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Emerging Architectures: A Performance Benchmark of Apple ARM Silicon for Groundwater Modeling.

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Title: Emerging Architectures: A Performance Benchmark of Apple ARM Silicon for Groundwater Modeling.
Authors: Hererra, Rodrigo1 (AUTHOR) roh@sgmco.cl
Source: Ground Water. May2026, Vol. 64 Issue 3, p258-262. 5p.
Subjects: ARM microprocessors, Groundwater analysis, Mathematical models, Parameter estimation, Parallel programming, Benchmark problems (Computer science)
Abstract: This article evaluates the performance of consumer ARM-based Apple Silicon hardware for computationally intensive groundwater modeling workflows using PEST (Parameter ESTimation) software. Benchmarking with the MODFLOW-USG Transport model demonstrates that Apple Silicon desktop clusters, such as Mac Mini M4 units, can match or exceed the parallel throughput of high-end 64-core ×86 workstations like the AMD Ryzen Threadripper 3990X, while offering advantages in cost, thermal stability, and power consumption. A practical deployment by SGM Co, a Chilean consultancy, illustrates the feasibility of building a 300+ core ARM cluster for real-world model calibration tasks. Limitations include the need for macOS/Linux command-line proficiency and potential compatibility issues with Windows-only proprietary tools, though emerging ARM processors for Windows may mitigate these barriers. [Extracted from the article]
Copyright of Ground Water is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
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DbLabel: Engineering Source
An: 193626502
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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IllustrationInfo
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  Data: Emerging Architectures: A Performance Benchmark of Apple ARM Silicon for Groundwater Modeling.
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  Data: <searchLink fieldCode="AR" term="%22Hererra%2C+Rodrigo%22">Hererra, Rodrigo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> roh@sgmco.cl</i>
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  Data: <searchLink fieldCode="JN" term="%22Ground+Water%22">Ground Water</searchLink>. May2026, Vol. 64 Issue 3, p258-262. 5p.
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  Data: <searchLink fieldCode="DE" term="%22ARM+microprocessors%22">ARM microprocessors</searchLink><br /><searchLink fieldCode="DE" term="%22Groundwater+analysis%22">Groundwater analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+programming%22">Parallel programming</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmark+problems+%28Computer+science%29%22">Benchmark problems (Computer science)</searchLink>
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  Label: Abstract
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  Data: This article evaluates the performance of consumer ARM-based Apple Silicon hardware for computationally intensive groundwater modeling workflows using PEST (Parameter ESTimation) software. Benchmarking with the MODFLOW-USG Transport model demonstrates that Apple Silicon desktop clusters, such as Mac Mini M4 units, can match or exceed the parallel throughput of high-end 64-core ×86 workstations like the AMD Ryzen Threadripper 3990X, while offering advantages in cost, thermal stability, and power consumption. A practical deployment by SGM Co, a Chilean consultancy, illustrates the feasibility of building a 300+ core ARM cluster for real-world model calibration tasks. Limitations include the need for macOS/Linux command-line proficiency and potential compatibility issues with Windows-only proprietary tools, though emerging ARM processors for Windows may mitigate these barriers. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ground Water is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1111/gwat.70061
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      – Code: eng
        Text: English
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        PageCount: 5
        StartPage: 258
    Subjects:
      – SubjectFull: ARM microprocessors
        Type: general
      – SubjectFull: Groundwater analysis
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Parameter estimation
        Type: general
      – SubjectFull: Parallel programming
        Type: general
      – SubjectFull: Benchmark problems (Computer science)
        Type: general
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      – TitleFull: Emerging Architectures: A Performance Benchmark of Apple ARM Silicon for Groundwater Modeling.
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              M: 05
              Text: May2026
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              Y: 2026
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