Chapel HPC

Open-source Chapel projects categorized as HPC

High Performance Computing. Scientists, engineers, and researchers use high performance computing (HPC) for incredibly computationally intensive tasks, like those used in weather forecasting, oil and gas exploration, physics, quantum mechanics, and other areas.

While HPC can be run on a single system, its real power comes from connecting multiple HPC nodes into a cluster, which may also be called a supercomputer. This provides the capabilities to compute extreme-scale simulations that are not feasible or even possible on a single system.

Chapel HPC Projects

  • chapel

    a Productive Parallel Programming Language

    Project mention: Introduction to GPU Programming in Chapel | news.ycombinator.com | 2024-01-16

    Thanks, @subharmonicon!

    While Chapel can run on many different systems, the main goal is making HPC programming much easier. Therefore, we are currently focusing on hardware that you can find in HPC systems (NVIDIA, AMD and Intel). Metal doesn't fall into that category, unfortunately. So far, the name came up infrequently in our discussions IIRC (especially targetting SPIRV), but we haven't heard from any [potential] user who may be interested in it. I would encourage you or anybody else interested in it to create an issue asking for the feature: https://github.com/chapel-lang/chapel/issues/new. Seeing public interest in that direction can change our prioritization.

    One thing that I wanted to add that's not in the blogpost is the "cpu-as-device" mode. With that mode, you can use any machine, even one without a GPU, to write applications using Chapel's GPU features. That mode is for those who want to do initial development/debugging on their personal laptops before putting their application on an HPC system. In other words, while you can't use Metal directly, you can still write GPU-enabled applications in your Mac using Chapel, if the end goal is to run it on an HPC system. More details on cpu-as-device: https://chapel-lang.org/docs/main/technotes/gpu.html#cpu-as-...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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