Hardware-Assisted Large-Scale Neuroevolution for Multiagent Learning

Abstract

This DURIP equipment award was used to purchase, install, and bring on-line two Berkeley Emulation Engines (BEEs) and two mini-BEE machines to establish an FPGA-based high-performance multiagent training platform and its associated software. This acquisition of BEE4- W (Berkeley Emulation Engine) hardware platforms has costed $201,500.00 in total. To accelerate both the multiagent software simulation and hardware development, a DELL integrated cluster environment unit was purchased, featuring 192 2.8 GHz processors (on 24 nodes) with 384 GB high- speed RAM on an Infiniband backbone. We also installed cluster control software and licenses for the UBUNTU-based Linux operating system. Soft-ware was installed including JAVA and C/C++ compiler suites (debuggers, performance measurements, etc.), the Xilinx ISE software suite, and the Matlab software. The system was ordered in late 2012 and arrived in early 2013 and was up and running routinely with local users in a few weeks.

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Document Details

Document Type
Technical Report
Publication Date
Dec 30, 2014
Accession Number
ADA621804

Entities

People

  • Mingjie Lin

Organizations

  • University of Central Florida

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Computer Architecture
  • Computers
  • Computing System Architectures
  • Department Of Defense
  • Electrical Engineering
  • Engineering
  • High Performance Computing
  • Network Science
  • Neural Networks
  • Operating Systems
  • Signal Processing
  • Simulations
  • Students
  • Training

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.
  • Research Science/Academic Research