What is recorded here?
Introduced tile-level tensor-program abstractions and compiler optimizations to generate efficient GPU kernels for neural-network computation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Original 2019 system used a C-based language and tile IR; the later OpenAI Python-like release is not backdated or separately counted here. Efficient kernels are not guaranteed for every workload.
Read the original work
- Triton: an intermediate language and compiler for tiled neural network computations
- Tillet, Kung and Cox: Triton tile-oriented neural-network compiler — institutional research record
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People and systems
Philippe Tillet; H. T. Kung; David Cox
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
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English catalogue narrative
Tillet, Kung and Cox: Triton tile-oriented neural-network compiler
Introduced tile-level tensor-program abstractions and compiler optimizations to generate efficient GPU kernels for neural-network computation.
Scientific scope
Original 2019 system used a C-based language and tile IR; the later OpenAI Python-like release is not backdated or separately counted here. Efficient kernels are not guaranteed for every workload.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Philippe Tillet; H. T. Kung; David Cox
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.