The State of HPC Cloud in 2016 (Act now, free version)

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Written by Douglas Eadline

Published: 02 November 2016

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from the read-this free-book-while eating-lunch department

The platform is offering a free (this week) pdf-book called The State of HPC Cloud. From their web page:

We are pleased to announce that the first book from Next Platform Press, titled “The State of HPC Cloud: 2016 Edition,” is complete. The printed book will be available on Amazon.com and other online bookstores in December, 2016. However, in the meantime, supercomputing cloud company, Nimbix, is backing an effort to offer a digital download edition for free for this entire week—from October 31, until November 6.

This resource is not a bunch of industry promotional papers slapped together to look like a book. The free pdf-book is 80 pages and has extensive references. Good stuff and worth reading. Get it before Nov 6.

Intersect360 Research: HPC Market Forecast

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Written by Bryan Richard

Published: 25 October 2016

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A recent Intersect360 Research Report presents the 2015 total market model and five-year forecast for the overall High Performance Computing (HPC) market, including servers, storage, services, software, networks and other products. Last year (2015) saw continued realignment of supplier position based on sale of IBM’s x86 server business to Lenovo. Expectations varied by economic sector, but were generally more bullish than supplier results might suggest. Cloud computing maintained a high level of interest, even as current spending remained relatively low.

Fall 2016 Julia News

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Written by Number Six

Published: 27 October 2016

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From the language-not-the-movie(s) department

Two important Julia Language updates. First, a great interview over at RCE-Cast (while you are there listen to the Singularity interview as well). Head over an take a listen.

What is Julia you ask? A good answer comes from the Julia team:

Julia is the open source programming language for data science and numerical computing that is taking many diverse areas such finance, central banking, insurance, engineering, robotics, artificial intelligence, astrophysics, life sciences and many others by storm. Julia combines the functionality of quantitative environments such as Python and R with the speed of production languages like C++, Fortran and Java to solve big data and analytics problems. Julia delivers dramatic improvements in simplicity, speed, capacity and productivity for data scientists, quants and researchers who need to solve massive computation problems quickly and accurately. The number of Julia users has grown dramatically during the last five years – doubling every 9 months. Julia is taught at MIT, Stanford and dozens of universities worldwide, including MOOCs on Coursera and EdX.

Update: Intel releases ParallelAccelerator v0.2 for Julia 0.5

Return of the Free Lunch (sort of)

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Written by Douglas Eadline

Published: 07 October 2016

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From the do-you-want-fries-with-that department

As processor frequencies continue to level off and mainstream processors keep sprouting cores, the end of the "frequency free lunch" has finally arrived. That is, in the good old days each new generation of processor would bring with it a faster system clock that would result in a "free" performance bump for many software applications -- no reprogramming needed. Can we ever get back to the good old days?