The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Graphite: A distributed parallel simulator for multicores
Open accessAbstract
This paper introduces the Graphite open-source distributed parallel multicore simulator infrastructure. Graphite is designed from the ground up for exploration of future multi-core processors containing dozens, hundreds, or even thousands of cores. It provides high performance for fast design space exploration and software development. Several techniques are used to achieve this including: direct execution, seamless multicore and multi-machine distribution, and lax synchronization. Graphite is capable of accelerating simulations by distributing them across multiple commodity Linux machines. When using multiple machines, it provides the illusion of a single process with a single, shared address space, allowing it to run off-the-shelf pthread applications with no source code modification. Our results demonstrate that Graphite can simulate target architectures containing over 1000 cores on ten 8-core servers. Performance scales well as more machines are added with near linear speedup in many cases. Simulation slowdown is as low as 41× versus native execution.
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Cites
The SPLASH-2 programs: characterization and methodological considerations
Woo, S. C., Ohara, M., Torrie, E., Singh, J. P., & Gupta, A. (1995) · Proceedings of the 22nd annual international symposium on Computer architecture - ISCA '95 · doi:10.1145/223982.223990 · Cited by 3,624
The PARSEC benchmark suite: characterization and architectural implications
Bienia, C., Kumar, S., Singh, J. P., & Li, K. (2008) · Proceedings of the 17th international conference on Parallel architectures and compilation techniques · doi:10.1145/1454115.1454128 · Cited by 3,444
Pin: building customized program analysis tools with dynamic instrumentation
Luk, C.-K., Cohn, R., Muth, R., Patil, H., Klauser, A., Lowney, G., Wallace, S., Reddi, V. J., & Hazelwood, K. (2005) · ACM SIGPLAN Notices · doi:10.1145/1064978.1065034 · Cited by 3,180
Jefferson, D. R. (1985) · ACM Transactions on Programming Languages and Systems · doi:10.1145/3916.3988 · Cited by 2,397
Pin: building customized program analysis tools with dynamic instrumentation
Luk, C.-K., Cohn, R., Muth, R., Patil, H., Klauser, A., Lowney, G., Wallace, S., Reddi, V. J., & Hazelwood, K. (2005) · Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation · doi:10.1145/1065010.1065034 · Cited by 2,310
QEMU, a fast and portable dynamic translator
Bellard, F. (2005) · USENIX Annual Technical Conference · Cited by 2,207
The SPLASH-2 programs: characterization and methodological considerations
Woo, S. C., Ohara, M., Torrie, E., Singh, J. P., & Gupta, A. (2002) · Proceedings 22nd Annual International Symposium on Computer Architecture · doi:10.1109/isca.1995.524546 · Cited by 1,601
Multifacet's general execution-driven multiprocessor simulator (GEMS) toolset
Martin, M. M. K., Sorin, D. J., Beckmann, B. M., Marty, M. R., Xu, M., Alameldeen, A. R., Moore, K. E., Hill, M. D., & Wood, D. A. (2005) · ACM SIGARCH Computer Architecture News · doi:10.1145/1105734.1105747 · Cited by 1,558
Complete computer system simulation: the SimOS approach
Rosenblum, M., Herrod, S. A., Witchel, E., & Gupta, A. (1995) · IEEE Parallel & Distributed Technology: Systems & Applications · doi:10.1109/88.473612 · Cited by 498
An evaluation of directory schemes for cache coherence
Agarwal, A. K., Simoni, R., Hennessy, J. L., & Horowitz, M. (1998) · doi:10.1145/285930.285995 · Cited by 420
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Metadata
- Authors
- Miller, J. E., Kasture, H., Kurian, G., Gruenwald, C., Beckmann, N., Celio, C., Eastep, J., & Agarwal, A.
- Venue
- HPCA - 16 2010 The Sixteenth International Symposium on High-Performance Computer Architecture
- Publisher
- IEEE
- Published
- 2010-01
- Pages
- 1-12
- OpenAlex
- W2161522487
- Cited by
- 478
- References
- 14
- FWCI
- 29.20
- Type
- conference paper
- Language
- en
- Open access
- green
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- Miller, J. E., Kasture, H., Kurian, G., Gruenwald, C., Beckmann, N., Celio, C., Eastep, J., & Agarwal, A. (2010). Graphite: A distributed parallel simulator for multicores. HPCA - 16 2010 The Sixteenth International Symposium on High-Performance Computer Architecture. https://doi.org/10.1109/hpca.2010.5416635
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