Jiaqi Lv, Xufeng He, Yanchen Liu, Xu Dai, Yang Hu, Shouyi Yin
Tags: AI, Benchmarking, Compilers, Computer science, CUDA, Deep learning, LLM, nVidia, nVidia A100, Package, performance portability
Paul Fuchs, Weilong Chen, Stephan Thaler, Julija Zavadlav
Tags: Chemistry, Computational Physics, Computer science, CUDA, Machine learning, Molecular dynamics, Neural networks, nVidia, nVidia A100, nVidia GH200, nVidia H100, Package, Physics
Hari Abram, Nikela Papadopoulou, Miquel Pericas
Aymeric Millan, Thomas Padioleau, Julien Bigot
Tags: AMD Radeon Instinct MI250X, ATI, Computer science, CUDA, FFT, Neural networks, nVidia, nVidia A100, Package, performance portability, SYCL
Ahmed Heakl, Sarim Hashmi, Gustavo Bertolo Stahl, Seung Hun Eddie Han, Salman Khan, Abdulrahman Mahmoud
Tags: AI, AMD Radeon RX 7900 XT, ATI, Computer science, CUDA, HIP, Machine learning, nVidia, nVidia A100, OpenCL, Package, Programming Languages, PTX
David van Balen, Tiziano De Matteis, Clemens Grelck, Troels Henriksen, Aaron W. Hsu, Gabriele K. Keller, Thomas Koopman, Trevor L. McDonell, Cosmin Oancea, Sven-Bodo Scholz, Artjoms Sinkarovs, Tom Smeding, Phil Trinder, Ivo Gabe de Wolff, Alexandros Nikolaos Ziogas
Tags: Benchmarking, Computer science, CUDA, HIP, N-body simulation, nVidia, nVidia A30, OpenCL, Package, Performance, performance portability, Programming Languages
Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Feifei Li
Gregory Bolet, Giorgis Georgakoudis, Harshitha Menon, Konstantinos Parasyris, Niranjan Hasabnis, Hayden Estes, Kirk W. Cameron, Gal Oren
