“Optimizing HPC Applications with Intel Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters. The book focuses on optimization for clusters consisting of the Intel Xeon processor, but the optimization methodologies also apply to the Intel Xeon Phi coprocessor and heterogeneous clusters mixing both architectures.”
Has Cloud HPC finally made it’s way to the Missing Middle? In this slidecast, Jason Stowe from Cycle Computing describes how the company enabled HGST to spin up a 70,000-core cluster from AWS and then return it 8 hours later. “One of HGST’s engineering workloads seeks to find an optimal advanced drive head design, taking 30 days to complete on an in-house cluster. In layman terms, this workload runs 1 million simulations for designs based upon 22 different design parameters running on 3 drive media Running these simulations using an in-house, specially built simulator, the workload takes approximately 30 days to complete on an internal cluster.”
“IME unleashes a new I/O provisioning paradigm. This breakthrough, software defined storage application introduces a whole new new tier of transparent, extendable, non-volatile memory (NVM), that provides game-changing latency reduction and greater bandwidth and IOPS performance for the next generation of performance hungry scientific, analytic and big data applications – all while offering significantly greater economic and operational efficiency than today’s traditional disk-based and all flash array storage approaches that are currently used to scale performance.”
With the Avere FXT Edge Filer, uou basically get the same hardware operating EC2 cloud as you get from our physical appliances. Then you are on our software and what our software does is, it has the intelligence to automatically cache the active data up in the cloud. It pulls this data either from the Amazon S3 storage cloud or from your data center, from your NAS or object systems that are in your data center, and the goal there is to hide the latency to the storage.
“Display Manager is our most significant functionality update since the move to HPC itself,” said Eric Morales, Engineer and Design Analyst at Ping Golf. “In most cases we are saving a full day of time or more. We get instant feedback, make the change and have enough time to view the results of those changes the same day. Before the upgrade we wouldn’t get those results until mid to late morning the next day, and wouldn’t get the updated structure until end of the next day. Display Manager has greatly improved the speed and efficiency of our process.”