Computing just what you need: Online data analysis and reduction at extreme scales I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ... Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 101 | 2017 |
Optimal basic block instruction scheduling for multiple-issue processors using constraint programming AM Malik, J McInnes, P Van Beek International journal on artificial intelligence tools 17 (01), 37-54, 2008 | 65 | 2008 |
Performance evaluation of deep learning compilers for edge inference G Verma, Y Gupta, AM Malik, B Chapman 2021 IEEE international parallel and distributed processing symposium …, 2021 | 50 | 2021 |
Arcs: Adaptive runtime configuration selection for power-constrained openmp applications MAS Bari, N Chaimov, AM Malik, KA Huck, B Chapman, AD Malony, ... 2016 IEEE international conference on cluster computing (CLUSTER), 461-470, 2016 | 31 | 2016 |
Optimal tile size selection problem using machine learning AM Malik 2012 11th International Conference on Machine Learning and Applications 2 …, 2012 | 21 | 2012 |
An application of constraint programming to superblock instruction scheduling AM Malik, M Chase, T Russell, P Van Beek Principles and Practice of Constraint Programming: 14th International …, 2008 | 19 | 2008 |
OpenMP task scheduling analysis via OpenMP runtime API and tool visualization A Qawasmeh, AM Malik, BM Chapman 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 18 | 2014 |
Spatial based feature generation for machine learning based optimization compilation AM Malik 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 17 | 2010 |
Learning heuristics for the superblock instruction scheduling problem T Russell, AM Malik, M Chase, P van Beek IEEE Transactions on Knowledge and Data Engineering 21 (10), 1489-1502, 2009 | 16 | 2009 |
Constraint programming techniques for optimal instruction scheduling A Malik University of Waterloo, 2008 | 16 | 2008 |
Toward supporting multi-GPU targets via taskloop and user-defined schedules V Kale, W Lu, A Curtis, AM Malik, B Chapman, O Hernandez OpenMP: Portable Multi-Level Parallelism on Modern Systems: 16th …, 2020 | 15 | 2020 |
Learning heuristics for basic block instruction scheduling AM Malik, T Russell, M Chase, P van Beek Journal of Heuristics 14, 549-569, 2008 | 13 | 2008 |
Learning basic block scheduling heuristics from optimal data. T Russell, AM Malik, M Chase, P van Beek CASCON, 242-253, 2005 | 13 | 2005 |
Adaptive openmp task scheduling using runtime apis and machine learning A Qawasmeh, AM Malik, BM Chapman 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 12 | 2015 |
Open source task profiling by extending the openmp runtime api A Qawasmeh, A Malik, B Chapman, K Huck, A Malony OpenMP in the Era of Low Power Devices and Accelerators: 9th International …, 2013 | 12 | 2013 |
Towards efficient remote openmp offloading W Lu, B Shan, E Raut, J Meng, M Araya-Polo, J Doerfert, AM Malik, ... International Workshop on OpenMP, 17-31, 2022 | 11 | 2022 |
Power and energy footprint of openmp programs using openmp runtime api A Nandamuri, AM Malik, A Qawasmeh, BM Chapman 2014 Energy Efficient Supercomputing Workshop, 79-88, 2014 | 11 | 2014 |
False sharing detection in OpenMP applications using OMPT API M Ghane, AM Malik, B Chapman, A Qawasmeh OpenMP: Heterogenous Execution and Data Movements: 11th International …, 2015 | 10 | 2015 |
Solution of an outstanding conjecture: the non-existence of universal cycles with k= n− 2 B Stevens, P Buskell, P Ecimovic, C Ivanescu, AM Malik, A Savu, ... Discrete Mathematics 258 (1-3), 193-204, 2002 | 10 | 2002 |
MPI-based remote OpenMP offloading: a more efficient and easy-to-use implementation B Shan, M Araya-Polo, AM Malik, B Chapman Proceedings of the 14th International Workshop on Programming Models and …, 2023 | 8 | 2023 |