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| Content Provider | ACM Digital Library |
|---|---|
| Author | Li, Guangqiang Kejariwal, Arun Nicolau, Alexandru Veidenbaum, Alexander V. |
| Abstract | Multi-cores are becoming ubiquitous as exemplified by Sun's Niagra-2, Intel's Nehalem and AMD's Sau Paulo octal cores. The number of cores per chip is expected to rise in foreseeable future, as evidenced by the recently announced Intel's 80-core Teraflops Research Chip. Exploiting the parallelism of multicores necessitates concurrent software. One way to parallelize programs, not amenable to auto-parallelization, is via explicit synchronization. The placement of the synchronization primitives has a large bearing on how much thread-level parallelism (TLP) can be achieved. In this paper, we propose novel predication-based and other adjunct synchronization optimizations which facilitate exploitation on higher level of TLP than what can be achieved using the state-of-the-art. We demonstrate the efficacy of our techniques, on a real machine, using real codes, specifically, from the industry-standard SPEC CPU benchmarks and other widely used open source codes such as PostgreSQL. Our results show that the proposed techniques yield significantly higher levels of TLP than the state-of-the-art. |
| Starting Page | 169 |
| Ending Page | 180 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781605584980 |
| DOI | 10.1145/1542275.1542303 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-06-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Multithreading Code motion Synchronization Compilers |
| Content Type | Text |
| Resource Type | Article |
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