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  Distributed Sparse Block Grids on GPUs.

Incardona, P., Bianucci, T., & Sbalzarini, I. F. (2021). Distributed Sparse Block Grids on GPUs. In High Performance Computing: 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings (pp. 272-290). Cham: Springer International Publishing.

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 Creators:
Incardona, Pietro1, Author           
Bianucci, Tommaso, Author
Sbalzarini, Ivo F.1, Author           
Affiliations:
1Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              

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 Abstract: We present a design and implementation of distributed sparse block grids that transparently scale from a single CPU to multi-GPU clusters. We support dynamic sparse grids as, e.g., occur in computer graphics with complex deforming geometries and in multi-resolution numerical simulations. We present the data structures and algorithms of our approach, focusing on the optimizations required to render them computationally efficient on CPUs and GPUs alike. We provide a scalable implementation in the OpenFPM software library for HPC. We benchmark our implementation on up to 16 Nvidia GTX 1080 GPUs and up to 64 Nvidia A100 GPUs showing state-of-the-art scalability (68% to 96% parallel efficiency) on three benchmark problems. On a single GPU, our implementation is 14 to 140-fold faster than on a multi-core CPU.

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 Dates: 2021-07-02
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-030-78713-4_15
Other: cbg-8080
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Title: International Conference on High Performance Computing (ISC)
Place of Event: online
Start-/End Date: 2021-06-24 - 2021-07-02

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Title: High Performance Computing : 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Cham : Springer International Publishing
Pages: - Volume / Issue: High Performance Computing : 36th International Conference, ISC High Performance 2021, Virtual Event, June 24 – July 2, 2021, Proceedings Sequence Number: - Start / End Page: 272 - 290 Identifier: ISBN: 978-3-030-78713-4