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HDR 200Gb/s InfiniBand Sees Major Growth on Latest TOP500 List

Today the InfiniBand Trade Association (IBTA) reported the latest TOP500 List results show that HDR 200Gb/s InfiniBand accelerates 31 percent of new InfiniBand-based systems on the List, including the fastest TOP500 supercomputer built this year. The results also highlight InfiniBand’s continued position in the top three supercomputers in the world and acceleration of six of the top 10 systems. Since the TOP500 List release in June 2019, InfiniBand’s presence has increased by 12 percent, now accelerating 141 supercomputers on the List.

NGD Systems Steps up with Arm Processors on SSDs at SC19

In this video from the Arm booth at SC19, Scott Shadley from NGD Systems describes the company’s innovative computational storage technology. “In a nutshell, Computational Storage is an IT architecture where data is processed at the storage device level to reduce the amount of data that has to move between the storage and compute planes. As such, the technology provides a faster and more efficient means to address the unique challenges of our data-heavy world – satisfying reduced excess bandwidth and providing very low latency response times by reducing data movement and allowing response for analytics as much as 20 to 40-times faster.”

GigaIO Wins Most Innovative New Product Award for Big Data

Today GigaIO announced that the company’s FabreX technology has been selected as the winner of Connect’s Most Innovative New Product Award for Big Data. The Most Innovative New Product Awards is an annual competition that recognizes San Diego industry leaders for their groundbreaking contributions to technology and life sciences sectors. “FabreX is a cutting-edge network architecture that drives the performance of data centers and high-performance computing environments. Featuring a unified, software-driven composable infrastructure, the fabric dynamically assigns resources to facilitate streamlined application deployment, meeting today’s growing demands of data-intensive programs such as Artificial Intelligence and Deep Learning. FabreX adheres to industry standard PCI Express (PCIe) technology and integrates computing, storage and input/output (IO) communication into a single-system cluster fabric for flawless server-to-server communication. Optimized with GPU Direct RDMA (GDR) and NVMe-oF, FabreX facilitates direct memory access by a server to the system memories of all other servers in the cluster, enabling native host-to- host communication to create the industry’s first in-memory network.”

Verne Global brings hpcDIRECT to Bonseyes AI Marketplace

Today Verne Global announced that is has partnered with the Bonseyes secure marketplace and collaborative platform for building and trading AI applications. The move will provide Bonseyes users with access to Verne Global’s hpcDIRECT optimized bare-metal infrastructure. “By collaborating with Verne Global, the Bonseyes marketplace users will be able to turn their competitive AI concepts into reality, knowing it is supported by a first-class, HPC-optimized data center and a skilled team of engineers and advisors.”

Data Scientist Thomas Thurston to speak at HPC User Forum in New Jersey

Venture Capitalist and Data Scientist Thomas Thurston is slated to speak at the upcoming HPC User Forum in Princeton, New Jersey. Thurston will give a talk titled, “Using HPC-enabled AI to Guide Investment Strategies for Finding and Funding Startups.” Thurston will describe how his fund is using technology to gain unique insights into early startups that otherwise disclose little or no public data. His discussion highlights counter-intuitive insights about what is, and what isn’t, predictive of new business success, along with a discussion of current challenges of analyzing potential startup investments and how companies are grappling with the promises and perils of executive decision making in a world of increasingly advanced computing.

Call for Papers: HPML2020 High Performance Machine Learning Workshop

The third High Performance Machine Learning Workshop has issued its Call for Papers. HPML2020 takes place May 11, 2020 in Melbourne, Australia in conjunction with CCGrid 2020. “This workshop is intended to bring together the Machine Learning (ML), Artificial Intelligence (AI) and High Performance Computing (HPC) communities. In recent years, much progress has been made in Machine Learning and Artificial Intelligence in general. This progress required heavy use of high performance computers and accelerators. Moreover, ML and AI have become a “killer application” for HPC and, consequently, driven much research in this area as well. These facts point to an important cross-fertilization that this workshop intends to nourish.”

GIGABYTE Steps up with a Broad Array of Server Offerings for AI & HPC

In this video from SC19, Peter Hanley from GIGABYTE describes how the company delivers a full range of server solutions for HPC, AI, and the Edge. “GIGABYTE is an industry leader in HPC, delivering systems with the highest GPU density combined with excellent cooling performance, power efficiency and superior networking flexibility. These systems can provide massive parallel computing capabilities to power your next AI breakthrough.”

AMD Readies EPYC for Exascale with ROCm at SC19

In this video from SC19, Derek Bouius from AMD describes how the company’s new EPYC processors and Radeon GPUs can speed HPC and Ai applications. With its EPYC processors, Radeon Instinct accelerators, Infinity Fabric technologies, and ROCm open software, AMD is building an Exascale ecosystem for heterogeneous compute. “Community support for the pre-exascale software ecosystem continues to grow. This ecosystem is built on ROCm, the foundational open source components for GPU compute provided by AMD.”

Microway Deploys NVIDIA DGX-1 and NumberSmasher GPU Server to Vyasa Analytics

Today Microway the deployment of an NVIDIA DGX-1 supercomputer and Microway NumberSmasher Tesla GPU Server to deep-learning leader Vyasa Analytics. The new hardware enables Vyasa Analytics’ next phase of growth. “These systems have enabled us to branch out into a number of R&D areas that were really critical for us to be able to innovate and build out new types of deep learning approaches,” says Dr. Christopher Bouton, founder and CEO of Vyasa Analytics. “As a company working in the deep learning space, we see Microway and NVIDIA® as key partners in our ability to build innovative novel deep learning algorithms for a wide range of content types.”

Podcast: SCR Scalable Checkpoint/Restart Paves the Way for Exascale

A software product called the Scalable Checkpoint/Restart (SCR) Framework 2.0 recently won an R&D 100 Award. In this episode, Elsa Gonsiorowski and Kathryn Mohror of LLNL discuss what SCR does, the challenges involved in creating it, and the impact it is expected to have in HPC. “SCR enables HPC simulations to take advantage of hierarchical storage systems, without complex code modifications. With SCR, the input/output (I/O) performance of scientific simulations can be improved by orders of magnitude.”