Academic Journal
GPU Simulation Acceleration via Parallelization
| Title: | GPU Simulation Acceleration via Parallelization |
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| Authors: | Huerta Gañán, Rodrigo, González Colás, Antonio María |
| Source: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) 2025 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) |
| Publisher Information: | IEEE, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, GPGPU, GPU, Parallelization, OpenMP, GPGPU-Sim, Microarchitecture, Accel-sim, Simulation |
| Description: | —Simulating modern GPU architectures with increased core counts and recent workloads can be challenging, even on powerful computing platforms. In this paper, we present a simple approach to parallelize Accel-sim with minimal code changes using OpenMP. In addition, we introduce PaSSMA, a novel technique to optimize the OpenMP for-loop scheduler performance in the different simulated workloads. Moreover, our parallelization technique is deterministic, so the simulator provides exactly the same results for single-threaded and multithreaded simulations. When we run the simulator with 16 CPU cores, we achieve an average speed-up of 6.4x and reach 10x in some workloads. This work has been supported by the CoCoUnit ERC Advanced Grant of the EU’s Horizon 2020 program (grant No 833057), the Spanish State Research Agency (MCIN/AEI) under grant PID2020-113172RB-I00, the Catalan Agency for University and Research (AGAUR) under grant 2021SGR00383, and the ICREA Academia program |
| Document Type: | Article Conference object |
| File Description: | application/pdf |
| DOI: | 10.1109/ispass64960.2025.00054 |
| Access URL: | https://hdl.handle.net/2117/440535 https://doi.org/10.1109/ispass64960.2025.00054 |
| Rights: | STM Policy #29 |
| Accession Number: | edsair.doi.dedup.....66abf0d4d05d216dc3a621a9f4f41b3d |
| Database: | OpenAIRE |
| DOI: | 10.1109/ispass64960.2025.00054 |
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