Highlighted events for the Mochi project at this year’s SC conference included the following:
- Pascal Grosset, Jesus Pulido, and James Ahrens. 2020. “Personalized In Situ Steering for Analysis and Visualization,” in ISAV’20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV’20). Association for Computing Machinery, New York, NY, USA, 1–6. DOI:https://doi.org/10.1145/3426462.3426463
- Christopher Kelly, Sungsoo Ha, Kevin Huck, Hubertus Van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, Nicholas D’Imperio, Wei Xu, Shinjae Yoo, and Kerstin Kleese Van Dam. 2020. “Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool,” in ISAV’20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV’20). Association for Computing Machinery, New York, NY, USA, 15–19. DOI:https://doi.org/10.1145/3426462.3426465
- P. Carns, K. Harms, B. Settlemyer, B. Atkinson and R. Ross, “Keeping It Real: Why HPC Data Services Don’t Achieve I/O Microbenchmark Performance,” in 2020 IEEE/ACM Fifth International Parallel Data Systems Workshop (PDSW), GA, USA, 2020 pp. 1-6. doi: 10.1109/PDSW51947.2020.00006