Academic Journal
Static Graphs for Coding Productivity in OpenACC
| Title: | Static Graphs for Coding Productivity in OpenACC |
|---|---|
| Authors: | Toledo, Leonel, Valero Lara, Pedro, Vetter, Jeffrey, Peña, Antonio |
| Source: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Institute of Electrical and Electronics Engineers (IEEE) 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC) |
| Publisher Information: | IEEE, 2021. |
| Publication Year: | 2021 |
| Subject Terms: | Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Coding Productivity, Informàtica::Enginyeria del software [Àrees temàtiques de la UPC], Data Dependencies, 02 engineering and technology, OpenACC, C++/CLI (Computer program language), FORTRAN (Computer program language), Supercomputadors, C (Computer program language), Particle Swarm Optimization, 0202 electrical engineering, electronic engineering, information engineering, Static Graph, GPUs (Graphics processing units), Tasking |
| Description: | The main contribution of this work is to increase the coding productivity for GPU programming by using the concept of Static Graphs. To do so, we have combined the new CUDA Graph API with the OpenACC programming model. We use as test cases a well-known and widely used problems in HPC and AI: the Particle Swarm Optimization. We complement the OpenACC functionality with the use of CUDA Graph, achieving accelerations of more than one order of magnitude, and a performance very close to a reference and optimized CUDA code. Finally, we propose a new specification to incorporate the concept of Static Graphs into the OpenACC specification. This project has received funding from the EPEEC project from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No. 801051. |
| Document Type: | Article Conference object |
| File Description: | application/pdf |
| DOI: | 10.1109/hipc53243.2021.00050 |
| DOI: | 10.13039/100010661 |
| Rights: | IEEE Copyright |
| Accession Number: | edsair.doi.dedup.....c6e0db60de62e6a947f7d3c99a104098 |
| Database: | OpenAIRE |
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