Extrae.jl: Julia bindings for the Extrae HPC Profiler
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912331398643712 |
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| author | Sanchez-Ramirez, Sergio Giordano, Mosè |
| author_facet | Sanchez-Ramirez, Sergio Giordano, Mosè |
| contents | The Julia programming language has gained acceptance within the High-Performance Computing (HPC) community due to its ability to tackle two-language problem: Julia code feels as high-level as Python but allows developers to tune it to C-level performance. But to squeeze every drop of performance, Julia needs to integrate with advanced performance analysis tools, also known as profilers. In this work, we present Extrae.jl, a Julia package to interface with the Extrae profiler. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_12087 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Extrae.jl: Julia bindings for the Extrae HPC Profiler Sanchez-Ramirez, Sergio Giordano, Mosè Distributed, Parallel, and Cluster Computing Performance The Julia programming language has gained acceptance within the High-Performance Computing (HPC) community due to its ability to tackle two-language problem: Julia code feels as high-level as Python but allows developers to tune it to C-level performance. But to squeeze every drop of performance, Julia needs to integrate with advanced performance analysis tools, also known as profilers. In this work, we present Extrae.jl, a Julia package to interface with the Extrae profiler. |
| title | Extrae.jl: Julia bindings for the Extrae HPC Profiler |
| topic | Distributed, Parallel, and Cluster Computing Performance |
| url | https://arxiv.org/abs/2504.12087 |