Gordon Bell Looks Out Into A Parallel World
It was 31 years ago when Alan Karp, then an IBM employee, decided to put up $100 of his own money in hopes of solving a vexing issue for him and others in the computing field. …
It was 31 years ago when Alan Karp, then an IBM employee, decided to put up $100 of his own money in hopes of solving a vexing issue for him and others in the computing field. …
There has been a lot of talk this week about what architectural direction Intel will be taking for its forthcoming exascale efforts. …
The semiconductor industry is no longer able to depend on dramatic performance and power efficiency gains from Moore’s Law and Dennard Scaling. …
Today, most machine learning is done on processors. Some would say that acceleration of learning has to be done on GPUs, but for most users that is not good advice for several reasons. …
Chip giant Intel has been talking about CPU-FPGA compute complexes for so long that it is hard to remember sometimes that its hybrid Xeon-Arria compute unit, which puts a Xeon server chip and a midrange FPGA into a single Xeon processor socket, is not shipping as a volume product. …
It is difficult not to be impatient for the technologies of the future, which is one reason that this publication is called The Next Platform. …
The “Skylake” Xeon SP processors from Intel have been in the market for nearly a month now, and we thought it would be a good time to drill down into the architecture of the new processor. …
It looks like the push to true cloud computing that many of us have been projecting for such a long time is actually coming to pass, and despite many of the misgivings that many of us have expressed about giving up control of our own datacenters and the applications that run there. …
The oil and gas industry has been on the cutting edge of many waves of computing over the several decades that supercomputers have been used to model oil reservoirs in both the planning of the development of an oil field and in quantifying the stored reserves of a field and therefore the future possible revenue stream of the company. …
Having been at the forefront of machine learning since the 1980s when I was a staff scientist in the Theoretical Division at Los Alamos performing basic research on machine learning (and later applying it in many areas including co-founding a machine-learning based drug discovery company), I was lucky enough to participate in the creation and subsequently to observe first-hand the process by which the field of machine-learning grew to become a ‘bandwagon’ that eventually imploded due to misconceptions about the technology and what it could accomplish. …
All Content Copyright The Next Platform