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IBM Platform Computing – Ready to Run Clusters in the Cloud

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Demands by users that are running applications in the scientific, technical, financial or research areas can easily outstrip the capabilities of in-house clusters of servers. IT departments have to anticipate compute and storage needs for their most demanding users, which can lead to extra spending on both CAPEX and OPEX once the workload changes.

Contemplating Moving Into the Cloud? – Check out CloudyCluster

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High performance computing in the cloud just got a lot easier. Omnibond, the South Carolina-based company that provides development and support services for OrangeFS, has released CloudyCluster just in time for SC14. The new solution works in conjunction with OrangeFS to ease the burden of creating and maintaining a cloud-based HPC or Big Data infrastructure.

Slidecast: How Cycle Computing Spun Up a Petascale CycleCloud

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“For this big workload, a 156,314-core CycleCloud behemoth spanning 8 AWS regions, totaling 1.21 petaFLOPS (RPeak, not RMax) of aggregate compute power, to simulate 205,000 materials, crunched 264 compute years in only 18 hours. Thanks to Cycle’s software and Amazon’s Spot Instances, a supercomputing environment worth $68M if you had bought it, ran 2.3 Million hours of material science, approximately 264 compute-years, of simulation in only 18 hours, cost only $33,000, or $0.16 per molecule.