Platform Computing Marries HPC to Big Data
Platform Computing, a provider of high-performance computing (HPC) platforms, is betting that IT organizations working with Big Data have a need for speed.
The company announced today that the grid computing architecture that serves as the foundation of the company’s Platform LSF and Platform Symphony offerings can now be programmed to run distributed application workloads using MapReduce.
According to Scott Campbell, director of product management for enterprise analytics at Platform Computing, IT organizations are discovering that while MapReduceprovides an effective way to manipulate large amounts of data, they need a platform that can process that data quickly. An HPC platform that masks the complexity of distributing those application workloads across a large number of processors creates an ideal environment for running these types of workloads, he said.
