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| Content Provider | ACM Digital Library |
|---|---|
| Author | Rudolph, Larry Devadas, Srinivas Chiou, Derek Jain, Prabhat |
| Abstract | We propose a way to improve the performance of embedded processors running data-intensive applications by allowing software to allocate on-chip memory on an application-specific basis. On-chip memory in the form of cache can be made to act like scratch-pad memory via a novel hardware mechanism, which we call column caching. Column caching enables dynamic cache partitioning in software, by mapping data regions to a specified sets of cache “columns” or “ways.” When a region of memory is exclusively mapped to an equivalent sized partition of cache, column caching provides the same functionality and predictability as a dedicated scratchpad memory for time-critical parts of a real-time application. The ratio between scratchpad size and cache size can be easily and quickly varied for each application, or each task within an application. Thus, software has much finer software control of on-chip memory, providing the ability to dynamically tradeoff performance for on-chip memory. |
| Starting Page | 416 |
| Ending Page | 419 |
| Page Count | 4 |
| File Format | |
| ISBN | 1581131879 |
| DOI | 10.1145/337292.337523 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2000-06-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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