ERASE: Energy efficient task mapping and resource management for work stealing runtimes
J Chen, M Manivannan, M Abduljabbar… - ACM Transactions on …, 2022 - dl.acm.org
Parallel applications often rely on work stealing schedulers in combination with fine-grained
tasking to achieve high performance and scalability. However, reducing the total energy …
tasking to achieve high performance and scalability. However, reducing the total energy …
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
J Chen, M Manivannan, M Abduljabbar… - arXiv preprint arXiv …, 2022 - arxiv.org
Parallel applications often rely on work stealing schedulers in combination with fine-grained
tasking to achieve high performance and scalability. However, reducing the total energy …
tasking to achieve high performance and scalability. However, reducing the total energy …
[PDF][PDF] ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
J Chen, M Manivannan, M Abduljabbar - 2022 - research.chalmers.se
Reducing energy consumption of multiprocessor systems is a major requirement to enhance
battery life, reduce the cost of cooling, and overall improve system's scalability and reliability …
battery life, reduce the cost of cooling, and overall improve system's scalability and reliability …
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
J Chen, M Manivannan, M Abduljabbar… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Parallel applications often rely on work stealing schedulers in combination with fine-grained
tasking to achieve high performance and scalability. However, reducing the total energy …
tasking to achieve high performance and scalability. However, reducing the total energy …