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Brian Kocoloski
Brian Kocoloski
Research Scientist, University of Southern California / Information Sciences Institute
E-mail confirmado em isi.edu - Página inicial
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Achieving performance isolation with lightweight co-kernels
J Ouyang, B Kocoloski, JR Lange, K Pedretti
Proceedings of the 24th International Symposium on High-Performance Parallel …, 2015
612015
A case for dual stack virtualization: consolidating HPC and commodity applications in the cloud
B Kocoloski, J Ouyang, J Lange
Proceedings of the Third ACM Symposium on Cloud Computing, 1-7, 2012
272012
Xemem: Efficient shared memory for composed applications on multi-os/r exascale systems
B Kocoloski, J Lange
Proceedings of the 24th International Symposium on High-Performance Parallel …, 2015
242015
Better than native: Using virtualization to improve compute node performance
B Kocoloski, J Lange
Proceedings of the 2nd International Workshop on Runtime and Operating …, 2012
212012
System-level support for composition of applications
B Kocoloski, J Lange, H Abbasi, DE Bernholdt, TR Jones, J Dayal, ...
Proceedings of the 5th International Workshop on Runtime and Operating …, 2015
192015
Temperature-aware task scheduling and proactive power management
A Majumdar, BJ Kocoloski, L Piga, W Huang, Y Eckert
US Patent 10,452,437, 2019
172019
HPMMAP: Lightweight memory management for commodity operating systems
B Kocoloski, J Lange
2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014
142014
Achieving balanced execution through runtime detection of performance variation
BJ Kocoloski, L Piga, W Huang, I Paul
US Patent 10,613,957, 2020
132020
Hardware performance variation: A comparative study using lightweight kernels
H Weisbach, B Gerofi, B Kocoloski, H Härtig, Y Ishikawa
High Performance Computing: 33rd International Conference, ISC High …, 2018
132018
Real-time performance tracking using dynamic compilation
L Piga, BJ Kocoloski, W Huang, A Majumdar, I Paul
US Patent App. 15/192,748, 2017
112017
Varbench: an Experimental Framework to Measure and Characterize Performance Variability
B Kocoloski, JR Lange
International Conference on Parallel Processing, 2018
92018
Implications of memory interference for composed HPC applications
B Kocoloski, Y Zhou, B Childers, J Lange
Proceedings of the 2015 International Symposium on Memory Systems, 95-97, 2015
72015
Lightweight memory management for high performance applications in consolidated environments
B Kocoloski, J Lange
IEEE Transactions on Parallel and Distributed Systems 27 (2), 468-480, 2015
72015
Reducing Kernel Surface Areas for Isolation and Scalability
D Zahka, B Kocoloski, K Keahey
International Conference on Parallel Processing, 2019
62019
A Case for Criticality Models in Exascale Systems
B Kocoloski, L Piga, W Huang, I Paul, J Lange
2016 IEEE International Conference on Cluster Computing (CLUSTER), 213-216, 2016
62016
Scalability in the Presence of Variability
B Kocoloski
University of Pittsburgh, 2018
52018
A cross-enclave composition mechanism for exascale system software
N Evans, K Pedretti, B Kocoloski, J Lange, M Lang, PG Bridges
Proceedings of the 6th International Workshop on Runtime and Operating …, 2016
42016
Improving compute node performance using virtualization
B Kocoloski, J Lange
The International journal of high performance computing applications 27 (2 …, 2013
42013
Hobbes: A multi-kernel infrastructure for application composition
B Kocoloski, J Lange, K Pedretti, R Brightwell
Operating Systems for Supercomputers and High Performance Computing, 241-267, 2019
32019
Hobbes Node Virtualization Layer: System Software Infrastructure for Application Composition and Performance Isolation.
N Evans, K Pedretti, S Mukherjee, B Kocoloski, JR Lange, PG Bridges, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
22022
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