TimeGraph: GPU Scheduling for Real-Time Multi-Tasking Environments
By Shinpei Kato, Karthik Lakshmanan, R. Rajkumar, Y. Ishikawa. USENIX Annual Technical Conference, 2011
326 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/296966dde06031a9ff65848bbf419758f570dd2a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Christopher J. Rossbach
- Yuan Yu
- Lui Raymond Sha
- H. Yun
- Marco Caccamo
- J. Currey
- Gang Yao
- Jean-Phillipe Martin
Citations in the corpus
- Dandelion: a compiler and runtime for heterogeneous systems (2013, background): “Scheduling for heterogeneous systems is an active research area: PTask [70] and TimeGraph [49] focus on eliminating destructive performance interference in the presence of GPU sharing.”
- MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms (2013, methodology): “Proposed techniques have been successfully applied to CPU management [10], [7], [6] and more recently to GPU management [14], [15].”