2 Search Results for "Denisov, Lev"

Document
DOI: 10.4230/OASIcs.PARMA-DITAM.2024.4
Precision Tuning the Rust Memory-Safe Programming Language

Authors: Gabriele Magnani, Lev Denisov, Daniele Cattaneo, Giovanni Agosta, and Stefano Cherubin

Published in: OASIcs, Volume 116, 15th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 13th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2024)

Abstract
Precision tuning is an increasingly common approach for exploiting the tradeoff between energy efficiency or speedup, and accuracy. Its effectiveness is particularly strong whenever the maximum performance must be extracted from a computing system, such as embedded platforms. In these contexts, current engineering practice sees a dominance of memory-unsafe programming languages such as C and C++. However, the unsafe nature of these languages has come under great scrutiny as it leads to significant software vulnerabilities. Hence, safer programming languages which prevent memory-related bugs by design have been proposed as a replacement. Amongst these safer programming languages, one of the most popular has been Rust. In this work we adapt a state-of-the-art precision tuning tool, TAFFO, to operate on Rust code. By porting the PolyBench/C benchmark suite to Rust, we show that the effectiveness of the precision tuning is not affected by the use of a safer programming language, and moreover the safety properties of the language can be successfully preserved. Specifically, using TAFFO and Rust we achieved up to a 15× speedup over the base Rust code, thanks to the use of precision tuning.
Cite as

Gabriele Magnani, Lev Denisov, Daniele Cattaneo, Giovanni Agosta, and Stefano Cherubin. Precision Tuning the Rust Memory-Safe Programming Language. In 15th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 13th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2024). Open Access Series in Informatics (OASIcs), Volume 116, pp. 4:1-4:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{magnani_et_al:OASIcs.PARMA-DITAM.2024.4,
  author =	{Magnani, Gabriele and Denisov, Lev and Cattaneo, Daniele and Agosta, Giovanni and Cherubin, Stefano},
  title =	{{Precision Tuning the Rust Memory-Safe Programming Language}},
  booktitle =	{15th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 13th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2024)},
  pages =	{4:1--4:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-307-2},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{116},
  editor =	{Bispo, Jo\~{a}o and Xydis, Sotirios and Curzel, Serena and Sousa, Lu{\'\i}s Miguel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2024.4},
  URN =		{urn:nbn:de:0030-drops-196989},
  doi =		{10.4230/OASIcs.PARMA-DITAM.2024.4},
  annote =	{Keywords: Approximate Computing, Memory Safety, Precision Tuning}
}
Document
DOI: 10.4230/OASIcs.PARMA-DITAM.2022.5
Precision Tuning in Parallel Applications

Authors: Gabriele Magnani, Lev Denisov, Daniele Cattaneo, and Giovanni Agosta

Published in: OASIcs, Volume 100, 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2022)

Abstract
Nowadays, parallel applications are used every day in high performance computing, scientific computing and also in everyday tasks due to the pervasiveness of multi-core architectures. However, several implementation challenges have so far stifled the integration of parallel applications and automatic precision tuning. First of all, tuning a parallel application introduces difficulties in the detection of the region of code that must be affected by the optimization. Moreover, additional challenges arise in handling shared variables and accumulators. In this work we address such challenges by introducing OpenMP parallel programming support to the TAFFO precision tuning framework. With our approach we achieve speedups up to 750% with respect to the same parallel application without precision tuning.
Cite as

Gabriele Magnani, Lev Denisov, Daniele Cattaneo, and Giovanni Agosta. Precision Tuning in Parallel Applications. In 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2022). Open Access Series in Informatics (OASIcs), Volume 100, pp. 5:1-5:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

Copy BibTex To Clipboard

@InProceedings{magnani_et_al:OASIcs.PARMA-DITAM.2022.5,
  author =	{Magnani, Gabriele and Denisov, Lev and Cattaneo, Daniele and Agosta, Giovanni},
  title =	{{Precision Tuning in Parallel Applications}},
  booktitle =	{13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2022)},
  pages =	{5:1--5:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-231-0},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{100},
  editor =	{Palumbo, Francesca and Bispo, Jo\~{a}o and Cherubin, Stefano},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2022.5},
  URN =		{urn:nbn:de:0030-drops-161210},
  doi =		{10.4230/OASIcs.PARMA-DITAM.2022.5},
  annote =	{Keywords: Compilers, Parallel Programming, Precision Tuning}
}
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  • 2 Agosta, Giovanni
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  • 2 Denisov, Lev
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  • 2 Software and its engineering → Compilers
  • 1 Computer systems organization → Embedded software
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  • 1 Theory of computation → Parallel computing models

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  • 2 Precision Tuning
  • 1 Approximate Computing
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