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Yuriy Kashnikov, PhD
Yuriy Kashnikov, PhD
Exyte
Verified email at exyte.com
Title
Cited by
Cited by
Year
Milepost gcc: Machine learning enabled self-tuning compiler
G Fursin, Y Kashnikov, AW Memon, Z Chamski, O Temam, M Namolaru, ...
International journal of parallel programming 39, 296-327, 2011
3202011
Is source-code isolation viable for performance characterization?
C Akel, Y Kashnikov, P de Oliveira Castro, W Jalby
2013 42nd International Conference on Parallel Processing, 977-984, 2013
252013
Fine-grained benchmark subsetting for system selection
P de Oliveira Castro, Y Kashnikov, C Akel, M Popov, W Jalby
Proceedings of Annual IEEE/ACM International Symposium on Code Generation …, 2014
222014
Transforming GCC into a research-friendly environment: plugins for optimization tuning and reordering, function cloning and program instrumentation
Y Huang, L Peng, C Wu, Y Kashnikov, J Rennecke, G Fursin
2nd International Workshop on GCC Research Opportunities (GROW'10), 2010
152010
Evaluating architecture and compiler design through static loop analysis
Y Kashnikov, P de Oliveira Castro, E Oseret, W Jalby
2013 International Conference on High Performance Computing & Simulation …, 2013
142013
Compiler optimizations: Machine learning versus o3
Y Kashnikov, JC Beyler, W Jalby
Languages and Compilers for Parallel Computing: 25th International Workshop …, 2013
132013
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