GTPin: Enhancing Intel® GPU Profiling With High-Level Binary Instrumentation

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Hauptverfasser: Levit-Gurevich, Konstantin, Skaletsky, Alex, Geller, Ortal, Goren, Moshe, Ziadat, Rawan, Burstein, Rami, Oved, Tal
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2026
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author Levit-Gurevich, Konstantin
Skaletsky, Alex
Geller, Ortal
Goren, Moshe
Ziadat, Rawan
Burstein, Rami
Oved, Tal
author_facet Levit-Gurevich, Konstantin
Skaletsky, Alex
Geller, Ortal
Goren, Moshe
Ziadat, Rawan
Burstein, Rami
Oved, Tal
contents <p>This artifact contains the code used to reproduce the results presented in the paper "GTPin: Enhancing Intel GPU Profiling With High-Level Binary Instrumentation" accepted to 2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS '26).</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19107208
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle GTPin: Enhancing Intel® GPU Profiling With High-Level Binary Instrumentation
Levit-Gurevich, Konstantin
Skaletsky, Alex
Geller, Ortal
Goren, Moshe
Ziadat, Rawan
Burstein, Rami
Oved, Tal
Dynamic Binary Instrumentation
GPU
Intel
Profiling
GTPin
<p>This artifact contains the code used to reproduce the results presented in the paper "GTPin: Enhancing Intel GPU Profiling With High-Level Binary Instrumentation" accepted to 2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS '26).</p>
title GTPin: Enhancing Intel® GPU Profiling With High-Level Binary Instrumentation
topic Dynamic Binary Instrumentation
GPU
Intel
Profiling
GTPin
url https://doi.org/10.5281/zenodo.19107208