DDARING: Dynamic Data Aware Reconfiguration, Integration and Generation

Abstract

The DDARING TA2 project has created software technologies that advances the SDH program goals by developing a novel programming system for generating optimized code variants and optimized hardware configurations for TA1 hardware platforms. Our approach is capable of accelerating workflows for data-intensive analyses to achieve near-ASIC performance, but with the productivity that analysts have come to expect from modern problem-solving environments such as Julia and Python.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2020
Accession Number
AD1101426

Entities

People

  • Vivek Sarkar

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Autonomy
  • Counter WMD
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Application-Specific Integrated Circuits
  • Artificial Intelligence Software
  • Central Processing Units
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Data Analysis
  • Data Science
  • Data Sets
  • Deep Learning
  • Demographic Cohorts
  • Environment
  • Government Procurement
  • Governments
  • Information Science
  • Kernel Functions
  • Language
  • Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Recurrent Neural Networks
  • Software-Defined Hardware

Fields of Study

  • Computer science

Readers

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