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Using High Performance Computing to Model Cellular Embryogenesis., , , , , , и . XSEDE, стр. 12:1-12:4. ACM, (2016)Parallel implementation of an integrated edge-preserving smoothing algorithm in clusters of workstations., , , , и . ACM Southeast Regional Conference, стр. 20-22. ACM, (1998)Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control., , , и . VLDB, стр. 1298-1309. ACM, (2007)openDIEL: A Parallel Workflow Engine and Data Analytics Framework., , , , , и . PEARC, стр. 20:1-20:7. ACM, (2019)MagmaDNN: Accelerated Deep Learning Using MAGMA., , , , , и . PEARC, стр. 71:1-71:6. ACM, (2019)Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations., , , и . PEARC, стр. 93:1-93:4. ACM, (2024)Challenges and Accomplishments of the Computational Science Undergraduate Research Experiences Program., и . XSEDE, стр. 53:1-53:5. ACM, (2016)Delayed Update Algorithms for Quantum Monte Carlo Simulation on GPU: Extended Abstract., , , , , и . XSEDE, стр. 13:1-13:4. ACM, (2016)Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments., , и . ISC Workshops, том 11887 из Lecture Notes in Computer Science, стр. 643-655. Springer, (2019)MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing., , , , , и . ISC Workshops, том 11887 из Lecture Notes in Computer Science, стр. 490-503. Springer, (2019)