Fault tolerant preconditioned conjugate gradient for sparse linear system solution M Shantharam, S Srinivasmurthy, P Raghavan Proceedings of the 26th ACM international conference on Supercomputing, 69-78, 2012 | 113 | 2012 |
Characterizing the impact of soft errors on iterative methods in scientific computing M Shantharam, S Srinivasmurthy, P Raghavan Proceedings of the international conference on Supercomputing, 152-161, 2011 | 99 | 2011 |
Non-affine extensions to polyhedral code generation A Venkat, M Shantharam, M Hall, MM Strout Proceedings of Annual IEEE/ACM International Symposium on Code Generation …, 2014 | 70 | 2014 |
Nitro: A framework for adaptive code variant tuning S Muralidharan, M Shantharam, M Hall, M Garland, B Catanzaro 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 68 | 2014 |
Adapting sparse triangular solution to GPUs B Suchoski, C Severn, M Shantharam, P Raghavan 2012 41st International Conference on Parallel Processing Workshops, 140-148, 2012 | 29 | 2012 |
Towards making autotuning mainstream P Basu, M Hall, M Khan, S Maindola, S Muralidharan, S Ramalingam, ... The International journal of high performance computing applications 27 (4 …, 2013 | 25 | 2013 |
Co-scheduling algorithms for high-throughput workload execution G Aupy, M Shantharam, A Benoit, Y Robert, P Raghavan Journal of Scheduling 19 (6), 627-640, 2016 | 18 | 2016 |
Speedup-aware co-schedules for efficient workload management M Shantharam, Y Youn, P Raghavan Parallel Processing Letters 23 (02), 1340001, 2013 | 11 | 2013 |
Exploiting dense substructures for fast sparse matrix vector multiplication M Shantharam, A Chatterjee, P Raghavan The International Journal of High Performance Computing Applications 25 (3 …, 2011 | 11 | 2011 |
Performance evaluation of scale-free graph algorithms in low latency non-volatile memory M Shantharam, K Iwabuchi, P Cicotti, L Carrington, M Gokhale, R Pearce 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 5 | 2017 |
Co-scheduling Amdahl applications on cache-partitioned systems G Aupy, A Benoit, S Dai, L Pottier, P Raghavan, Y Robert, M Shantharam The International Journal of High Performance Computing Applications 32 (1 …, 2018 | 3 | 2018 |
Hybrid techniques for fast multicore simulation M Shantharam, P Raghavan, M Kandemir European Conference on Parallel Processing, 122-134, 2009 | 3 | 2009 |
Co-scheduling algorithms for cache-partitioned systems G Aupy, A Benoit, L Pottier, P Raghavan, Y Robert, M Shantharam 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 2 | 2017 |
Reducing communication in parallel graph search algorithms with software caches P Cicotti, M Shantharam, L Carrington The International Journal of High Performance Computing Applications 33 (2 …, 2019 | 1 | 2019 |
Understanding I/O Bottlenecks and Tuning for High Performance I/O on Large HPC Systems: A Case Study M Shantharam, M Tatineni, D Choi, A Majumdar Proceedings of the Practice and Experience on Advanced Research Computing, 1-6, 2018 | 1 | 2018 |
Co-Scheduling High-Performance Computing Applications G Aupy, A Benoit, L Pottier, P Raghavan, Y Robert, M Shantharam Big Data: Management, Architecture, and Processing, 2017 | 1 | 2017 |
Tuning tasks, granularity, and scratchpad size for energy efficiency P Cicotti, M Shantharam, L Carrington Proceedings of the 2nd International Workshop on Hardware-Software Co-Design …, 2015 | 1 | 2015 |
Towards building a Fault Tolerant and Secure Open Science Chain M Shantharam, S Sakai, K Lin, S Sivagnanam Gateways2020, 2020 | | 2020 |
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead H Sun, A Gainaru, M Shantharam, P Raghavan 2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020 | | 2020 |
Research Workflows-Towards reproducible science via detailed provenance tracking in Open Science Chain V Nandigam, K Lin, M Shantharam, S Sakai, S Sivagnanam Practice and Experience in Advanced Research Computing, 484-486, 2020 | | 2020 |