VTR 8

Author:

Murray Kevin E.1ORCID,Petelin Oleg1ORCID,Zhong Sheng1,Wang Jia Min1,Eldafrawy Mohamed1ORCID,Legault Jean-Philippe2,Sha Eugene1,Graham Aaron G.2,Wu Jean1,Walker Matthew J. P.1,Zeng Hanqing1,Patros Panagiotis2,Luu Jason3,Kent Kenneth B.2,Betz Vaughn1

Affiliation:

1. University of Toronto, Toronto, Ontario, Canada

2. University of New Brunswick, Fredericton, New Brunswick, Canada

3. Intel Programmable Solutions Group, Toronto, Ontario, Canada

Abstract

Developing Field-programmable Gate Array (FPGA) architectures is challenging due to the competing requirements of various application domains and changing manufacturing process technology. This is compounded by the difficulty of fairly evaluating FPGA architectural choices, which requires sophisticated high-quality Computer Aided Design (CAD) tools to target each potential architecture. This article describes version 8.0 of the open source Verilog to Routing (VTR) project, which provides such a design flow. VTR 8 expands the scope of FPGA architectures that can be modelled, allowing VTR to target and model many details of both commercial and proposed FPGA architectures. The VTR design flow also serves as a baseline for evaluating new CAD algorithms. It is therefore important, for both CAD algorithm comparisons and the validity of architectural conclusions, that VTR produce high-quality circuit implementations. VTR 8 significantly improves optimization quality (reductions of 15% minimum routable channel width, 41% wirelength, and 12% critical path delay), run-time (5.3× faster) and memory footprint (3.3× lower). Finally, we demonstrate VTR is run-time and memory footprint efficient, while producing circuit implementations of reasonable quality compared to highly-tuned architecture-specific industrial tools—showing that architecture generality, good implementation quality, and run-time efficiency are not mutually exclusive goals.

Funder

Semiconductor Research Corporation

Lattice Semiconductor

New Brunswick Innovation Foundation

Canadian Foundation for Innovation

NSERC CGS-D scholarship

NSERC/Intel Industrial Research Chair in Programmable Silicon, Huawei

Ontario Graduate Scholarship

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

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