Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866916230535839744 |
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| author | Tandon, Suyash Grinberg, Leopold Bercea, Gheorghe-Teodor Bertolli, Carlo Olesen, Mark Bnà, Simone Malaya, Nicholas |
| author_facet | Tandon, Suyash Grinberg, Leopold Bercea, Gheorghe-Teodor Bertolli, Carlo Olesen, Mark Bnà, Simone Malaya, Nicholas |
| contents | AMD Instinct$^\text{TM}$ MI300A is the world's first data center accelerated processing unit (APU) with memory shared between the AMD "Zen 4" EPYC$^\text{TM}$ cores and third generation CDNA$^\text{TM}$ compute units. A single memory space offers several advantages: i) it eliminates the need for data replication and costly data transfers, ii) it substantially simplifies application development and allows an incremental acceleration of applications, iii) is easy to maintain, and iv) its potential can be well realized via the abstractions in the OpenMP 5.2 standard, where the host and the device data environments can be unified in a more performant way. In this article, we provide a blueprint of the APU programming model leveraging unified memory and highlight key distinctions compared to the conventional approach with discrete GPUs. OpenFOAM, an open-source C++ library for computational fluid dynamics, is presented as a case study to emphasize the flexibility and ease of offloading a full-scale production-ready application on MI300 APUs using directive-based OpenMP programming. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_00436 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP Tandon, Suyash Grinberg, Leopold Bercea, Gheorghe-Teodor Bertolli, Carlo Olesen, Mark Bnà, Simone Malaya, Nicholas Distributed, Parallel, and Cluster Computing AMD Instinct$^\text{TM}$ MI300A is the world's first data center accelerated processing unit (APU) with memory shared between the AMD "Zen 4" EPYC$^\text{TM}$ cores and third generation CDNA$^\text{TM}$ compute units. A single memory space offers several advantages: i) it eliminates the need for data replication and costly data transfers, ii) it substantially simplifies application development and allows an incremental acceleration of applications, iii) is easy to maintain, and iv) its potential can be well realized via the abstractions in the OpenMP 5.2 standard, where the host and the device data environments can be unified in a more performant way. In this article, we provide a blueprint of the APU programming model leveraging unified memory and highlight key distinctions compared to the conventional approach with discrete GPUs. OpenFOAM, an open-source C++ library for computational fluid dynamics, is presented as a case study to emphasize the flexibility and ease of offloading a full-scale production-ready application on MI300 APUs using directive-based OpenMP programming. |
| title | Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2405.00436 |