DocumentCode
2523716
Title
Fine-grained parallel VLSI synthesis for commercial CAD on a network of workstations
Author
Kim, Victor ; Banerjee, Prithviraj ; De, Kaushik
Author_Institution
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
fYear
2000
fDate
2000
Firstpage
421
Lastpage
428
Abstract
We present a fine-grained parallel processing scheme for speeding up an industrial VLSI synthesis tool on a network of workstations without sacrificing the quality of results. The synthesis tool is Ambit BuildGates, a high-capacity ASIC logic synthesis software from Cadence Design Systems. We examine some necessary operating conditions for a practical parallel implementation of such a software, and propose a parallel approach which accommodates for the highly-irregular computation requirements in synthesis and the high-latency, low-bandwidth conditions of the target environment. For pragmatic as well as performance concerns, we designed a parallel algorithm which produces results (synthesized logic) that are identical to those of the original uniprocessor algorithm. We employ heuristic load assessment and adaptive cyclic distribution in order to actively balance the unpredictable load throughout execution, which enables a considerable reduction in runtime (i.e. 51.3 hours down to 23.4 hours) on actual customer design benchmarks
Keywords
VLSI; high level synthesis; parallel programming; workstation clusters; ASIC logic synthesis; Ambit BuildGates; VLSI synthesis; commercial CAD; fine-grained parallel processing; network of workstations; parallel algorithm; performance; runtime; synthesis tool; Application specific integrated circuits; Concurrent computing; Design automation; Logic design; Network synthesis; Parallel processing; Software design; Software tools; Very large scale integration; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Toronto, Ont.
ISSN
0190-3918
Print_ISBN
0-7695-0768-9
Type
conf
DOI
10.1109/ICPP.2000.876158
Filename
876158
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