A Simple Model for Portable and Fast Prediction of Execution Time and
Power Consumption of GPU Kernels

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A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels

20 January 2020

Vincent Heuveline

Holger Fröning

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Papers citing "A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels"

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Title
LLMPerf: GPU Performance Modeling meets Large Language Models Khoi N.M. Nguyen Hoang Duy Nguyen Do Huyen Thao Le T. Dao 82 0 0 14 Mar 2025
Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach Xiaoteng Liu Pavly Halim 67 0 0 25 Nov 2024
Tao: Re-Thinking DL-based Microarchitecture Simulation Santosh Pandey Amir Yazdanbakhsh Hang Liu AI4CE 77 3 0 16 Apr 2024
Part-time Power Measurements: nvidia-smi's Lack of Attention Zeyu Yang Karel Adámek Wesley Armour 33 5 0 05 Dec 2023
FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel Identification Wenqing Wu 20 0 0 17 Nov 2023
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU Mina Ashoury Mohammad Loni F. Khunjush Masoud Daneshtalab 35 1 0 11 Feb 2023