Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


IO500 List Showcases World’s Fastest Storage Systems for HPC

In this video from ISC 2018, John Bent and Jay Lofstead describe how the IO500 benchmark measures storage performance in HPC environments. “The IO500 benchmark suite is designed to be easy to run and the community has multiple active support channels to help with any questions. The list is about much more than just the raw rank; all submissions help the community by collecting and publishing a wider corpus of data.”

How DMTF and Redfish Ease System Administration

In this video from the Dell EMC HPC Community meeting, Alan Sill from Texas Tech University describes how DMTF and the Redfish project will ease system administration for HPC clusters. “DMTF’s Redfish is a standard API designed to deliver simple and secure management for converged, hybrid IT and the Software Defined Data Center (SDDC). An open industry standard specification and schema, Redfish specifies a RESTful interface and utilizes defined JSON payloads – usable by existing client applications and browser-based GUI.”

Intel and Micron to Disband 3D XPoint Memory Partnership

Micron and Intel have announced that their partnership to develop 3D XPoint memory will be disbanded over the next 12 months. “The partnership will be disbanded once the second generation of the technology has been completed next year. Technology development beyond the second generation of 3D XPoint technology will be pursued independently by the two companies.”

Why the World is Starting to look like a Giant HPC Cluster

“AI, machine learning, is not a (traditional) HPC workload. However, it takes an HPC machine to do it. If you look at HPC, generally, you take a model or things like that, you turn it into an extraordinarily large amount of data, and then you go find some information for that data. Machine learning, on the other hand, takes an extraordinarily large amount of information and collapses it into an idea or a model.”

Xilinx Acquires DeePhi Tech, a Machine Learning Startup based in China

Today FPGA maker Xilinx announced that it has acquired DeePhi Technology, a Beijing-based privately held start-up with industry-leading capabilities in machine learning, specializing in deep compression, pruning, and system-level optimization for neural networks. “Xilinx will continue to invest in DeePhi Tech to advance our shared goal of deploying accelerated machine learning applications in the cloud as well as at the edge.”

NEC Accelerates HPC with Vector Computing at ISC 2018

In this video from ISC 2018, Oliver Tennert from NEC Deutschland GmbH introduces the company’s vector computing technologies for HPC and Machine Learning. “The NEC SX-Aurora TSUBASA is the newest in the line of NEC SX Vector Processors with the worlds highest memory bandwidth. The Processor that is implemented in a PCI-e form factor can be configured in many flexible configurations together with a standard x86 cluster.”

Univa Brings Navops to HPC at ISC 2018

In this video, Gary Tyreman from Univa describes how the company is helping HPC users move their workloads to the Cloud with their Navops products. “Univa is the leading innovator in workload management and orchestration solutions. With Navops suite of products, Univa is bringing its expertise to containers. Univa Navops is a suite of products that enable enterprises to easily migrate to the cloud or hybrid cloud, increase efficiencies and run containers at scale.”

Spectra Logic Enhances Tape Library Offerings

Today Spectra Logic announced a set of updates to its enterprise tape libraries. The enhancements benefit customers in government, scientific research, high performance computing, media and entertainment, and public cloud environments who must preserve massive amounts of data long term. “In today’s world, organizations that extract more value from their data gain a competitive edge,” said Nathan Thompson, CEO of Spectra Logic. “Advancements in tape library functionality benefit organizations with large-scale computing platforms, enabling them to use, retain and, in some cases, retrieve enormous amounts of data quickly, securely and affordably for the long term.”

Quantum Corporation Optimizes Data Intensive Workloads at ISC 2018

In this video from ISC 2018, Laura Shepard and Jason Coari from Quantum Corporation describe how the company’s high speed storage solutions power AI & HPC applications. “At ISC, Quantum highlighted end-to-end storage capabilities for large-scale HPC environments. Quantum offerings featured at their exhibit included high-performance Xcellis scale-out storage appliances to support data-intensive processing workflows, and StorNext HSM for automated migration of extremely large data sets to cost-effective storage tiers such as tape, object storage and the cloud.”

SUSE offers Optimized HPC Modules at ISC 2018

In this video from ISC 2018, Jeff Reser from SUSE describes how the company’s software enables High Performance Computing with HPC Modules, lower costs, and support for ARM. “SUSE Linux Enterprise for High Performance Computing provides a parallel computing platform for high performance data analytics workloads such as artificial intelligence and machine learning. Fueled by the need for more compute power and scale, businesses around the world today are recognizing that a high performance computing infrastructure is vital to supporting the analytics applications of tomorrow.”