| Automatically adapting programs for mixed-precision floating-point computation MO Lam, JK Hollingsworth, BR de Supinski, MP Legendre Proceedings of the 27th international ACM conference on International …, 2013 | 138 | 2013 |
| Adapt: Algorithmic differentiation applied to floating-point precision tuning H Menon, MO Lam, D Osei-Kuffuor, M Schordan, S Lloyd, K Mohror, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 78 | 2018 |
| Dynamic floating-point cancellation detection MO Lam, JK Hollingsworth, GW Stewart Parallel Computing 39 (3), 146-155, 2013 | 65 | 2013 |
| BRISC—an open source pulmonary nodule image retrieval framework MO Lam, T Disney, DS Raicu, J Furst, DS Channin Journal of digital imaging 20, 63-71, 2007 | 64 | 2007 |
| Content-based image retrieval for pulmonary computed tomography nodule images M Lam, T Disney, M Pham, D Raicu, J Furst, R Susomboon Medical Imaging 2007: PACS and Imaging Informatics 6516, 194-205, 2007 | 58 | 2007 |
| Fine-grained floating-point precision analysis MO Lam, JK Hollingsworth The International Journal of High Performance Computing Applications 32 (2 …, 2018 | 43 | 2018 |
| Tool integration for source-level mixed precision MO Lam, T Vanderbruggen, H Menon, M Schordan 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC …, 2019 | 18 | 2019 |
| Floating-point shadow value analysis MO Lam, BL Rountree 2016 5th Workshop on Extreme-Scale Programming Tools (ESPT), 18-25, 2016 | 18 | 2016 |
| HPC-MixPBench: An HPC benchmark suite for mixed-precision analysis K Parasyris, I Laguna, H Menon, M Schordan, D Osei-Kuffuor, ... 2020 IEEE International Symposium on Workload Characterization (IISWC), 25-36, 2020 | 14 | 2020 |
| Automating systems course unit and integration testing: Experience report DAB Weikle, MO Lam, MS Kirkpatrick Proceedings of the 50th ACM Technical Symposium on Computer Science …, 2019 | 9 | 2019 |
| Less-Java, more learning: language design for introductory programming ZO Nasrawt, MO Lam Journal of Computing Sciences in Colleges 34 (3), 64-72, 2019 | 9 | 2019 |
| Managing the performance/error tradeoff of floating-point intensive applications R Medhat, MO Lam, BL Rountree, B Bonakdarpour, S Fischmeister ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-19, 2017 | 8 | 2017 |
| Thoughtful precision in mini-apps S Fogerty, S Bishnu, Y Zamora, L Monroe, S Poole, M Lam, J Schoonover, ... 2017 IEEE International Conference on Cluster Computing (CLUSTER), 858-865, 2017 | 7 | 2017 |
| Fpinst: Floating point error analysis using dyninst D An, R Blue, M Lam, S Piper, G Stoker | 6 | 2008 |
| Variable precision computing JA Hittinger, PG Lindstrom, H Bhatia, PT Bremer, DM Copeland, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019 | 5 | 2019 |
| Parallelizing shamir's secret sharing algorithm JK Arbogast, IB Sumner, MO Lam Journal of Computing Sciences in Colleges 33 (3), 12-18, 2018 | 4 | 2018 |
| A successful online systems class using scaffolded active learning and formative assessment MO Lam, DAB Weikle Journal of Computing Sciences in Colleges 37 (3), 132-142, 2021 | 3 | 2021 |
| Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era H Menon, J Diffenderfer, G Georgakoudis, I Laguna, MO Lam, ... IT Professional 25 (2), 7-15, 2023 | 2 | 2023 |
| Traveling salesman: a heuristic scaling analysis QE Mast, ZO Nasrawt, GL Folks, MO Lam Journal of Computing Sciences in Colleges 33 (3), 19-25, 2018 | 2 | 2018 |
| Automated floating-point precision analysis MO Lam University of Maryland, College Park, 2014 | 2 | 2014 |
Markus SchordanGoogleVerified email at google.com
