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The news in this category has been selected by us because we thought it would be interestingto hard core cluster geeks. Of course, you don't have to be a cluster geek to read the news stories.

A recent article on has announced a breakthrough in quantum computing. The article, Crucial hurdle overcome in quantum computing, describes how a team at University of New South Wales (UNSW) in Sydney Australia has created a working quantum gate in silicon. This process paves the way for quantum computing to become a reality in the years to come. Background on quantum computing can be found in this Cluster Monkey article: A Smidgen of Quantum Computing

According to Dr. Menno Veldhorst, a UNSW Research Fellow and the lead author of the Nature paper:

"We've morphed those silicon transistors into quantum bits by ensuring that each has only one electron associated with it. We then store the binary code of 0 or 1 on the 'spin' of the electron, which is associated with the electron's tiny magnetic field."

From the best acronym of the day (BAD) department

The Adept project is bringing some metrics and tools to help optimize energy-efficient use of parallel technologies. According the web site, "Adept builds on the expertise of software developers from high-performance computing (HPC) to exploit parallelism for performance, and on the expertise of Embedded systems engineers in managing energy usage. Adept is developing a tool that can guide software developers and help them to model and predict the power consumption and performance of parallel software and hardware."

Recently, Adapt released a benchmarks suite to help understand and measure power usage for HPC and embedded systems The benchmark suite consists of a wide range of benchmarks including both high-performance embedded and high-performance technical computing. The benchmarks are designed to characterize the efficiency (both in terms of performance and energy) of computer systems, from the hardware and system software stack to the compilers and programming models. More information about the benchmark suite can found on the EPCC Blog Page

Hopefully the ClusterMonkey crew will carve out some time to play with these tools and report back on their experiences.

Intel and Micron just announced a new type of memory that does not use transistors. Called 3D Xpoint memory, the new technology is reported to be 1,000 times faster in both read and write than NAND, as well ten times more dense with 1000 times more endurance. If this is true and the price is right a real disruption awaits the industry. The performance numbers are orders of magnitude over anything else (HP memristor where are you?).

Intel states that it not a phase-change memory process, a memristor technology, or a spin-transfer torque technique. Get more details here: What a New Class of Memory Means for Future Applications (The Platform).

Editors Note: The stories and articles have slowed to a trickle because of this: Hadoop 2 Quick-Start Guide. The book is now in production so more Monkey goodness shall be forthcoming.

Update: Intel has announced Optane branded drives and memory sticks built using Xpoint memory. Get more details from the Platform article: Intel Reveals Plans For Optane 3D XPoint Memory

Wire-speed and beyond, oh wait

A recent twitter post by Chris Samuel ‏@chris_bloke pointed out some optimizations in Linux networking. Over at there is an article explaining Bulk network packet transmission. The comments are worth reading as well, including this blog post by Jesper Dangaard Brouer.

Addison Snell of Intersect360 Research presented the firm’s findings on HPC Software Environments in 2014 to the members of the HPC500, an elite user group of organizations that represent a worldwide, diverse collection of established HPC professionals from a cross-section of academic, government, and commercial organizations.

The presentation drew on findings from several different reports. Intersect360 Research recently released two HPC User Site Census reports, one on applications and one on middleware. The reports examined the supplier, products, and primary usage of the application software and middleware reported at a number of sites over the previous year. The presentation also included findings from the research firm’s annual HPC user budget map, which tracks spending patterns and shows a percent of spending by category, as well as from a special study on “The Big Data Opportunity for HPC,” which surveyed both HPC and non-HPC enterprises (through a partnership with Gabriel Consulting) on Big Data applications and infrastructures.


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