The Big Compute blog reviews a new SGI whitepaper on data-intensive computing by Steve Conway of IDC:
“IDC claims that data-intensive workloads are going to become par for the HPC course in coming years, making up a more sizable portion of the overall high performance computing market. Conway notes that “in addition, while many big data problems will be run on standard clusters, limitations in the memory sizes and memory architectures of clusters make them ill-suited for the most challenging classes of data-intensive problems.” He points to a number of HPC sites that are looking to upgrade their systems to those that have fatter memory profiles, a trend that IDC expects to see playing out in the next few years and beyond.
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