The Rise of Flash Native Cache
Burst buffers are growing up—and growing out of the traditional realm of large-scale supercomputers, where they were devised primarily to solve the problems of failure at scale. …
Burst buffers are growing up—and growing out of the traditional realm of large-scale supercomputers, where they were devised primarily to solve the problems of failure at scale. …
The need for speed to process neural networks is far less a matter of processor capabilities and much more a function of memory bandwidth. …
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …
Conventional wisdom says that choosing between a GPU versus CPU architecture for running scientific visualization workloads or irregular code is easy. …
There is something to be said for being at the right place at the right time. …
It’s an unavoidable truth of information technology that the operators and users are sometimes at odds with each other. …
Just five years ago, the infrastructure space was awash in stories about the capabilities cooked into the Hadoop platform—something that was, even then, only a few pieces of code cobbled onto the core HDFS distributed storage with MapReduce serving as the processing engine for analytics at scale. …
Computed tomography (CT) is a widely-used process in medicine and industry. …
One way to characterize the challenges of achieving exascale, is to look at how advancing compute, memory/storage, software, and fabric will lead to a future-generation balanced system. …
During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. …
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