Extreme Scale Computing Studies

Abstract

This document is the draft Final Technical Report for Georgia Institute of Technology (Georgia Tech, GT) Project 210667V, "Exascale Computing Study" (ECS). Four studies were conducted to determine the technical developments needed for a 1,000x increase in computational capability by 2015. 1. The Exascale Computing Study, addressing hardware and system architecture issues; 2. The Exascale Computing Software Study, addressing software technologies to effectively utilize extreme levels of concurrency; 3. The Exascale Computing Resiliency Study, addressing practical fault management in extreme scale systems; and 4. The Embedded Extreme-scale System Study, addressing elements of extreme scale applications and benchmarks, low-power algorithms, design simulation methods, programmability metrics, and enabling tools for graphics processing unit use. The studies identified critical technology challenges in power and energy; concurrency; resiliency; and memory and storage. Investments were recommended in locality and parallelism expression and optimization; power management; self-awareness techniques; execution models; extreme scale benchmarks, programmability metrics, low power algorithms, and libraries for graphics processing units.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2010
Accession Number
ADA547581

Entities

People

  • Daniel P. Campbell
  • Mark A. Richards

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Program Reliability
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Mining
  • Databases
  • Engineers
  • Information Processing
  • Information Science
  • Information Systems
  • Instruction Set Architecture
  • Network Protocols
  • Network Science

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Technical Research and Report Writing.