
OpenPower Lays Out HPC Roadmap
When the OpenPower Foundation was formed a year and a half ago, IBM had a number of reasons, driven by enlightened self-interest, for fostering a partnerships with Google, Nvidia, Mellanox Technologies, and Tyan. …
When the OpenPower Foundation was formed a year and a half ago, IBM had a number of reasons, driven by enlightened self-interest, for fostering a partnerships with Google, Nvidia, Mellanox Technologies, and Tyan. …
Sometimes it takes a bit of tweaking to make a technology that is created for supercomputing centers more suitable for high-end enterprise customers, even sophisticated ones that are not afraid to take risks and try something different. …
Big data arguably originated in the global high-performance computing (HPC) community in the 1950s for government applications such as cryptography, weather forecasting, and space exploration. …
When Lenovo Group bought the System x division from IBM last fall, it got a lot more than a business that sells rack and tower servers based on X86 processors. …
Sometime before the end of this year, it will be possible to get a petabyte of raw flash storage capacity that fits within a 3U rack enclosure, and if current trends persist, such a device will cost the same or less than a disk array equipped with reasonably capacious and zippy disk drives. …
As we described in detail in the previous section of this series on the state of Lustre and the roadmap for the parallel file system, beyond traditional HPC, the file system has some weaknesses for large-scale enterprise shops. …
DNA sequencing has been driving unprecedented discoveries in the life sciences since the emergence of next-generation sequencing (NGS) technologies ten years ago. …
Server maker Lenovo might have just shelled out billions of dollars to acquire IBM’s System x X86 server business, but don’t be confused. …
While it is generally considered stable and reliable in large-scale environments, Lustre is not without a few key weaknesses, which the small vendor community supporting it are often first to point out. …
From processors, memory, network, and beyond, making architectural choices to support large-scale genomics research is often fed as much by trial and error as it is empirical knowledge about what will work for a demanding application set. …
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