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| Content Provider | ACM Digital Library |
|---|---|
| Author | Subramanian, Lavanya Chang, Kevin Kai-Wei Loh, Gabriel H. Mutlu, Onur Ausavarungnirun, Rachata |
| Abstract | When multiple processor (CPU) cores and a GPU integrated together on the same chip share the off-chip main memory, requests from the GPU can heavily interfere with requests from the CPU cores, leading to low system performance and starvation of CPU cores. Unfortunately, state-of-the-art application-aware memory scheduling algorithms are ineffective at solving this problem at low complexity due to the large amount of GPU traffic. A large and costly request buffer is needed to provide these algorithms with enough visibility across the global request stream, requiring relatively complex hardware implementations. This paper proposes a fundamentally new approach that decouples the memory controller's three primary tasks into three significantly simpler structures that together improve system performance and fairness, especially in integrated CPU-GPU systems. Our three-stage memory controller first groups requests based on row-buffer locality. This grouping allows the second stage to focus only on inter-application request scheduling. These two stages enforce high-level policies regarding performance and fairness, and therefore the last stage consists of simple per-bank FIFO queues (no further command reordering within each bank) and straightforward logic that deals only with low-level DRAM commands and timing. We evaluate the design trade-offs involved in our Staged Memory Scheduler (SMS) and compare it against three state-of-the-art memory controller designs. Our evaluations show that SMS improves CPU performance without degrading GPU frame rate beyond a generally acceptable level, while being significantly less complex to implement than previous application-aware schedulers. Furthermore, SMS can be configured by the system software to prioritize the CPU or the GPU at varying levels to address different performance needs. |
| Starting Page | 416 |
| Ending Page | 427 |
| Page Count | 12 |
| File Format | |
| ISSN | 01635964 |
| DOI | 10.1145/2366231.2337207 |
| Journal | ACM SIGARCH Computer Architecture News (CARN) |
| Volume Number | 40 |
| 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) |
| Content Type | Text |
| Resource Type | Article |
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