OpenPiton

Abstract

Industry is building larger, more complex, manycore processors on the back of strong institutional knowledge, but academic projects face difficulties in replicating that scale. To alleviate these difficulties and to develop and share knowledge, the community needs open architecture frameworks for simulation, synthesis, and software exploration which support extensibility, scalability, and configurability, alongside an established base of verification tools and supported software. In this paper we present OpenPiton, an open source framework for building scalable architecture research prototypes from 1 core to 500 million cores. OpenPiton is the world's first open source, general-purpose, multithreaded manycore processor and framework. OpenPiton leverages the industry hardened OpenSPARC T1 core with modifications and builds upon it with a scratch-built, scalable uncore creating a flexible, modern manycore design. In addition, OpenPiton provides synthesis and backend scripts for ASIC and FPGA to enable other researchers to bring their designs to implementation. OpenPiton provides a complete verification infrastructure of over 8000 tests, is supported by mature software tools, runs full-stack multiuser Debian Linux, and is written in industry standard Verilog. Multiple implementations of OpenPiton have been created including a taped-out 25-core implementation in IBM's 32nm process and multiple Xilinx FPGA prototypes.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 25, 2016
Source ID
10.1145/2980024.2872414

Entities

People

  • Adi Fuchs
  • Alexey Lavrov
  • David Wentzlaff
  • Jonathan Balkind
  • Matthew Matl
  • Michael Mckeown
  • Mohammad Shahrad
  • Samuel H Payne
  • Tri Nguyen
  • Xiaohua Liang
  • Yanqi Zhou
  • Yaosheng Fu

Organizations

  • Air Force Office of Scientific Research
  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • Nvidia
  • Princeton University

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.