Integration, Development and Performance of the 500 TFLOPS Heterogeneous Cluster (Condor)

Abstract

The Air Force Research Laboratory Information Directorate Advanced Computing Division (AFRL/RIT) High Performance Computing Affiliated Resource Center (HPC-ARC) is the host to a very large scale interactive computing cluster consisting of about 1800 nodes. Condor, the largest interactive Cell cluster in the world, consists of integrated heterogeneous processors of IBM Cell Broadband Engine (Cell BE) multicore CPUs, NVIDIA General Purpose Graphic Processing Units (GPGPUs) and Intel x86 server nodes in a 10Gb Ethernet Star Hub network and 20Gb/s Infiniband Mesh, with a combined capability of 500 trillion floating operations per second (TFLOPS). Applications developed and running on CONDOR include large-scale computational intelligence models, video synthetic aperture radar (SAR) back-projection, Space Situational Awareness (SSA), video target tracking, linear algebra and others. This presentation will discuss the design and integration of the system. It will also show progress on performance optimization efforts and lessons learned on algorithm scalability on a heterogeneous architecture.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2012
Accession Number
ADA588429

Entities

People

  • Mark Barnell
  • Qing Wu
  • Richard Linderman

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computers
  • Department Of Defense
  • Detectors
  • Floating Point Operations
  • Governments
  • High Performance Computing
  • Image Processing
  • Information Processing
  • Military Research
  • Optimization
  • Software Design
  • Square Roots
  • Synthetic Aperture Radar
  • United States

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Parallel and Distributed Computing.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects