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Published March 8, 2026 | Version v1
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GTPin: Enhancing Intel® GPU Profiling With High-Level Binary Instrumentation

Description

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).

Files

GTPin-ispass2026-main.zip

Files (733.0 kB)

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md5:5d4a74233c887ef9f1e4f1eaf9089b3f
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Additional details

Software

Repository URL
https://github.com/intel/GTPin-ispass2026
Programming language
C++ , Python
Development Status
Active