The goal of this work is to derive input parameters which yield the minimum execution time for matrix-based computations executing on a GPU. Input parameters ...
Feb 22, 2020 · Andrew White, Soo-Young Lee: Derivation of optimal input parameters for minimizing execution time of matrix-based computations on a GPU.
The execution metrics are utilized to derive the optimal input parameters which are input parameters that yield the minimum computation time. The matrix-based ...
Derivation of Optimal Input Parameters for Minimizing Execution Time of Matrix-based Computations on a GPU. Article. Dec 2014; PARALLEL COMPUT.
ˆ from the execution metrics, derive the optimal input parameters for the GPU,. ˆ determine the optimal partitioning of computation between the CPU and GPU,.
Jul 24, 2023 · I was running inference on a llama-2 7b with vLLM and getting around 5 sec latency on an A10G GPU, I think the input context length at the time ...
Missing: matrix- based
Dec 15, 2009 · Matrix Multiply is very FLOP/compute intensive, making it an ideal candidate to be run on GPUs. cuBLAS and MAGMA are good candidates for this.
Nov 6, 2022 · Derivation of optimal input parameters for minimizing execution time of matrix-based computations on a GPU. Input parameters are the size of ...
Jan 16, 2024 · Derivation of Optimal Input Parameters for Minimizing Execution Time of Matrix-based Computations on a GPU. Article. Dec 2014; PARALLEL COMPUT.
Jan 31, 2021 · I have a complex matrix M and need to iterate over many steps, changing the entries of M on each iteration. The exact operations applied to ...