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 | 321 | 2011 |
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 | 25 | 2013 |
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 | 22 | 2014 |
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 | 15 | 2010 |
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 | 14 | 2013 |
Compiler optimizations: Machine learning versus o3 Y Kashnikov, JC Beyler, W Jalby Languages and Compilers for Parallel Computing: 25th International Workshop …, 2013 | 13 | 2013 |