Tera-Op Reliable Intelligently Adaptive Processing System (TRIPS)

Abstract

The TRIPS project proposes and evaluates technology for scalable and adaptive computer systems. The TRIPS processor and on-chip memory architectures are designed to handle both the increasing wire delays and power constraints of near-future integrated circuit fabrication technology. Combined with the new TRIPS compiler, the results of detailed architectural models show that the TRIPS system can achieve performance improvements by up to an order of magnitude over that of conventional architectures (at comparable clock rates) on applications ranging from signal processing to threaded server workloads. TRIPS innovations also include low-power circuits, such as latches and digital phase-locked loops, that will be required for future high-performance polymorphous chips such as TRIPS. Static power analysis tools were also developed to better estimate and balance power consumption in multiple modes of operation. The results of the proof-of-concept phase of TRIPS have shown substantial scientific promise, justifying

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA426160

Entities

People

  • Calvin Lin
  • Doug Berger
  • Kathryn Mckinley
  • Kevin Nowka
  • Lizy John
  • Michael Dahlin
  • Stephen W. Keckler
  • Tom Keller

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Circuits
  • Computer Programming
  • Computer Science
  • Computers
  • Energy Consumption
  • Floating Point Operations
  • Ground Moving Target Indicators
  • Instruction Set Architecture
  • Intellectual Property
  • Logic Gates
  • Models
  • Networks
  • Operating Systems
  • Prototypes
  • Signal Processing
  • Simulators

Fields of Study

  • Computer science

Readers

  • Integrated Circuit Design and Technology.
  • Military Logistics and Supply Chain Management
  • Systems Analysis and Design