The Persistent Challenge of Data Locality in the Post-Exascale Era

The era of exascale computing, exemplified by systems like Frontier, achieving exaflop-level performance marks a milestone. However, the quest for sheer compute power leads to strong imbalance in system design. Hence, scaling advancements in memory, network bandwidth, and storage are also necessary and poses challenges, with a crucial need to address data locality issues. This paper underscores the fundamental importance of data locality as a key abstraction for optimizing application performance. Despite notable software solutions, the growing complexity of parallelism and memory hierarchy demands performance portable data locality solutions across diverse computing platforms. The manuscript revisits data locality aspects, covering hardware considerations, application perspectives, software stack abstractions and tool support. It concludes with insights into data locality challenges and opportunities, emphasizing the ongoing significance of collaborative research for progress in this critical issue.

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Publication Details

Journal
Computing in Science & Engineering
Published
2025-05-07
DOI
https://doi.org/10.1109/mcse.2025.3567586
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The Persistent Challenge of Data Locality in the Post-Exascale Era

Emmanuel Jeannot, John Shalf, Didem Unat, Anshu Dubey
Computing in Science & Engineering
Big Data Technologies and Applications
article

The Persistent Challenge of Data Locality in the Post-Exascale Era

Emmanuel Jeannot, John Shalf, Didem Unat, Anshu Dubey
article en

Abstract

The era of exascale computing, exemplified by systems like Frontier, achieving exaflop-level performance marks a milestone. However, the quest for sheer compute power leads to strong imbalance in system design. Hence, scaling advancements in memory, network bandwidth, and storage are also necessary and poses challenges, with a crucial need to address data locality issues. This paper underscores the fundamental importance of data locality as a key abstraction for optimizing application performance. Despite notable software solutions, the growing complexity of parallelism and memory hierarchy demands performance portable data locality solutions across diverse computing platforms. The manuscript revisits data locality aspects, covering hardware considerations, application perspectives, software stack abstractions and tool support. It concludes with insights into data locality challenges and opportunities, emphasizing the ongoing significance of collaborative research for progress in this critical issue.

Computing in Science & EngineeringVol. 27(4)
Argonne National Laboratory (US), Institut national de recherche en sciences et technologies du numérique (FR), Koç University (TR), Lawrence Berkeley National Laboratory (US), Université de Bordeaux (FR), Laboratoire Bordelais de Recherche en Informatique (FR)
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Big Data Technologies and Applications
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