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Univa Powers Intel Select Solutions for HPC & AI Converged Clusters

Today Univa announced that the company is participating in the Intel Select Solution for HPC and AI Converged Clusters. “By giving our customers a path to take this next step, Intel has likewise put a lot of work into developing a set of solutions that support pooling of individual workload-optimized clusters to create a uniform computing environment that can run cloud and HPC, AI and HPDA workloads 24/7.”

High Performance Computing in the World of Artificial Intelligence

In this special guest feature, Thierry Pellegrino from Dell EMC writes that data analytics powered by HPC & AI solutions are delivering new insights for research and the enterprise. “HPC is clearly no longer reserved for large companies or research organizations. It is meant for those who want to achieve more innovation, discoveries, and the elusive competitive edge.”

Supermicro steps up with NVIDIA EGX for AI on the Edge

Today Supermicro announced support for the NVIDIA EGX platform, allowing customers to rapidly develop AI applications in their Edge networks. “Enhancing our GPU servers and advanced platforms optimized for AI at the Edge technology with NVIDIA EGX and NGC provides a wide selection of optimized and efficient solutions for the intelligent Edge and for seamless integration from the Edge to the cloud.”

Penguin Computing Breaks STAC-M3 Performance Records with WekaIO

Today Penguin Computing and WekaIO announced record performance on the STAC-M3 Benchmark. The STAC-M3 Antuco and Kanaga Benchmark Suites are the industry standard for testing solutions that enable high-speed analytics on time series data, such as tick-by-tick market data. “By combining Penguin Computing Relion servers and FrostByte Storage with the WekaIO File System, the companies have affirmed that this integrated solution is ideal for algorithmic trading and quantitative analysis workloads, common in financial services.”

Report: Machine Learning Workloads Bolstering HPC Market

Intersect360 Research has completed its market sizing and new five-year forecast for the High Performance Computing industry. “AI workloads are sweeping through all types of enterprises and research, which is affecting both the HPC and Hyperscale markets. In HPC, we’re seeing not only a measurable affect on top-line budget expectations, but also different technology choices being made to accommodate machine learning workloads.”

Cray to build Big Red 200 Supercomputer for Indiana University

Today Cray announced that Indiana University has selected a Cray Shasta supercomputing system to advance the use of AI across diverse research fields at the university. ” We’ve entered an age where AI is poised to transform the future of many industries–from healthcare to cybersecurity–and we’re confident the latest technology from Cray will meet our needs for a computing infrastructure that will build on the promise of AI in Indiana.”

Pricing American Options with the NEC SX-Aurora TSUBASA Vector Engine

The Aldwin division of ANEO is now working together with NEC to leverage the leading-edge vector technology of SX-Aurora TSUBASA for porting and optimizing Aldwin’s in-house software for American option pricing. The code is implemented in C++17 and designed to capitalize on the full capabilities of both scalar and vector architectures. It uses OpenMP to multithread the application, while the vectorization is implemented using the Eigen library.

Agenda Posted: Exacomm 2019 Workshop at ISC High Performance

“The goal of this workshop is to bring together researchers and software/hardware designers from academia, industry and national laboratories who are involved in creating network-based computing solutions for extreme scale architectures. The objectives of this workshop will be to share the experiences of the members of this community and to learn the opportunities and challenges in the design trends for exascale communication architectures.”

Microway Deploys NVIDIA DGX-2 Supercomputer at Clemson University

Today Microway announced the company has shipped a NVIDIA DGX-2 supercomputer to Clemson University. “The NVIDIA DGX-2 delivers industry-leading 2 petaFLOPS of AI deep learning performance. The system harnesses the power of 16 NVIDIA Tesla V100 GPUs, fully interconnected with the enhanced-bandwidth NVIDIA NVLink interface to boost the speed of deep learning training.”

Supermicro teams with WekaIO for Deep Learning Performance Density

The BigTwin Server featuring WekaFS offering is a milestone in our relationship with Supermicro,” said Barbara Murphy, Vice President of Marketing at WekaIO. “The solution is already in use by many customers with deep learning applications and exceeding expectations for performance and value. By offering this preconfigured solution with Supermicro, we’ll be able to simplify the customers’ acquisition experience.”