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Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations

  • Published:2023-10 Issue: Volume:147 Page:149-162
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Rościszewski Paweł,Krzywaniak Adam,Iserte SergioORCID,Rojek Krzysztof,Gepner PawełORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference54 articles.

1. Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure;Huerta;Big Data,2020

2. Simulation intelligence: Towards a new generation of scientific methods;Lavin,2021

3. Is disaggregation possible for HPC cognitive simulation?;Wyatt,2021

4. AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing;Rojek,2021

5. A survey of neural network accelerators;Li;Front. Comput. Sci.,2017

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1. Enhancing a Digital Twin With a Multizone Combustion Model for Pollutant Emissions Estimation and Engine Operational Optimization;Advances in Logistics, Operations, and Management Science;2024-04-05

2. Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures;Lecture Notes in Computer Science;2024

3. Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12
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