Features

Intel Announces New Knights Landing Book

May 30, 2016 |

“The fact is that Intel has aggressively decided to build a new kind of processor, which includes a number of advances that make it not only the most scalable processor the world has ever seen, but also one of the most versatile, configurable and highly integrated CPUs ever devised,” explains James Reinders as he describes the upcoming Intel® Xeon Phi™ processor.

With that kind of accolade for the forthcoming processor, you wouldn’t be surprised to hear that James and two other Intel experts—Jim Jeffers and Avinash Sodani—have written a book about it called Intel Xeon Phi Processor High Performance Programming: Read more…

GPU-based Deep Learning Enhances Drug Discovery Says Startup

May 26, 2016 | Sifting the avalanche of life sciences (LS) data for insight is an interesting and important challenge. Many approaches are used with varying success. Recently, improved hardware – primarily GPU-based – and better neural networking schemes are bringing deep learning to the fore. Two recent papers report the use of deep neural networks is superior to typical machine learning (support vector machine model) in sieving LS data for drug discovery and personalized medicine purposes. Read more…

HPE Spins Off Services Unit in Merger with CSC

May 25, 2016 | HPE continues its development into an entity of still-evolving form with the announced spin-off of its enterprise services unit, which will be merged with CSC, in what the two companies expect to be a $26 billion “pure-play” IT services organization. The move is in keeping with the recent history of the iconic Silicon Valley company, following the 2014 split of the old Hewlett Packard into Hewlett Packard Enterprise (HPE – servers, cloud computing and other “enterprise units, along with HPC) and HP Inc. (PCs and printers). Read more…

ORNL Researchers Create Framework for Easier, Effective FPGA Programming

May 24, 2016 | Programmability and portability problems have long inhibited broader use of FPGA technology. FPGAs are already widely and effectively used in many dedicated applications (accelerated packet processing, for example), but generally not in situations that require ‘reconfiguring’ the FPGA to accommodate different applications. A group of researchers from Oak Ridge National Laboratory is hoping to change that. Read more…

Cray Bakes Big Data Software Framework Into Urika-GX Analytics Platform

May 24, 2016 | Cray continued its courtship of the advanced scale enterprise market with today's launch of the Urika-GX, a system that integrates Cray supercomputing technologies with an agile big data platform designed to run multiple analytics workloads concurrently. While Cray has pre-installed analytics software in previous systems, the new system takes pre-configuration to a new level with an open software framework designed to eliminate installation, integration and update headaches that stymie big data implementations. Read more…

Lustre Takes Aim at Enterprise Security Requirements

May 23, 2016 | “Security in Lustre reflects its roots as a high performance computing (HPC) file system,” said John Hammond of Intel’s High Performance Data Division. In traditional HPC deployments, Lustre resides in a physically secure and logically isolated environment, dependent on strict network access controls, managed by large and siloed teams focused on what’s happening with the systems, and accessed by users already holding appropriate clearances to log on and use the resources. Read more…

IBM Puts 3D XPoint on Notice with 3 Bits/Cell PCM Breakthrough

May 18, 2016 | IBM scientists have broken new ground in the development of a phase change memory technology (PCM) that puts a target on competing 3D XPoint technology from Intel and Micron. IBM successfully stored 3 bits per cell in a 64k-cell array that had been pre-cycled 1 million times and exposed to temperatures up to 75∘C. A paper describing the advance was presented this week at the IEEE International Memory Workshop in Paris. Phase-change memory is an up-and-coming non-volatile memory technology... Read more…

Machine Learning Advances Fight Against Cancer

May 18, 2016 | Developing effective tools against cancer has been a long, complicated endeavor with successes and disappointments. Despite all, cancer remains the leading cause of death worldwide. Now, machine learning and data analytics are being recruited as tools in the effort fight the disease and show significant promise according to two recent papers. In one paper – An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer – researchers from MIT and Stanford “propose models that use machine learning and optimization to suggest regimens to be tested in phase II and phase III trials.” Read more…

DDN Flashes New All-flash Arrays for Enterprise Use Cases at Scale

May 17, 2016 | DDN, a high-end storage standard bearer, this morning joined the ranks of storage vendors offering new all-flash technology with the launch of Flashscale, a family of all-flash, scale-out and scale-up products designed for read, write and mixed workloads for enterprise data analytics, web scale cloud and HPC environments. Available in August, the SFA14KXi (the first model number within the Flashscale family) is targeted at organizations demanding storage platforms that deliver high performance capacity and latency across massive stores of data types and applications, including analytics and database acceleration in Hadoop environments ... Read more…

Nielsen and Intel Migrate HPC Efficiency and Data Analytics to Big Data

May 16, 2016 | Nielsen has collaborated with Intel to migrate important pieces of HPC technology into Nielsen’s big-data analytic workflows including MPI, mature numerical libraries from NAG (the Numerical Algorithms Group), as well as custom C++ analytic codes. This complementary hybrid approach integrates the benefits of Hadoop data management and workflow scheduling with an extensive pool of HPC tools and C/C++ capabilities for analytic applications. In particular, the use of MPI reduces latency, permits reuse of the Hadoop servers, and co-locates the MPI applications close to the data. Read more…