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Micron Acquires Machine Learning Startup from Purdue

Micron has acquired FWDNXT, a machine learning software and hardware startup that spun out of Purdue. Micron is integrating FWDNXT’s artificial intelligence hardware and software technology with its advanced memory to explore deep learning solutions for data analytics, particularly in IoT and edge computing. “Purdue provided the entrepreneurial resources to help me achieve my vision of taking our work on machine learning and deep learning technology to a much wider audience where we can have a bigger impact,” said Eugenio Culurciello, Micron fellow and chief machine learning architect.

Latest Release of Intel Parallel Studio XE Delivers New Features to Boost HPC and AI Performance

Intel Parallel Studio XE is a complete software development suite that includes highly optimized compilers and math and data analytics libraries, along with comprehensive tools for performance analysis, application debugging, and parallel processing. It’s available as a download for Windows, Linux, and MacOS. “With this release, the focus is on making it easier for HPC and AI developers to deliver fast and reliable parallel code for the most demanding applications.”

Podcast: Applying Deep Learning to Extreme Weather

“A research team from Rice University utilized three supercomputers (TACC’s Stampede 2, Wrangler, and Pittsburg Supercomputing Center’s Bridges system) to see if data on heat waves and cold spells could be predicted by analysis of atmospheric circulation and prior surface temperature. The results of these tests indicated that this deep learning approach is more accurate at predicting extreme weather.”

NEC X and VACO Partner on AI/ML Solution using Vector Computing

Today the NEC X innovation accelerator announced a new reference design and services offering with VACO that enables enterprises to more confidently comply with personally identifiable information (PII) data governance regulations such as GDPR. Based on the NEC X’s SX-Aurora TSUBASA AI platform, the reference design uses vector processing to provide supercomputing performance on a compact PCIe x16 card. This AI platform runs VACO’s proven Cognitive Computing Framework and can be scaled with the exact number of vector engine (VE) cards needed to process large data sets in real time, for use in machine learning (ML) applications such as PII redaction and GDPR compliance for banking, financial services and insurance (BFSI), as well as several other segments.

12.8 Tbps Mellanox Spectrum-3 Ethernet Switches Optimized for Cloud, Storage, and AI

Today Mellanox announced it has commenced shipments of SN4000 Ethernet switches. The SN4000 family is powered by Mellanox Spectrum-3 – the world’s best performing, most scalable, and most flexible 12.8 Tbps Ethernet switch ASIC, which is optimized for Cloud, Ethernet Storage Fabric, and AI interconnect applications. SN4000 platforms come in flexible form-factors supporting a combination of up to 32 ports of 400GbE, 64 ports of 200GbE and 128 ports of 100/50/25/10GbE. The SN4000 platforms complement the 200/400GbE SN3000 leaf switches to form an efficient and high bandwidth leaf/spine network.

Video: Next Generation AMD CPU and Accelerator Technologies

Bradley McCredie from AMD gave this talk at the Rice Oil & Gas Conference. “While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications.”

ORNL Enlists #1 Summit Supercomputer to Combat Coronavirus

Researchers at ORNL used the Summit supercomputer to identify 77 small-molecule drug compounds that might warrant further study in the fight against the SARS-CoV-2 coronavirus, which is responsible for the COVID-19 disease outbreak. “The two researchers performed simulations on Summit of more than 8,000 compounds to screen for those that are most likely to bind to the main “spike” protein of the coronavirus, rendering it unable to infect host cells.”

Prof Simon See receives Singapore HPC Pioneer & Achievement Award

Prof Simon See from the NVIDIA AI Technology Center has received the Singapore HPC Pioneer & Achievement Award from SupercomputingAsia conference series. Dr. See was recognized for his efforts in setting up the first NVAITC in Singapore and driving HPC in AI locally and globally. “The SCA Awards are an opportunity for the HPC community to recognize individuals who have contributed significantly in one way or another or who have been instrumental in the development of the HPC ecosystem in Singapore and regionally.”

Video: Overview of the Fujitsu A64fx processor

This video from Coreteks provides an overview of the Fujitsu A64FX processor that will power the pending Fugaku supercomputer in Japan. “The A64FX is a many core CPU like AMD Epyc or Intel’s Xeons, but at the same time it behaves like a GPU in some workloads matching NVIDIA’s most powerful offering, Volta. Today we’ll look at how this chip operates, why it could challenge Intel, AMD, NVIDIA and cloud and hyperscalers and what it could mean for us PC enthusiasts.”

Applications Open for “Advancing Cancer Biology at the Frontiers of Machine Learning” Innovation Lab

The National Cancer Institute (NCI) in collaboration with Carnegie Mellon University, and Knowinnovation are convening experts in cancer systems biology, mathematical modeling and machine learning to come together, share ideas, form new collaborative teams, and propose and refine interdisciplinary pilot projects. The Innovation Lab “Advancing Cancer Biology at the Frontiers of Machine Learning and Mechanistic Modeling” will be held on June 1-5, 2020.