First, Kill All The Servers
Cannibalize your own products or someone else will do it for you, as the old adage goes. …
Cannibalize your own products or someone else will do it for you, as the old adage goes. …
MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing. …
Close to a year ago when more information was becoming available about the Knights Landing processor, Intel released projections for its relative performance against two-socket Haswell machines. …
As supercomputing centers look to future exascale systems, among the other pressing concerns (power consumption in particular) is adopting the right programming approach to scale applications across millions of cores. …
Since the 1990s, MPI (Message Passing Interface) has been the dominant communications protocol for high-performance scientific and commercial distributed computing. …
Some techies are capable of writing programs in assembler, but all will agree that they are very glad that they don’t need to. …
Although there will be some meaty hardware and systems news in high performance computing over the course of 2016, this will be the year that programming models for HPC systems take center stage, especially as large supercomputing sites prepare for their first waves of pre-exascale machines. …
As we have been describing here in detail, there is little end in sight to the train of exascale computing challenges ahead. …
When it comes to leveraging existing Hadoop infrastructure to extend what is possible with large volumes of data and various applications, Yahoo is in a unique position–it has the data and just as important, it has the long history with Hadoop, MapReduce and other key tools in the open source big data stack close at hand and manned with seasoned experts. …
The ever-growing open source data stack ushered in yet another piece this morning with Apache Arrow, a new top-level project providing a columnar in-memory layer that focuses on higher performance data processing. …
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