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Job of the Week: Virtualization Infrastructure Engineer at PSC

The Pittsburgh Supercomputing Center is seeking a Virtualization Infrastructure Engineer in our Job of the Week. “In this role, you will primarily be responsible for developing and maintaining the infrastructure to deploy and maintain fleets of hosts (physical and virtual), containers and services for the variety of project-based resources PSC operates and have a hand in planning new directions.”

Decoupling EDA Toolchains from the OS with Singularity Containers

Singularity containers introduce a compelling means for unlocking the implied dependency between application toolchains and operating system. By encapsulating everything but the kernel in a single file, Singularity containers decouple the runtime and allow it to be highly portable in a trusted way. 

Video: NAG Launches HPC Cost of Ownership Calculator

In this video, Mike Croucher from NAG demonstrates the company’s new Total Cost of Ownership Calculator for HPC. “Should your next HPC procurement be on-premise or in the cloud? This is one of the questions that our clients ask us to help with and part of the answer involves Total Cost of Ownership of the resulting facility. This calculator is provided as a working example of a TCO model.”

SingularityPRO comes to Google Cloud

Today Sylabs announced a multi-phase collaboration with Google Cloud as a technology partner. Aimed at systematically addressing enterprise requirements in a cloud-native fashion, the first phase of the collaboration will be based upon availability of Sylabs’ SingularityPRO via the Google Cloud Platform Marketplace. “Singularity is a widely adopted container runtime that implements a unique security model to mitigate privilege escalation risks, and provides a platform to capture a complete application environment into a single file.”

Accelerating Machine Learning on VMware vSphere with NVIDIA GPUs

Mohan Potheri from VMware gave this talk at Stanford HPC Conference. “This session introduces machine learning on vSphere to the attendee and explains when and why GPUs are important for them. Basic machine learning with Apache Spark is demonstrated. GPUs can be effectively shared in vSphere environments and the various methods of sharing are addressed here.”

Singularity: Container Workflows for Compute

Greg Kurtzer from Sylabs gave this talk at the Stanford HPC Conference. “Singularity is a widely adopted container technology specifically designed for compute-based workflows making application and environment reproducibility, portability and security a reality for HPC and AI researchers and resources. Here we will describe a high-level overview of Singularity and demonstrate how to integrate Singularity containers into existing application and resource workflows as well as describe some new trending models that we have been seeing.”

Video: Container Mythbusters

Michael Jennings from LANL gave this talk at the Stanford HPC Conference. “As containers initially grew to prominence within the greater Linux community, particularly in the hyperscale/cloud and web application space, there was very little information out there about using Linux containers for HPC at all. In this session, we’ll confront this problem head-on by clearing up some common misconceptions about containers, bust some myths born out of misunderstanding and marketing hype alike, and learn how to safely (and securely!) navigate the Linux container landscape with an eye toward what the future holds for containers in HPC and how we can all get there together!”

Video: HPC Containers – Democratizing HPC

In this video from SC18 in Dallas, CJ Newburn from NVIDIA describes how developers can quickly containerize their applications and how users can benefit from running their workloads with containers from 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.”

VMware Powers Machine Learning & HPC Workloads

In this video from SC18 in Dallas, Ziv Kalminovich from VMware describes how the company’s powerful virtualization capabilities bring flexibility and performance to HPC workloads. “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.”

Sylabs Tunes Singularity 3.0 Containers for Machine Learning

Today Sylabs announced that it has released a new version of its innovative container software: Singularity 3.0. With new enterprise-class features, Singularity is now the premier container runtime solution, enabling your company to seamlessly and efficiently tackle today’s most demanding AI, machine learning, and advanced analytic workloads. “Lenovo and Sylabs have collaborated for over two years around a shared vision of producing lightweight HPC containers that are flexible, secure, and reproducible, while also delivering performance that is equal to native OS performance.”