Vignesh Adhinarayanan

Affiliation

AMD Research, Austin, TX, USA

Topic

Power Consumption,3D Space,Acquisition Costs,Activity Progression,Adaptive Mesh Refinement,Application Process,Consolidation Phase,Cosmological,Coupling Strategy,Design Space Exploration,Desktop Computer,Efficiency Improvement,Efficient Progression,Efficient System,Energy Efficiency,Extreme Scale,Frontier,Graphics Processing Unit,Growth Phase,Hardware Setup,Heterogeneous Systems,High Voltage Direct Current,High-performance Computing,High-performance Computing Systems,High-performance Visualization,Image Quality,Improve Energy Efficiency,Increase In Execution Time,Isosurface,Load Data,Metrics Of Interest,Pair Of Processes,Parallelization,Parameter Space,Point Cloud,Power Measurements,Prediction Model,Primary Clusters,Problem Size,Ratio Of Samples,Ray Casting,Real-world Applications,Root Mean Square Error,Scaling Algorithm,Scientific Visualization,Simulation Code,Space Exploration,Spatial Sampling,Strong Scaling,Top Of The List,

Biography

Vignesh Adhinarayanan is a research scientist at AMD Research, Austin, TX 78735 USA. His research interests include memory-system and accelerator design for sparse and irregular high-performance computing and machine learning applications. Adhinarayanan received a Ph.D. in computer science from Virginia Tech. He is also a key contributor to the Green500, previously affiliated with Virginia Tech. He is a Member of IEEE. Contact him at [email protected].