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The Role of Middleware in Optimizing Vector Processing

A new whitepaper from NEC X delves into the world of unstructured data and explores how vector processors and their optimization software can help solve the challenges of wrangling the ever-growing volumes of data generated globally. “In short, vector processing with SX-Aurora TSUBASA will play a key role in changing the way big data is handled while stripping away the barriers to achieving even higher performance in the future.”

New Achronix Bittware FPGA Accelerator Speeds Cloud, AI, and Machine Learning

In October Bittware and Achronix announced a strategic collaboration with Achronix to introduce the S7t-VG6 PCIe accelerator product – a PCIe card sporting the new Achronix 7nm Speedster7t FPGA. This new generation of accelerator products offers a range of capabilities including low-cost and highly flexible GDDR6 memory that aims to offer HBM-class memory bandwidth, high-performance machine learning processors and a new 2D network-on-chip for high bandwidth and energy-efficient data movement.

Asetek Partners with E4 Computer Engineering, Announces Installation at CINECA

Today Asetek announced E4 Computer Engineering as a new datacenter OEM partner. E4 Computer Engineering has utilized Asetek RackCDU D2C (Direct-to-Chip) liquid cooling for the D.A.V.I.D.E. SUPERCOMPUTER in Italy. Commissioned by PRACE (The Partnership for Advanced Computing in Europe) and installed at CINECA (PRACE Italian hosting member), the innovative OpenPOWER-based D.A.V.I.D.E. supercomputer is built on top of the IBM POWER8 architecture.

Radio Free HPC Looks at Quantum Startup Rigetti Computing

In this podcast, the Radio Free HPC team looks at the week’s top stories: Quantum Startup Rigetti Computing Raises $64 Million in Funding, Rex Computing has their low-power chip, and Intel is shipping their Optane SSDs.

Seagate Accelerates ClusterStor with Flash

Today Seagate Technology introduced the ClusterStor 300N storage system with Nytro Intelligent I/O Manager, the newest addition to its family of scale-out storage systems for high-performance computing and the first with a flash cache accelerator. “Seagate’s ClusterStor 300N expands on our proven, engineered systems approach that delivers performance efficiency and value for HPC environments of any size, using a hybrid technology architecture to handle tough workloads at a fraction of the cost of all-flash approaches.”

insideHPC Research Report on GPUs

In this research report, we reveal recent research showing that customers are feeling the need for speed—i.e. they’re looking for more processing cores. Not surprisingly, we found that they’re investing more money in accelerators like GPUs and moreover are seeing solid positive results from using GPUs. In the balance of this report, we take a look at these finding and and the newest GPU tech from NVIDIA and how it performs vs. traditional servers and earlier GPU products.

Exascale – A Race to the Future of HPC

From Megaflops to Gigaflops to Teraflops to Petaflops and soon to be Exaflops, the march in HPC is always on and moving ahead. This whitepaper details some of the technical challenges that will need to be addressed in the coming years in order to get to exascale computing.

Accelerating Finite Element Analysis with Intel Xeon Phi

With the introduction of the Intel Scalable System Framework, the Intel Xeon Phi processor can speed up Finite Element Analysis significantly. Using highly tuned math libraries such as the Intel Math Kernel Library (Intel MKL), FEA applications can execute math routines in parallel on the Intel Xeon Phi processor.

Machine Learning and the Intel Xeon Phi Processor

“With up to 72 processing cores, the Intel Xeon Phi processor x200 can accelerate applications tremendously. Each core contains two Advanced Vector Extensions, which speeds up the floating point performance. This is important for machine learning applications which in many cases use the Fused Multiply-Add (FMA) instruction.”

CCIX Open Acceleration Framework to Coherently Share Data with Accelerators

Today AMD, ARM, Huawei, IBM, Mellanox, Qualcomm, and Xilinx announced a collaboration to bring the CCIX high-performance open acceleration framework to data centers. The companies are collaborating on the specification for the new Cache Coherent Interconnect for Accelerators (CCIX). For the first time in the industry, a single interconnect technology specification will ensure that processors using different instruction set architectures (ISA) can coherently share data with accelerators and enable efficient heterogeneous computing – significantly improving compute efficiency for servers running data center workloads.