Hybrid Computing for CAE Analysis
sponsored by Cray

While computer-aided engineering (CAE) applications have remained relatively constant in recent years, the HPC hardware environment they run on has advanced rapidly.  For example, microprocessors have "many cores," large SMP servers feature over 100 cores and a terabyte of memory, SSDs eliminate the rotating disk drives, and GPU accelerators offer over 10X performance gains.  The twist is that these advancements can both greatly improve performance for some analysis and hurt performance in other cases.  Since the application resource requirements vary widely between CAE code and even between different models, the best performance requires a hybrid environment.  Cray Inc.'s Greg Clifford and Steve Behling discuss recent hardware technologies and take you through real performance results, showing exactly how CAE applications are mapping onto these new hardware products.

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