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JSC Accelerating Devices Lab

Various notes from the Accelerating Devices Lab (X-Dev) of Jülich Supercomputing Centre
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The Supercomputing Conference 2023 took place in Denver, Colorado, from November 12th to 17th. For the Women in HPC workshop, we submitted a paper, which focused on benchmarking different accelerators for AI. The paper was accepted and I was invited to hold a lightning talk to show the work, spun off our OpenGPT-X project.

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** Poster in institute repository:** http://dx.doi.org/10.34734/FZJ-2023-03437 During the RISC-V Summit Europe 2023 in Barcelona we presented our work generating highly optimized RISC-V and ARM GEMM microkernels for BLIS using a custom software tool. 1 We presented results on the Fujitsu A64FX processor, the in-development RISC-V VEC processor from the EUPILOT project using an FPGA SDV (RVV 0.7.1, later RVV

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** Poster in institute repository:** http://dx.doi.org/10.34734/FZJ-2023-04519 At the ISC High Performance Conference 2023 a little while ago, we presented a project poster on the SCALABLE project, embedded at the end of this post. The work was also presented as a paper at the the Computing Frontiers 2023 conference previously.

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Environment Setup Enabling UCC in OpenMPI Enabling NCCL in UCC (Team Layer Selection) All The Variables Results 1. Plain OpenMPI 2. OpenMPI with UCC 3. OpenMPI with UCC+NCCL Scaling Plots Average Latency Bus Bandwidth Comparing MPI, UCC, UCC+NCCL Comparing UCC+NCCL, NCCL Summary Technical Details This post showcases how to use the highly optimized, GPU-based collectives of Nvidia’s (NCCL library) by using it as a UCC backend through MPI.

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** Poster publication:** http://hdl.handle.net/2128/34532 The ISC High Performance Conference 2023 was held at Hamburg, Germany from 21st May to 25th May. At the conference, we presented a project poster on the OpenGPT-X project, outlining the progress and initial exploration results. The poster was even featured in HPCWire’s May 24 recap of ISC within the AI segment!

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For a recent talk at DKRZ in the scope of the natESM project, I created a table summarizing the current state of using a certain programming model on a GPU of a certain vendor, for C++ and Fortran. Since it lead to quite a discussion in the session, I made a standalone version of it with some updates and elaborations here and there.

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TL;DR: I held a HPC intro talk. Slides are below. In MAELSTROM, we connect three areas of science: 🌍Weather and climate simulation with 🤖Machine Learning methods and workflows using 📈HPC techniques and resources . Halfway into the project, we held a boot camp at JSC to teach this Venn diagram to a group of students a few days ago. Some were ML experts, but had never used a HPC system.