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| 001 | 916416 | ||
| 005 | 20250822121435.0 | ||
| 024 | 7 | _ | |a 10.34732/XDVBLG-RMLYC3 |2 doi |
| 037 | _ | _ | |a FZJ-2022-06216 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Herten, Andreas |0 P:(DE-Juel1)145478 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a First Benchmarks with AMD Instinct MI250 GPUs at JSC |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Text |2 DataCite |
| 336 | 7 | _ | |a Communication |b comm |m comm |0 PUB:(DE-HGF)4 |s 1671691735_17299 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Other |2 DINI |
| 336 | 7 | _ | |a Personal Communication |0 4 |2 EndNote |
| 520 | _ | _ | |a A few months ago, we extended the JURECA Evaluation Platform at JSC by two nodes with AMD Instinct MI250 GPUs (four GPUs each). The nodes are Gigabyte G262-ZO0 servers, each with a dual socket AMD EPYC 7443 processor (24 cores per socket, SMT-2) and with four MI250 GPUs (128 GB memory). We've deployed the nodes somewhat silently in the spring and are polishing them and getting to know them ever since. Starting off with a pre-GA software stack, by now we run the publicly available ROCm 5.2. There are still some minor issues with the nodes, but the GPUs themselves are running reasonably well to finally show some very basic benchmarks! |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a 5122 - Future Computing & Big Data Systems (POF4-512) |0 G:(DE-HGF)POF4-5122 |c POF4-512 |f POF IV |x 1 |
| 536 | _ | _ | |a ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV) |0 G:(DE-Juel-1)ATML-X-DEV |c ATML-X-DEV |x 2 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a X-Dev |2 Other |
| 650 | _ | 7 | |a AMD |2 Other |
| 773 | _ | _ | |a 10.34732/XDVBLG-RMLYC3 |
| 909 | C | O | |o oai:juser.fz-juelich.de:916416 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)145478 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-512 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Supercomputing & Big Data Infrastructures |9 G:(DE-HGF)POF4-5122 |x 1 |
| 914 | 1 | _ | |y 2022 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a comm |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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