerous reports over the past few years have documented the technical challenges and the non¬-viability of simply scaling existing computer designs to reach exascale. The technical challenges revolve around energy consumption, memory performance, resilience, extreme concurrency, and big data. Drawing from these reports and more recent experience, this ASCAC subcommittee has identified the top ten computing technology advancements that are critical to making a capable, economically viable, exascale system.
- Research Organization:
- USDOE Office of Science (SC) (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI ID:
- 1222713
- Country of Publication:
- United States
- Language:
- English
Similar Records
Synergistic Challenges in Data-Intensive Science and Exascale Computing. Summary report of the Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee, March 2013
Future High Performance Computing Capabilities: Summary Report of the Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee
Related Subjects
97 MATHEMATICS AND COMPUTING
Advanced Scientific Computing Advisory Committee; ASCAC; Exascale; Technical Challenges; 21st Century; Scientific and Engineering Simulations; High Performance Computing
HPC
Computer Science
Applied Mathematics
Computational Science
Big Data