XTC, A Research Platform for Optimizing AI Workload Operators
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866917154091171840 |
|---|---|
| author | Hugo, Pompougnac Christophe, Guillon Sylvain, Noiry Alban, Dutilleul Guillaume, Iooss Fabrice, Rastello |
| author_facet | Hugo, Pompougnac Christophe, Guillon Sylvain, Noiry Alban, Dutilleul Guillaume, Iooss Fabrice, Rastello |
| contents | Achieving high efficiency on AI operators demands precise control over computation and data movement. However, existing scheduling languages are locked into specific compiler ecosystems, preventing fair comparison, reuse, and evaluation across frameworks. No unified interface currently decouples scheduling specification from code generation and measurement. We introduce XTC, a platform that unifies scheduling and performance evaluation across compilers. With its common API and reproducible measurement framework, XTC enables portable experimentation and accelerates research on optimization strategies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_16512 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | XTC, A Research Platform for Optimizing AI Workload Operators Hugo, Pompougnac Christophe, Guillon Sylvain, Noiry Alban, Dutilleul Guillaume, Iooss Fabrice, Rastello Performance Artificial Intelligence Achieving high efficiency on AI operators demands precise control over computation and data movement. However, existing scheduling languages are locked into specific compiler ecosystems, preventing fair comparison, reuse, and evaluation across frameworks. No unified interface currently decouples scheduling specification from code generation and measurement. We introduce XTC, a platform that unifies scheduling and performance evaluation across compilers. With its common API and reproducible measurement framework, XTC enables portable experimentation and accelerates research on optimization strategies. |
| title | XTC, A Research Platform for Optimizing AI Workload Operators |
| topic | Performance Artificial Intelligence |
| url | https://arxiv.org/abs/2512.16512 |