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WekaIO Partners with HPE to Develop All-Flash Storage for HPC and AI

Today WekaIO announced a partnership with HPE to deliver integrated flash-based parallel file system capabilities that can significantly accelerate compute-intensive workloads. The WekaIO Matrix software-defined storage solution is validated for deployment within HPE environments – including the HPE Apollo Gen10 System platform that delivers rich capabilities for high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML) use cases.

Rescale & X-ISS offer Professional Services for HPC Cloud Migration

Today Rescale announced a partnership with X-ISS to offer professional services to enterprises migrating HPC workloads to the cloud. “At X-ISS, we are very excited to partner with Rescale to eliminate the compute ceilings and queuing wait times that our customers sometimes deal with. Together, X-ISS and Rescale will provide a comprehensive HPC solution and services that will delight our joint customers,” said Deepak Khosla at X-ISS.

Univa Grid Engine adds UberCloud Parallel MPI to Docker Containers

Today Univa announced the integration of UberCloud parallel application containers with Univa Grid Engine. In May of last year, Univa, a leading innovator of workload management products, announced the availability of Docker software container support with its Grid Engine 8.4.0 product, enabling enterprises to automatically dispatch and run jobs in Docker containers, from a user specified Docker image, on a Univa Grid Engine cluster.

“The Ultimate Trading Machine” from Penguin Computing sets Record for Low Latency

The world of High Frequency Trading is all about reducing latency to make money. At the recent STAC Summit in Chicago, a Penguin Computing device called The Ultimate Trading Machine achieved a record-low 98 nanosecond tick-to-trade latency, some 18% faster than the previous world record. “Facing tremendous pressures to optimize the transaction lifecycle, the financial services industry helps drive innovations in many core technologies. At Penguin Computing, we empower our customers with with open technology solutions that achieve performance requirements while keeping costs low and avoiding vendor lock-in. We are proud to join with our partners to deliver this Ultimate Trading Machine.”

Banshee Makes DRAM Cache up to 50 percent more efficient

Researchers from MIT, Intel, and ETH Zurich have developed a new cache-management scheme that improves the data rate of in-package DRAM caches by 33 to 50 percent. “The bandwidth in this in-package DRAM can be five times higher than off-package DRAM,” says Xiangyao Yu, a postdoc in MIT’s Computer Science and Artificial Intelligence Laboratory and first author on the new paper. “But it turns out that previous schemes spend too much traffic accessing metadata or moving data between in- and off-package DRAM, not really accessing data, and they waste a lot of bandwidth. The performance is not the best you can get from this new technology.”

Cray Supercomputing Comes to Microsoft Azure

Today Cray announced a partnership with Microsoft to offer dedicated Cray supercomputing systems in Microsoft Azure. Under the partnership agreement, Microsoft and Cray will jointly engage with customers to offer dedicated Cray supercomputing systems in Microsoft Azure datacenters to enable customers to run AI, advanced analytics, and modeling and simulation workloads at unprecedented scale, seamlessly connected to the Azure cloud.

Comet Supercomputer Assists in Latest LIGO Discovery

This week’s landmark discovery of gravitational and light waves generated by the collision of two neutron stars eons ago was made possible by a signal verification and analysis performed by Comet, an advanced supercomputer based at SDSC in San Diego. “LIGO researchers have so far consumed more than 2 million hours of computational time on Comet through OSG – including about 630,000 hours each to help verify LIGO’s findings in 2015 and the current neutron star collision – using Comet’s Virtual Clusters for rapid, user-friendly analysis of extreme volumes of data, according to Würthwein.”

MareNostrum Supercomputer to contribute 475 million core hours to European Research

Today the Barcelona Supercomputing Centre announced plans to allocate 475 million core hours of its supercomputer MareNostrum to 17 research projects as part of the PRACE initiative. Of all the nations participating in PRACE’s recent Call for Proposals, Spain is now the leading contributor of compute hours to European research.

Introducing the European EXDCI initiative for HPC

“The European Extreme Data & Computing Initiative (EXDCI) objective is to support the development and implementation of a common strategy for the European HPC Ecosystem. One of the main goals of the meeting in Bologna was to set up a roadmap for future developments, and for other parties who would like to participate in HPC research.”

Intel Joins Open Neural Network Exchange

Jason Knight from Intel writes that the company has joined Microsoft, Facebook, and others to participate in the Open Neural Network Exchange (ONNX) project. “By joining the project, we plan to further expand the choices developers have on top of frameworks powered by the Intel Nervana Graph library and deployment through our Deep Learning Deployment Toolkit. Developers should have the freedom to choose the best software and hardware to build their artificial intelligence model and not be locked into one solution based on a framework. Deep learning is better when developers can move models from framework to framework and use the best hardware platform for the job.”