Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Rescale Partners with Google Cloud and Azure to Offer Cloud HPC for COVID-19 Researchers

Today Rescale, in cooperation with Google Cloud and Microsoft Azure, announced a new program that immediately offers high performance computing resources at no cost to teams working to develop test kits and vaccines for COVID-19. “Those working on coronavirus vaccines and testing who would benefit from HPC in the cloud at no cost should apply at techagainstcovid.com. Researchers can rapidly run simulations in the cloud without setup time or IT teams using Rescale’s turnkey platform combined with cloud computing resources from Google Cloud Platform and Microsoft Azure.”

AMD Powers Azure HBv2 Virtual Machines for HPC Workloads

The AMD and Microsoft partnership continues to expand this week with the launch of Microsoft Azure NVv4 Virtual Machines. Powered by 2nd Gen AMD EPYC  Processors and AMD Radeon Instinct GPUs, the powerful new VMs are now generally available to customers in South Central US, East US, and West Europe regions, with additional regions planned for the coming months. “These VMs, the first in the industry to be powered by both AMD EPYC CPUs and Radeon Instinct GPUs, enable customers to scale virtual desktops in the cloud that support a variety of workloads.”

Azure HBv2 Virtual Machines eclipse 80,000 cores for MPI HPC

Today Microsoft announced general availability of Azure HBv2-series Virtual Machines designed to deliver leadership-class performance, message passing interface (MPI) scalability, and cost efficiency for a variety of real-world HPC workloads. “HBv2 VMs deliver supercomputer-class performance, message passing interface (MPI) scalability, and cost efficiency for a variety of real-world high performance computing (HPC) workloads, such as CFD, explicit finite element analysis, seismic processing, reservoir modeling, rendering, and weather simulation. Azure HBv2 VMs are the first in the public cloud to feature 200 gigabit per second HDR InfiniBand from Mellanox. 

Predictions for HPC in 2020

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

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

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

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.”

NVIDIA Announces GPU-Accelerated Supercomputer on Azure

At SC19, NVIDIA announced the availability of a new kind of GPU-accelerated supercomputer in the cloud on Microsoft Azure. “Built to handle the most demanding AI and high performance computing applications, the largest deployments of Azure’s new NDv2 instance rank among the world’s fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network.”

HPC in the Cloud Offers Flexible, Scalable Solutions for Enterprises and Research Institutions

In this guest article, our friends at Intel discuss how HPC as a Service (HPCaaS) reduces barriers to HPC and offers a cost-effective extension to on-premise solutions. High performance data analytics (HPDA), simulation and modeling, and artificial intelligence (AI) enable significant benefits like quicker business insights, the ability to design and bring products to market faster, or real-time monitoring of financial transactions for fraud.

Computational Evaluation of Cloud HPC with a Global Atmospheric Model

Daniel Arevalo from DeVine Consulting gave this talk at the HPC User Forum. “Prompted by DoD priorities for modernization, cost savings, and redundancy, this project compared the performance of the NAVGEM on an in-house Cray system against the follow cloud offerings: AWS c4.8xlarge, Penguin B30 queue, Azure H16r, and AWS c5n.18xlarge.”