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Andres Marquez is a senior research scientist at the Pacific Northwest National Lab. His research interests include energy efficient computing – from data-centers to chips, novel computing paradigms, as well as compile-time and runtime optimizations for HPC.
State of the Practice
ACM Student Research Competition
P99: The Intersection of Big Data and HPC: Using Asynchronous Many Task Runtime Systems for HPC and Big Data
Parallel Application Frameworks
Parallel Programming Languages, Libraries, Models and Notations