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Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper.

, , , and . PEHC@SC, page 34-43. IEEE, (2021)

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Deep Learning Predicts Protein-Ligand Interactions., , , , , , , and . IEEE BigData, page 5627-5629. IEEE, (2020)Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries., , , and . IEEE BigData, page 4553-4560. IEEE, (2019)The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic., , , , , , , , , and 2 other author(s). SMC, volume 1512 of Communications in Computer and Information Science, page 157-172. Springer, (2021)FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms., , , , and . PDSW-DISCS@SC, page 25-30. IEEE Computer Society, (2016)Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper., , , and . PEHC@SC, page 34-43. IEEE, (2021)Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs., , , and . IEEE BigData, page 2578-2582. IEEE Computer Society, (2015)Kernels for scalable data analysis in science: Towards an architecture-portable future., , , and . IEEE BigData, page 1026-1031. IEEE Computer Society, (2016)Mini-apps for high performance data analysis., , , and . IEEE BigData, page 1483-1492. IEEE Computer Society, (2016)Knowledge discovery from massive healthcare claims data., , and . KDD, page 1312-1320. ACM, (2013)Graph Processing Platforms at Scale: Practices and Experiences., , , , and . ISPASS, page 42-51. IEEE Computer Society, (2015)