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ERIC S TUNE
ERIC S TUNE
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Title
Cited by
Cited by
Year
Large-scale cluster management at Google with Borg
A Verma, L Pedrosa, M Korupolu, D Oppenheimer, E Tune, J Wilkes
Proceedings of the Tenth European Conference on Computer Systems, 1-17, 2015
14052015
CPI2 CPU performance isolation for shared compute clusters
X Zhang, E Tune, R Hagmann, R Jnagal, V Gokhale, J Wilkes
Proceedings of the 8th ACM European Conference on Computer Systems, 379-391, 2013
3592013
Loose loops sink chips
E Borch, E Tune, S Manne, J Emer
Proceedings Eighth International Symposium on High Performance Computer …, 2002
2232002
Google-wide profiling: A continuous profiling infrastructure for data centers
G Ren, E Tune, T Moseley, Y Shi, S Rus, R Hundt
IEEE micro 30 (4), 65-79, 2010
2112010
Dynamic prediction of critical path instructions
E Tune, D Liang, DM Tullsen, B Calder
Proceedings HPCA Seventh International Symposium on High-Performance …, 2001
2092001
Reducing power with dynamic critical path information
JS Seng, ES Tune, DM Tullsen
Proceedings. 34th ACM/IEEE International Symposium on Microarchitecture …, 2001
1132001
Optimizing Google's warehouse scale computers: The NUMA experience
L Tang, J Mars, X Zhang, R Hagmann, R Hundt, E Tune
2013 IEEE 19th International Symposium on High Performance Computer …, 2013
862013
Quantifying instruction criticality
ES Tune, DM Tullsen, B Calder
Proceedings. International Conference on Parallel Architectures and …, 2002
722002
Balanced multithreading: Increasing throughput via a low cost multithreading hierarchy
E Tune, R Kumar, DM Tullsen, B Calder
37th International Symposium on Microarchitecture (MICRO-37'04), 183-194, 2004
642004
Sysdig 2019 container usage report: New kubernetes and security insights
E Carter
Oct, 2019
72019
Critical-path aware processor architectures
E Tune
University of California, San Diego, 2004
42004
Identifying task instance outliers based on metric data in a large scale parallel processing system
R Hagmann, X Zhang, ES Tune, V Gokhale
US Patent 9,280,386, 2016
32016
Identifying task instance outliers based on metric data in a large scale parallel processing system
R Hagmann, X Zhang, ES Tune, V Gokhale
US Patent 9,880,879, 2018
12018
Identifying task instances that interfere with processor performance
X Zhang, ES Tune, R Jnagal, R Hagmann, V Gokhale
US Patent 9,015,718, 2015
12015
Paper Submitted to ISCA 2004 Hierarchical Multithreading: Combining Simultaneous and Coarse-grained Multithreading
E Tune, R Kumar, DM Tullsen, B Calder
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Articles 1–15