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Using High Performance Computing to Model Cellular Embryogenesis., , , , , , and . XSEDE, page 12:1-12:4. ACM, (2016)Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control., , , and . VLDB, page 1298-1309. ACM, (2007)Parallel implementation of an integrated edge-preserving smoothing algorithm in clusters of workstations., , , , and . ACM Southeast Regional Conference, page 20-22. ACM, (1998)openDIEL: A Parallel Workflow Engine and Data Analytics Framework., , , , , and . PEARC, page 20:1-20:7. ACM, (2019)Delayed Update Algorithms for Quantum Monte Carlo Simulation on GPU: Extended Abstract., , , , , and . XSEDE, page 13:1-13:4. ACM, (2016)Challenges and Accomplishments of the Computational Science Undergraduate Research Experiences Program., and . XSEDE, page 53:1-53:5. ACM, (2016)Interoperable executive library for the simulation of biomedical processes., , , and . J. Comput. Appl. Math., (2014)Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments., , and . ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 643-655. Springer, (2019)MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing., , , , , and . ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 490-503. Springer, (2019)MagmaDNN: Accelerated Deep Learning Using MAGMA., , , , , and . PEARC, page 71:1-71:6. ACM, (2019)