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Sylabs Launches Global Partner Program for HPC Containers

Today HPC startup Sylabs announced the launch of a new program for partners. The Sylabs Partner Program offers IT providers a licensing platform that they can use to deliver the commercially supported container platform SingularityPRO through their own sales channels. This includes access to signed package repositories, backported bug and security fixes, and a portfolio of services designed for the container ecosystem. In addition, the Sylabs Partner Program will provide support, training, certifications, and architectural practices to fit the specific needs of the partner and their customers.

Virtualizing AI & HPC Workloads with vSphere

In this video from the Dell EMC HPC Community Meeting, Josh Simons from VMware describes why more customers are moving their HPC & AI workloads to virtualized environments using vSphere. “With VMware, you can capture the benefits of virtualization for HPC workloads while delivering performance that is comparable to bare-metal. Our approach to virtualizing HPC adds a level of flexibility, operational efficiency, agility and security that cannot be achieved in bare-metal environments—enabling faster time to insights and discovery.”

UberCloud Publishes Compendium of Cloud HPC Case Studies

Our friends at the UberCloud have published the 2018 edition of their Compendium of Cloud HPC Case Studies. “The goal of the UberCloud Experiment is to perform engineering simulation experiments in the HPC cloud with real engineering applications in order to understand the roadblocks to success and how to overcome them. The Compendium is a way of sharing these results with the broader HPC community.”

Maximizing Performance of HiFUN* CFD Solver on Intel® Xeon® Scalable Processor With Intel MPI Library

The HiFUN CFD solver shows that the latest-generation Intel Xeon Scalable processor enhances single-node performance due to the availability of large cache, higher core density per CPU, higher memory speed, and larger memory bandwidth. The higher core density improves intra-node parallel performance that permits users to build more compact clusters for a given number of processor cores. This permits the HiFUN solver to exploit better cache utilization that contributes to super-linear performance gained through the combination of a high-performance interconnect between nodes and the highly-optimized Intel® MPI Library.

AWS Announces EC2 Bare Metal instances and C5D instances with local SSD Storage

HPC in the Cloud got a boost this week with this announcement of two updates to the Amazon EC2 instance family. EC2 Bare Metal instances provide customers’ applications with direct access to the processor and memory resources of the underlying server. C5D instances with local SSD storage are designed for applications that benefit from high-speed, ultra-low latency local storage, such as video encoding, manipulation, and other forms of media processing that often include large numbers of reads and writes to temporary storage.

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.”

Why UIUC Built HPC Application Containers for NVIDIA GPU Cloud

In this video from the GPU Technology Conference, John Stone from the University of Illinois describes how container technology in the NVIDIA GPU Cloud help the University distribute accelerated applications for science and engineering. “Containers are a way of packaging up an application and all of its dependencies in such a way that you can install them collectively on a cloud instance or a workstation or a compute node. And it doesn’t require the typical amount of system administration skills and involvement to put one of these containers on a machine.”

Video: VMware powers HPC Virtualization at NVIDIA GPU Technology Conference

In this video from from 2018 GPU Technology Conference, Ziv Kalmanovich from VMware and Fred Devoir from NVIDIA describe how they are working together to bring the benefits of virtualization to GPU workloads. “For cloud environments based on vSphere, you can deploy a machine learning workload yourself using GPUs via the VMware DirectPath I/O or vGPU technology.”

Singularity: The Inner Workings of Securely Running User Containers on HPC Systems

Michael Bauer from Sylabs gave this talk at FOSDEM’17. “This presentation will provide an in-depth look at how Singularity is able to securely run user containers on HPC systems. After a brief introduction to Singularity and its relationship to other container solutions, the details of Singularity’s runtime will be explored. The way that Singularity leverages Linux features such as namespaces, bind mounts, and SUID binaries will be discussed in further detail as well.”

Alces Flight: On Demand HPC now Available in the Azure Marketplace

Microsoft Azure customers worldwide now gain access to Alces Flight to take advantage of the scalability, reliability and agility of Azure. With Alces Flight, it is possible for researchers to spin up any size of High-Performance Computing cluster in minutes, providing users with a fully-featured HPC environment that includes thousands of open source applications.