Name
Abstract | ||
|---|---|---|
As GPUs have become essential components for embedded computing systems, a shared GPU with multiple CPU cores needs to efficiently support concurrent execution of multiple different applications. Spatial multitasking, which assigns a different amount of streaming multiprocessors (SMs) to multiple applications, is one of the most common solutions for this. However, this is not a panacea for maximiz... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCA.2018.2889042 | IEEE Computer Architecture Letters |
Keywords | Field | DocType |
Instruction sets,Graphics processing units,Kernel,Multitasking,Resource management,Micromechanical devices,Weaving | Resource management,Control theory,Computer science,Instruction set,Scheduling (computing),Parallel computing,Throughput,Human multitasking,Shared resource,Multi-core processor | Journal |
Volume | Issue | ISSN |
18 | 1 | 1556-6056 |
Citations | PageRank | References |
4 | 0.43 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiho Kim | 1 | 57 | 15.00 |
| Jehee Cha | 2 | 4 | 0.43 |
| Jason Jong Kyu Park | 3 | 90 | 4.68 |
| Dongsuk Jeon | 4 | 183 | 21.01 |
| Yongjun Park | 5 | 277 | 20.15 |