Topic: Resource and Workflow Management

As a high school baseball coach, LLNL software developer Chris Moussa understands the value of having teammates you can rely on, which is why he’s especially grateful for his “fantastic” team at work.

People Highlight

Merlin is an open-source workflow orchestration and coordination tool that makes it easy to build, run, and process large-scale workflows.

Project

Siting a supercomputer requires close coordination of hardware, software, applications, and Livermore Computing facilities.

News Item

The latest issue of Science & Technology Review highlights the R&D 100 award–winning Flux software framework.

News Item

This 2021 R&D 100 award-winning software solves data center bottlenecks by enabling resource types, schedulers, and framework services to be deployed as data centers evolve.

Project

The Advanced Technology Development and Mitigation program within the Exascale Computing Project shows that the best way to support the mission is through open collaboration and a sustainable software infrastructure.

News Item

LLNL participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

News Item

The Livermore Computing–developed Flux project addresses challenges posed by complex scientific research supercomputing workflows.

News Item

The Maestro Workflow Conductor is a lightweight, open-source Python tool that can launch multi-step software simulation workflows in a clear, concise, consistent, and repeatable manner.

Project

Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.

News Item

Highlights include complex simulation codes, uncertainty quantification, discrete event simulation, and the Unify file system.

News Item

Caliper enables users to build customized performance measurement and analysis solutions by connecting independent context annotations, measurement services, and data processing services.

Project

Cram lets you easily run many small MPI jobs within a single, large MPI job by splitting MPI_COMM_WORLD up into many small communicators to run each job in the cram file independently.

Project