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Documents authored by Muttillo, Vittoriano

Artifact
Software
DOI: 10.4230/artifacts.22912
SLIDE-x (System-Level Infrastructure for HW/SW Dataset E-xtraction)

Authors: Vittoriano Muttillo and Vincenzo Stoico

Abstract
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Vittoriano Muttillo, Vincenzo Stoico. SLIDE-x (System-Level Infrastructure for HW/SW Dataset E-xtraction) (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-22912,
   title = {{SLIDE-x (System-Level Infrastructure for HW/SW Dataset E-xtraction)}}, 
   author = {Muttillo, Vittoriano and Stoico, Vincenzo},
   note = {Software, version 1.0., AIDOaRt grant agreement No. 10100735, MATISSE grant agreement No. 101140216, swhId: \href{https://archive.softwareheritage.org/swh:1:rev:0907cf39f7d023d0dc2e8307e1ffef6115d0377a;origin=https://github.com/hepsycode/SLIDE-x;visit=swh:1:snp:d73c612114afc6dff6a86a042fa006576440f5ec}{\texttt{swh:1:rev:0907cf39f7d023d0dc2e8307e1ffef6115d0377a}} (visited on 2025-02-27)},
   url = {https://github.com/hepsycode/SLIDE-x},
   doi = {10.4230/artifacts.22912},
}
Document
DOI: 10.4230/OASIcs.PARMA-DITAM.2025.3
System-Level Timing Performance Estimation Based on a Unifying HW/SW Performance Metric

Authors: Vittoriano Muttillo, Vincenzo Stoico, Giacomo Valente, Marco Santic, Luigi Pomante, and Daniele Frigioni

Published in: OASIcs, Volume 127, 16th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 14th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2025)

Abstract
The rapidly increasing complexity of embedded systems and the critical impact of non-functional requirements demand the adoption of an appropriate system-level HW/SW co-design methodology. This methodology tries to satisfy all design requirements by simultaneously considering several alternative HW/SW implementations. In this context, early performance estimation approaches are crucial in reducing the design space, thereby minimizing design time and cost. To address the challenge of system-level performance estimation, this work presents and formalizes a novel approach based on a unifying HW/SW performance metric for early execution time estimation. The proposed approach estimates the execution time of a C function when executed by different HW/SW processor technologies. The approach is validated through an extensive experimental study, demonstrating its effectiveness and efficiency in terms of estimation error (i.e., lower than 10%) and estimation time (close to zero) when compared to existing methods in the literature.
Cite as

Vittoriano Muttillo, Vincenzo Stoico, Giacomo Valente, Marco Santic, Luigi Pomante, and Daniele Frigioni. System-Level Timing Performance Estimation Based on a Unifying HW/SW Performance Metric. In 16th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 14th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2025). Open Access Series in Informatics (OASIcs), Volume 127, pp. 3:1-3:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{muttillo_et_al:OASIcs.PARMA-DITAM.2025.3,
  author =	{Muttillo, Vittoriano and Stoico, Vincenzo and Valente, Giacomo and Santic, Marco and Pomante, Luigi and Frigioni, Daniele},
  title =	{{System-Level Timing Performance Estimation Based on a Unifying HW/SW Performance Metric}},
  booktitle =	{16th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 14th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2025)},
  pages =	{3:1--3:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-363-8},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{127},
  editor =	{Cattaneo, Daniele and Fazio, Maria and Kosmidis, Leonidas and Morabito, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2025.3},
  URN =		{urn:nbn:de:0030-drops-229071},
  doi =		{10.4230/OASIcs.PARMA-DITAM.2025.3},
  annote =	{Keywords: embedded systems, hw/sw co-design, performance estimation, lasso, machine learning}
}
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