Launched last December, Amazon Web Services today announced general availability of its sixth generation of Amazon Elastic Compute Cloud (EC2) instances, with three new instances powered by AWS-designed, Arm-based Graviton2 processors, that the company said delivers 40 percent better price/performance over current x86-based instances.
AWS: GA of Arm-based Instances Boost Price/Performance 40% for HPC, Inferencing Workloads
June 11, 2020 by Leave a Comment
Agenda Posted for OpenFabrics Virtual Workshop
May 8, 2020 by
The OpenFabrics Alliance (OFA) has opened registration for its OFA Virtual Workshop, taking place June 8-12, 2020. This virtual event will provide fabric developers and users an opportunity to discuss emerging fabric technologies, collaborate on future industry requirements, and address today’s challenges. “The OpenFabrics Alliance is committed to accelerating the development of high performance fabrics. This virtual event will provide fabric developers and users an opportunity to discuss emerging fabric technologies, collaborate on future industry requirements, and address challenges.”
HPC in the Cloud: Innovating Without Infrastructure Constraints
March 10, 2020 by
In this video from Big Compute 2020, Barry Bolding from AWS shows how high performance computing in the cloud has been enabling innovation — without infrastructure constraints — across multiple industries. “Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.”
Predictions for HPC in 2020
February 17, 2020 by
In this special guest feature from Scientific Computing World, Laurence Horrocks-Barlow from OCF predicts that containerization, cloud, and GPU-based workloads are all going to dominate the HPC environment in 2020. “Over the last year, we’ve seen a strong shift towards the use of cloud in HPC, particularly in the case of storage. Many research institutions are working towards a ‘cloud first’ policy, looking for cost savings in using the cloud rather than expanding their data centres with overheads, such as cooling, data and cluster management and certification requirements.”
Second GPU Cloudburst Experiment Paves the Way for Large-scale Cloud Computing
February 13, 2020 by
Researchers at SDSC and the Wisconsin IceCube Particle Astrophysics Center have successfully completed a second computational experiment using thousands of GPUs across Amazon Web Services, Microsoft Azure, and the Google Cloud Platform. “We drew several key conclusions from this second demonstration,” said SDSC’s Sfiligoi. “We showed that the cloudburst run can actually be sustained during an entire workday instead of just one or two hours, and have moreover measured the cost of using only the two most cost-effective cloud instances for each cloud provider.”
Big Compute 20 Conference Announces Speaker Lineup
February 6, 2020 by
Today the Big Compute Conference announced sponsors and speakers for its inaugural event, held February 11-12, 2020 in San Francisco. The two-day conference will feature business leaders and scientists describing how they are transforming their industries with access to unlimited cloud compute. “Big Compute 20 brings together thought leaders in aerospace, automotive, AI, biotech, medical, academic, technology, and chemical industries. In addition to inspiring talks, the event will feature workshops, networking, panels and a hackathon sprint, all focused on the freedom to think big.”
AMD Readies EPYC for Exascale with ROCm at SC19
December 9, 2019 by
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.”
WekaIO Rocks the IO500 at SC19
December 6, 2019 by
In this video from SC19, Charla Bunton-Johnson & Mat Gruen from WekaIO describe the company’s high performance shared file system and how they closely with industry-leading technology resellers, distributors, service providers, and integrators to maximize performance and business opportunity. “At the show, Weka announced that it has been awarded the first-place ranking on the IO-500 Challenge, rankings that compare storage systems that work in tandem with the world’s largest supercomputers. The Weka File System (WekaFS) running on AWS set a record on the IO-500 benchmark.
D-Wave Expands Leap API into Amazon Braket
December 4, 2019 by
Today D-Wave Systems announced the expansion of the Leap API into Amazon Braket, a new, fully managed Amazon Web Services (AWS) solution that allows scientists, researchers, and developers to begin experimenting with computers from quantum hardware providers in a single place. The service, announced today at AWS re:Invent 2019, gives AWS users live cloud access to D-Wave’s 2000Q quantum processor via the Leap quantum cloud service API. Customers and developers will be able to leverage D-Wave’s processing power in real time to run quantum applications directly from Amazon Braket. This access will extend to forthcoming D-Wave systems, such as the next-generation Advantage, coming in mid-2020.
Amazon Braket to offer Multivendor Quantum Computing Service
December 3, 2019 by
Today AWS announced Amazon Braket, a fully managed service that enables scientists, researchers, and developers to begin experimenting with computers from quantum hardware providers (including D-Wave Systems, IonQ, and Rigetti) in a single place. The quantum service is one of three key initiatives as a part of the company’s plans to help advance quantum computing technologies. “As a fully managed service, Braket makes it possible for customers to get started on quantum computing by providing a single development environment to build quantum algorithms, test them on simulated quantum computers, and try them on a range of different quantum hardware architectures.”
