期刊
出版社
IEEE
DOI: 10.1109/ISPA.2014.31
关键词
-
类别
资金
- EPSRC [EP/I012036/1] Funding Source: UKRI
This paper presents a runtime system for reconfigurable accelerators that supports elastic management: it enables effective sharing of accelerator resources across multiple applications. For each application, this runtime system allocates an appropriate amount of resources to satisfy its quality-of-service requirements, while minimising the overall execution time for a collection of applications. The effectiveness of this runtime system is due to a set of scheduling algorithms and strategies customised for different types of workloads. We demonstrate our approach by implementing a dynamic Monte Carlo bond options pricing design.
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