Towards Performance-Portable, Scalable, and Convenient Linear Algebra. - Philippe Tillet; Karl Rupp; Siegfried Selberherr; Chin-Teng Lin (HotPar, 2013)

Performance portability study of linear algebra kernels in OpenCL. - Karl Rupp; Philippe Tillet; Florian Rudolf; Josef Weinbub; Tibor Grasser; Ansgar Jüngel (IWOCL, 2014)

ViennaCL - Linear Algebra Library for Multi- and Many-Core Architectures. - Karl Rupp; Philippe Tillet; Florian Rudolf; Josef Weinbub; Andreas Morhammer; Tibor Grasser; Ansgar Jüngel; Siegfried Selberherr (SIAM J. Sci. Comput., 2016)

Infomax-ICA using Hessian-free optimization. - Philippe Tillet; H. T. Kung 001; David D. Cox (ICASSP, 2017)

Input-aware auto-tuning of compute-bound HPC kernels. - Philippe Tillet; David D. Cox (SC, 2017)

Triton: an intermediate language and compiler for tiled neural network computations. - Philippe Tillet; Hsiang-Tsung Kung 001; David D. Cox (MAPL@PLDI, 2019)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Block-based GPU Programming with Triton. - Philippe Tillet (IPDPS (Workshops), 2024)