Large-Scale GPU Accelerated Windows HPC Clusters & Advanced Bioinformatics and Structural Proteomics

Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=nu0vTzBCEEY



Duration: 35:21
149 views
3


eScience: Large Scale Data Analysis - HPC-GPU:Large-Scale GPU Accelerated Windows HPC Clusters and its Advanced Bioinformatics and Structural Proteomics




Other Videos By Microsoft Research


2016-09-06Bio Tools - Microsoft Computational Finance Server as a Platform for Computational Biology
2016-09-06The eScience Appliance: Provisioning an Inexpensive Bottom-Up Cyberinfrastructure
2016-09-06Dynamic Generation of Interactive Ecosystem Report Cards Using Silverlight and Virtual Earth
2016-09-06Data Interoperability - SciScope : A Data Discovery and Retrieval Tool for Environmental Science
2016-09-06eScience: Bio Tools - Publication and Consumption of caBIG Data Services using .NET
2016-09-06eScience: Data Visualization - On-the-fly Visualization of Scientific Geospatial Data Using Wavelets
2016-09-06eScience: Bio Tools - BioMashups: The New World of Exploratory Bioinformatics?
2016-09-06eScience: Bio Tools - Supporting Life Scientists via End User Programming
2016-09-06eScience: Birds of a Feather Session - Semantics for eScience
2016-09-06Querying and Visualizing Data Cube in Mathematica for Environmental Science Applications
2016-09-06Large-Scale GPU Accelerated Windows HPC Clusters & Advanced Bioinformatics and Structural Proteomics
2016-09-06eScience: Large Scale Data Analysis - GrayWulf: Petascale Data-Intensive Computing for eScience
2016-09-06eScience Tutorial: A Virtual Research Environment and a Research-Output Repository Platform
2016-09-06eScience: Opening Keynote - The CARMEN Science Cloud - Paul Watson, Professor, Newcastle University
2016-09-06eScience Tutorial: Cloud Computing ΓÇô A Technical Overview
2016-09-06eScience Tutorial: Trident, A Scientific Workflow Workbench for Data Intensive Computing
2016-09-06Simplifying the Design of Workflows for Large-Scale Data Exploration and Visualization
2016-09-06eScience: Large Scale Data Analysis - Pan-STARRS: Learning to Ride the Data Tsunami
2016-09-06GPU-Based Interactive Visualization of Billion Point Cosmological Simulations
2016-09-06eScience: Opening Remarks
2016-09-06eScience: Simulation and Modeling - Processes and Constraints in Scientific Model Construction



Tags:
microsoft research