| Challenges in Monte Carlo event generator software for High-Luminosity LHC HSF Physics Event Generator WG, A Valassi, E Yazgan, J McFayden, ... Computing and Software for Big Science 5 (1), 12, 2021 | 55 | 2021 |
| Compiler support for lightweight context switching S Dolan, S Muralidharan, D Gregg ACM Transactions on Architecture and Code Optimization (TACO) 9 (4), 1-25, 2013 | 23 | 2013 |
| A semi-automated tool flow for roofline anaylsis of opencl kernels on accelerators S Muralidharan, K O’Brien, C Lalanne First International Workshop on Heterogeneous High-performance …, 2015 | 20 | 2015 |
| HL-LHC computing review: common tools and community software T Aarrestad, S Amoroso, MJ Atkinson, J Bendavid, T Boccali, A Bocci, ... | 16 | 2020 |
| Efficient multibyte floating point data formats using vectorization A Anderson, S Muralidharan, D Gregg IEEE Transactions on Computers 66 (12), 2081-2096, 2017 | 14 | 2017 |
| Impact of different compilers and build types on Geant4 simulation execution time C Marcon, O Smirnova, S Muralidharan EPJ Web of Conferences 245, 05037, 2020 | 6 | 2020 |
| Trident: an automated system tool for collecting and analyzing performance counters S Muralidharan, D Smith EPJ Web of Conferences 214, 08024, 2019 | 5 | 2019 |
| An OpenCL design of the Bob Jenkins lookup3 hash function using the Xilinx TM SDAccelTM Development Environment C Lalanne, S Muralidharan, M Lysaght ICHEC White Paper, July 16, 2, 2015 | 2 | 2015 |
| Heterogeneous multiconstraint application partitioner (HMAP) S Muralidharan, A Vasudevan, A Malik, D Gregg Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 …, 2013 | 2 | 2013 |
| arXiv: HL-LHC Computing Review: Common Tools and Community Software T Aarrestad, M Ritter, A Grohsjean, S Roiser, L Lönnblad, SP Summers, ... | | 2020 |
| HL-LHC Computing Review: Common Tools and Community Software HEP Foundation, T Aarrestad, S Amoroso, MJ Atkinson, J Bendavid, ... arXiv preprint arXiv:2008.13636, 2020 | | 2020 |
| Challenges in Monte Carlo event generator software for High-Luminosity LHC THSF WG, A Valassi, E Yazgan, J McFayden, S Amoroso, J Bendavid, ... arXiv preprint arXiv:2004.13687, 2020 | | 2020 |
| Trends in computing technologies and markets: The HEPiX TechWatch WG A Sciaba, H Meinhard, G Cancio, M Gasthuber, C Hollowell, M Michelotto, ... EPJ Web of Conferences 245, 07056, 2020 | | 2020 |
| Time Series Metric Extraction for Application Behaviour Modeling R Maganza, M Schulz, S Muralidharan | | 2019 |
| Behind the scenes perspective: Into the abyss of profiling for performance S Muralidharan, D Smith | | 2018 |
| POSEIDON: Analyzing the secrets of the Trident Node monitoring Tool LXK Rivero, S Muralidharan, D Smith | | 2018 |
| Trident: Automated system tool for collecting and analyzing hardware performance counters S Muralidharan, D Smith | | 2018 |
| Computing challenges in HEP for WLHC grid S Muralidharan | | 2017 |
| Improving Parallelism through Communication, Partitioning and Load Balancing Optimizations S Muralidharan TRINITY COLLEGE DUBLIN, 2016 | | 2016 |
| Results on the PTF Release and the Documentation: Deliverable D5. 5 of the European Autotune Project, http://www. autotune-project. eu M Lysaght, R Miceli, S Gaikwad, S Muralidharan, M Gerndt, A Berariu, ... | | 2015 |
David GreggProfessor in Computer Science, Lero, Trinity College DublinEmail verificata su cs.tcd.ie