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A closer look at GPUs

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Kayvon Fatahalian,

Mike HoustonAuthors Info & Claims

Communications of the ACM, Volume 51, Issue 10

Pages 50 - 57

https://doi.org/10.1145/1400181.1400197

Published: 01 October 2008 Publication History

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Abstract

As the line between GPUs and CPUs begins to blur, it's important to understand what makes GPUs tick.

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Mohammadian SKumar ASong C(2025)A multi-GPU based high-performance computing framework in elastodynamics simulation using octree meshesComputer Methods in Applied Mechanics and Engineering10.1016/j.cma.2024.117723436(117723)Online publication date: Mar-2025
https://doi.org/10.1016/j.cma.2024.117723
Marwala TMarwala T(2024)CPUs Versus GPUsThe Balancing Problem in the Governance of Artificial Intelligence10.1007/978-981-97-9251-1_9(137-152)Online publication date: 13-Nov-2024
https://doi.org/10.1007/978-981-97-9251-1_9
Khan TNazaripouya H(2023)Analyzing the Implementation of the Newton Raphson Based Power Flow Formulation in CPU+GPU Computing Environment2023 North American Power Symposium (NAPS)10.1109/NAPS58826.2023.10318707(1-5)Online publication date: 15-Oct-2023
https://doi.org/10.1109/NAPS58826.2023.10318707
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A closer look at GPUs

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Published In

Communications of the ACM Volume 51, Issue 10

October 2008

130 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1400181

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2008

Published in CACM Volume 51, Issue 10

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Mohammadian SKumar ASong C(2025)A multi-GPU based high-performance computing framework in elastodynamics simulation using octree meshesComputer Methods in Applied Mechanics and Engineering10.1016/j.cma.2024.117723436(117723)Online publication date: Mar-2025
https://doi.org/10.1016/j.cma.2024.117723
Marwala TMarwala T(2024)CPUs Versus GPUsThe Balancing Problem in the Governance of Artificial Intelligence10.1007/978-981-97-9251-1_9(137-152)Online publication date: 13-Nov-2024
https://doi.org/10.1007/978-981-97-9251-1_9
Khan TNazaripouya H(2023)Analyzing the Implementation of the Newton Raphson Based Power Flow Formulation in CPU+GPU Computing Environment2023 North American Power Symposium (NAPS)10.1109/NAPS58826.2023.10318707(1-5)Online publication date: 15-Oct-2023
https://doi.org/10.1109/NAPS58826.2023.10318707
Wang XZhang W(2023)Build Energy-Efficient GPU Computing Environment for Machine Learning Algorithms with Register File Packing Technique2023 IEEE High Performance Extreme Computing Conference (HPEC)10.1109/HPEC58863.2023.10363476(1-7)Online publication date: 25-Sep-2023
https://doi.org/10.1109/HPEC58863.2023.10363476
Shu YTang ZYue SWen YChen M(2023)A reinterpreted-texture strategy for rendering point symbols based on graphics processing unitCartography and Geographic Information Science10.1080/15230406.2023.222145450:4(403-420)Online publication date: 22-Jun-2023
https://doi.org/10.1080/15230406.2023.2221454
Bielawski RBarwey SPrakash SRaman V(2023)Highly-scalable GPU-accelerated compressible reacting flow solver for modeling high-speed flowsComputers & Fluids10.1016/j.compfluid.2023.105972265(105972)Online publication date: Oct-2023
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(2022)BibliographyAn Introduction to Parallel Programming10.1016/B978-0-12-804605-0.00016-6(459-461)Online publication date: 2022
https://doi.org/10.1016/B978-0-12-804605-0.00016-6
Pacheco PMalensek M(2022)Where to go from hereAn Introduction to Parallel Programming10.1016/B978-0-12-804605-0.00015-4(455-457)Online publication date: 2022
https://doi.org/10.1016/B978-0-12-804605-0.00015-4
Sanida TSideris ADasygenis M(2020)Accelerating the AES Algorithm using OpenCL2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)10.1109/MOCAST49295.2020.9200240(1-4)Online publication date: Sep-2020
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Lin CLiu JYang P(2020)Performance Enhancement of GPU Parallel Computing Using Memory Allocation Optimization2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001771(1-5)Online publication date: Jan-2020
https://doi.org/10.1109/IMCOM48794.2020.9001771
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Recommendations

Brook for GPUs: stream computing on graphics hardware

GPUs: A Closer Look: As the line between GPUs and CPUs begins to blur, it’s important to understand what makes GPUs tick.

LU Decomposition on GPUs: The Impact of Memory Access

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