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The Hyperion-insideHPC Interviews: Rich Brueckner and ECP’s Doug Kothe Talk Exascale, Containers of the Future and Multiple Machine Coordination

As director of the Exascale Computing Project (ECP), Doug Kothe leads one of the United State’s most important strategic computing efforts, one that promises significant impacts on scientific research and national competitiveness. The position draws upon Kothe’s more than three decades of experience as a physicist and computer scientist at several of the Department of […]

Sylabs releases SingularityPRO 3.5

Today Sylabs announced the release of SingularityPRO 3.5, a popular container platform for HPC, supercomputing, and AI. “SingularityPRO 3.5, released January 21st, 2020, brings exciting new features to the long-term professionally supported version of the container platform. Based on the open source 3.5.2 release, SingularityPRO will receive security and bug fixes for 3 years, making it an ideal solution for the business-driven needs of enterprise customers containerizing their compute workloads.”

Addressing the Scientific Reproducibility Crisis with Singularity

Michael Bauer from Sylabs gave this talk at the Perth HPC Conference. “Containers provide the means to encapsulate an application, its dependencies, data, and configurations, that allows for full mobility and reproducibility of the software stack. Containers have disrupted the Linux scene within the last few years because they have created a paradigm shift in what it means to package up and move applications and data.”

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. 

Towards Reproducible Data Analysis Using Cloud and Container Technologies

Sergio Maffioletti from the University of Zurich gave this talk at the hpc-ch forum on Cloud and Containers. “In this talk, we’ll provide an overview of the challenges faced by both research infrastructure providers and Science IT units, along with best practices to improve the reproducibility of data analysis using cloud and container technologies.”

How Singularity Containers can ease the Transition to RHEL 8

The general availability of Red Hat Enterprise Linux 8 was announced this week at the Red Hat Summit in Boston. In this special guest feature, Ian Lumb writes that the company’s Singularity containers can ease the transition to RHEL 8. “RHEL 8 is a transition over time, not a discrete event in time. Singularity containers preserve your heavily vested legacy deployments, while enabling you to make the transition on your terms.”

TACC Podcast Looks at the Challenges of Computational Reproducibility

In this TACC Podcast, Dan Stanzione and Doug James from the Texas Advanced Computing Center discuss the thorny issue of reproducibility in HPC. “Computational reproducibility is a subset of the broader and even harder topic of scientific reproducibility,” said Dan Stanzione, TACC’s executive director. “If we can’t get the exact same answer bit-for-bit, then what’s close enough? What’s a scientifically valid way to represent that? That’s what we’re after.”

Sylabs boosts HPC Containers with SingularityPRO 3.1

Today Sylabs announced the release of SingularityPRO 3.1 in what the company is calling a watershed moment for enterprise customers everywhere. “SingularityPRO 3.1 is the most highly anticipated release of our enterprise software ever,” said Gregory Kurtzer, founder and CEO of Sylabs. “With this release, we’re rapidly advancing container science, making it a truly opportune time for those seeking to containerize the most demanding enterprise performance computing workloads in the most trusted way.”

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!”