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HPC Webcast Series
Using graphics processing units to run applications has become one of the hottest trends in high performance computing. The past few years have seen major changes, including increasing migration of single instruction, multiple data (SIMD) computations to highly-parallelized GPU environments available in current hardware configurations, and the ensuing significant performance increases many HPC algorithms have achieved through the use of hybrid GPU computing. View Webcast
In recent years, researchers have witnessed a tremendous explosion in the amount of data generated each day, and have experienced an increase in the complexity of computations needed to effectively understand and analyze this data. This impact is most evident in high performance computing (HPC), with its very large data volumes and the high computational effort needed to process them. View Webcast
High-performance computing (HPC) has come to the forefront as a means of effectively addressing many problems in scientific, educational, research and business settings. In many cases, it is giving users the option of replacing expensive physical experimentation, design, prototyping, and testing with their virtual counterparts based on computational models and solutions. View Webcast |
