1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2025
tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection
Ryan Swann, Muhammad Osama, Xiaohu Guo +8
We present tritonBLAS, a fast and deterministic analytical model that uses architectural parameters like the cache hierarchy, and relative code and data placement to generate perfo…
cs.DC2018★ 1 cited
Data-parallel distributed training of very large models beyond GPU capacity
Samuel Matzek, Max Grossman, Minsik Cho +3
GPUs have limited memory and it is difficult to train wide and/or deep models that cause the training process to go out of memory. It is shown in this paper how an open source tool…