Early work on modeling computational sprinting
Author:
Affiliation:
1. The Ohio State University
2. IBM Research Zürich
3. Denison University
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3127479.3132691
Reference8 articles.
1. Songchun Fan Seyed Majid Zahedi and Benjamin C. Lee. 2016. The Computational Sprinting Game. In ASPLOS. 561--575. Songchun Fan Seyed Majid Zahedi and Benjamin C. Lee. 2016. The Computational Sprinting Game. In ASPLOS. 561--575.
2. Kristen Gardner Samuel Zbarsky Sherwin Doroudi Mor Harchol-Balter and Esa Hyytiä. 2015. Reducing Latency via Redundant Requests: Exact Analysis. In Sigmetrics. 347--360. Kristen Gardner Samuel Zbarsky Sherwin Doroudi Mor Harchol-Balter and Esa Hyytiä. 2015. Reducing Latency via Redundant Requests: Exact Analysis. In Sigmetrics. 347--360.
3. J. Kelley C. Stewart N. Morris D. Tiwari Yuxiong He and S. Elnikety. 2015. Measuring and Managing Answer Quality for Online Data-Intensive Services. In IEEE ICAC. J. Kelley C. Stewart N. Morris D. Tiwari Yuxiong He and S. Elnikety. 2015. Measuring and Managing Answer Quality for Online Data-Intensive Services. In IEEE ICAC.
4. ESP: A Machine Learning Approach to Predicting Application Interference
5. Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity?
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1. Optimal Sprinting Pattern in Thermal Constrained CMPs;IEEE Transactions on Emerging Topics in Computing;2021-01-01
2. DTaPO: Dynamic Thermal-Aware Performance Optimization for Dark Silicon Many-Core Systems;Electronics;2020-11-23
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