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| Content Provider | ACM Digital Library |
|---|---|
| Author | Gebhart, Mark Tarjan, David Keckler, Stephen W. Lindholm, Erik Skadron, Kevin Dally, William J. Johnson, Daniel R. |
| Abstract | Modern graphics processing units (GPUs) use a large number of hardware threads to hide both function unit and memory access latency. Extreme multithreading requires a complicated thread scheduler as well as a large register file, which is expensive to access both in terms of energy and latency. We present two complementary techniques for reducing energy on massively-threaded processors such as GPUs. First, we examine register file caching to replace accesses to the large main register file with accesses to a smaller structure containing the immediate register working set of active threads. Second, we investigate a two-level thread scheduler that maintains a small set of active threads to hide ALU and local memory access latency and a larger set of pending threads to hide main memory latency. Combined with register file caching, a two-level thread scheduler provides a further reduction in energy by limiting the allocation of temporary register cache resources to only the currently active subset of threads. We show that on average, across a variety of real world graphics and compute workloads, a 6-entry per-thread register file cache reduces the number of reads and writes to the main register file by 50% and 59% respectively. We further show that the active thread count can be reduced by a factor of 4 with minimal impact on performance, resulting in a 36% reduction of register file energy. |
| Starting Page | 235 |
| Ending Page | 246 |
| Page Count | 12 |
| File Format | PDF MP4 |
| ISSN | 01635964 |
| DOI | 10.1145/2024723.2000093 |
| Journal | ACM SIGARCH Computer Architecture News (CARN) |
| Volume Number | 39 |
| Issue Number | 3 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1981-04-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Energy-efficiency Throughput computing Multi-threading Register file organization |
| Content Type | Audio Text |
| Resource Type | Article |
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