Parallelizing CAD a timely research agenda for EDA

The relative decline of single-threaded processor performance, coupled with the ongoing shift towards on chip parallelism requires that CAD applications run efficiently on parallel microprocessors. We believe that an ad hoc approach to parallelizing CAD applications will not lead to satisfactory res...

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Vydáno v:2008 45th ACM/IEEE Design Automation Conference s. 12 - 17
Hlavní autoři: Catanzaro, Bryan, Keutzer, Kurt, Su, Bor-Yiing
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 08.06.2008
IEEE
Edice:ACM Conferences
Témata:
Application software
Applied computing > Physical sciences and engineering > Engineering
Computing methodologies > Concurrent computing methodologies > Concurrent programming languages
Concurrent computing
Design automation
Electronic design automation and methodology
Framework
Investments
Logic testing
Manycore
Microprocessors
Multicore processing
Parallel processing
Parallel programming
Parallelization
Pattern
Software and its engineering > Software notations and tools > General programming languages > Language types > Concurrent programming languages
Software and its engineering > Software organization and properties > Software system structures > Software architectures
pattern
framework
parallelization
manycore
ISBN:1605581151, 9781605581156
ISSN:0738-100X
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Popis
Shrnutí:The relative decline of single-threaded processor performance, coupled with the ongoing shift towards on chip parallelism requires that CAD applications run efficiently on parallel microprocessors. We believe that an ad hoc approach to parallelizing CAD applications will not lead to satisfactory results: neither in terms of return on engineering investment nor in terms of the computational efficiency of end applications. Instead, we propose that a key area of CAD research is to identify the design patterns underlying CAD applications and then build CAD application frameworks that aid efficient parallel software implementations of these design patterns. Our initial results indicate that parallel patterns exist in a broad range of CAD problems. We believe that frameworks for these patterns will enable CAD to successfully capitalize on increased processor performance through parallelism.
ISBN:1605581151
9781605581156
ISSN:0738-100X
DOI:10.1145/1391469.1391475