The PARSEC benchmark suite: characterization and architectural implications
Abstract
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited number of synchronization methods. PARSEC includes emerging applications in recognition, mining and synthesis (RMS) as well as systems applications which mimic large-scale multithreaded commercial programs. Our characterization shows that the benchmark suite covers a wide spectrum of working sets, locality, data sharing, synchronization and off-chip traffic. The benchmark suite has been made available to the public.
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- Authors
- Bienia, C., Kumar, S., Singh, J. P., & Li, K.
- Affiliations
- Princeton University (US)
- Intel (United States) (US)
- Venue
- Proceedings of the 17th international conference on Parallel architectures and compilation techniques
- Publisher
- ACM
- Published
- 2008-10-25
- Pages
- 72-81
- ISSN
- 1089-795X (ISSN-L)
- OpenAlex
- W2169875292
- Cited by
- 3,444
- References
- 1
- Citations by year
- 2026: 52 · 2025: 65 · 2024: 73 · 2023: 66 · 2022: 103 · 2021: 135 · 2020: 215 · 2019: 227 · 2018: 253 · 2017: 271 · 2016: 330 · 2015: 309 · 2014: 282 · 2013: 275 · 2012: 228
- FWCI
- 109.87
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Parallel Architectures and Compilation Techniques (PACT) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Interconnection Networks and Systems
- Keywords
- multi-core processors, shared-memory multiprocessors, synchronization methods, working set, locality, data sharing, multithreaded programs
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