Today Univa announced that Mellanox has selected Univa’s Navops Launch to extend its on-premise EDA cluster to the cloud, providing Mellanox with cost-effective, on-demand capacity. “Mellanox Technologies provides high-performance solutions to a range of customers looking to innovate with intelligent, interconnected solutions for servers, storage and hyper-converged infrastructure,” said Doron Sayag, IT enterprise computing services senior manager at Mellanox Technologies. “Integrating an enterprise-grade cluster management tool like Navops Launch into our own on-premise data center allowed us to better address peak performance needs with seamless bursting of our HPC cluster to the cloud during tape-outs. By operating more efficiently, we get to provide our customers with exceptional products for years to come.”
New AI Performance Milestones with NVIDIA Volta GPU Tensor Cores
Over at the NVIDIA blog, Loyd Case shares some recent advancements that deliver dramatic performance gains on GPUs to the AI community. “We have achieved record-setting ResNet-50 performance for a single chip and single server with these improvements. Recently, fast.ai also announced their record-setting performance on a single cloud instance. A single V100 Tensor Core GPU achieves 1,075 images/second when training ResNet-50, a 4x performance increase compared to the previous generation Pascal GPU.”
Cavium ThunderX2 Processor goes GA for HPC and Beyond
Today Cavium announced the General Availability of ThunderX2, Cavium’s second generation of Armv8-A SoC processors. “Integrating ThunderX2 into the HPE Apollo 70 Servers is another example of HPE’s leadership in driving innovation and superior technical solutions into the HPC server market. The ThunderX2 processor provides excellent compute and memory performance that is critical for our HPE Apollo 70 customers and the applications they depend on.”
Quobyte Joins STAC Benchmark Council to help Financial Services Solve Storage Challenges
Today hyperscale storage provider Quobyte announced that it has accepted an invitation to join the Securities Technology Analysis Center (STAC) Benchmark Council, an influential group of technologists in the finance industry. “Quobyte provides massively scalable software storage to allow the industry to take advantage of the insights they can gain from the extensive amount of historical trading data they have collected,” said Björn Kolbeck, Quobyte’s CEO and Co-Founder. “We’ve found that Quobyte storage software running on a cluster of industry standard whitebox servers can significantly reduce time spent on backtesting — literally converting time saved into money.”
Job of the Week: Quantitative Software Engineer for High Frequency Trading
Two Sigma Investments in New York is seeking a Quantitative Software Engineer for High Frequency Trading in our Job of the Week. “We are seeking leading software engineers to join our dynamic, fast-paced high frequency team. Equal parts code experts and mathematical thinkers, our quantitative software engineers bring together technical and analytical expertise to grapple with difficult computational and data-related problems directly and implement efficient and innovative solutions. Entailing a sophisticated knowledge of algorithms, statistics, and high-performance computing, this effort has attracted ACM programming competition finalists, Top Coder contenders, and other highly technical, competitive problem solvers.”
The OpenFabrics Alliance 2018 Annual Workshop Recap
“The 14th Annual OpenFabrics Alliance (OFA) Workshop, held in scenic Boulder, Colorado, recently concluded its week-long, community-wide collaboration and dialogue on OpenFabrics. As the premier means of fostering lively discussions among those who develop fabrics, deploy fabrics, and create applications that rely on fabrics, the Workshop is the ideal venue for the OpenFabrics community and networking industry at large to identify and address the wide variety of emerging industry requirements and challenges that remain.”
HPC Market Update from Hyperion Research
In this video from the HPC User Forum in Tucson, Earl Joseph from Hyperion Research presents an HPC Market Update. “Hyperion Research is the new name for the former IDC high performance computing analyst team. As Hyperion Research, we continue all the worldwide activities that spawned the world’s most respected HPC industry analyst group.”
NVIDIA Simplifies Building Containers for HPC Applications
In this video, CJ Newburn from NVIDIA describes how users can benefit from running their workloads in the NVIDIA GPU Cloud. “A container essentially creates a self contained environment. Your application lives in that container along with everything the application depends on, so the whole bundle is self contained. NVIDIA is now offering a script as part of an open source project called HPC Container Maker, or HPCCM that makes it easy for developers to select the ingredients they want to go into a container, to provide those ingredients in an optimized way using best-known recipes.”
Seagate Storage Devices Achieve Common Criteria Certification for GDPR Security
Today Seagate announced that it has achieved Common Criteria (CC) certification across a broad portfolio of its Hard Disc Drives and SSDs, expanding on its existing Seagate Secure Certified Service Level. “Seagate remains committed to certified hardware security solutions and is proud to have worked with the international community for several years to develop the FDE Protection Profiles. We’re excited to now bring Common Criteria certified products to the market to meet our customer’s data security and data privacy requirements, as well as regional and international regulations,” said Monty Forehand, Product Security Officer at Seagate.
Announcing the Dell EMC AI Challenge
In this video from the Dell EMC HPC Community meeting, Shreya Shar and Onur Celebioglu from Dell describe the new Dell EMC AI Challenge. “Dell EMC invites you to participate in an AI Challenge! Abstracts and proposals will be accepted through May 31, 2018, and will be reviewed according to the following three criteria: Most innovative use of AI technology, Biggest economic or social impact, and Highest potential for commercialization.”
