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| Content Provider | ACM Digital Library |
|---|---|
| Author | Mahlke, S ott Fan, Kevin Kudlur, Manjunath Park, Hyun hul |
| Abstract | In the embedded domain, custom hardware in the form of ASICs is often used to implement critical parts of applications when performance and energy efficiency goals cannot be met with software implementations on a general purpose processor or DSP. The downsides of using ASICs include high non-recurring engineering costs, inability to accommodate changes in the application after production, and inability to reuse hardware for new applications. However, by allowing a degree of post-programmability, the hardware can retain high performance and energy efficiency while increasing flexibility and reusability. The difficulty with programmable custom hardware lies in mapping new applications onto an existing datapath that is both sparse and irregular. This paper proposes a constraint-driven modulo scheduler that maps software-pipelineable loops onto programmable loop accelerator hardware. The scheduler is able to target accelerators with widely varying levels of datapath functional capability and connectivity, and thus, varying degrees of programmability. The paper investigates the ability of the scheduler to map new loops onto existing hardware, which depends on both the degree of programmability of the hardware as well as the similarity of the new loop to the original loop for which the hardware was designed. |
| Starting Page | 124 |
| Ending Page | 133 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781595939784 |
| DOI | 10.1145/1356058.1356075 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-04-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Loop accelerator Modulo scheduling Programmable asic |
| Content Type | Text |
| Resource Type | Article |
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