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A Simple Model for Portable and Fast Prediction of Execution Time and
  Power Consumption of GPU Kernels
v1v2v3 (latest)

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

ACM Transactions on Architecture and Code Optimization (TACO) (TACO), 2020
20 January 2020
Lorenz Braun
S. Nikas
Chen Song
Vincent Heuveline
Holger Fröning
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
LLMPerf: GPU Performance Modeling meets Large Language Models
LLMPerf: GPU Performance Modeling meets Large Language ModelsIEEE/ACM International Symposium on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS), 2024
Khoi N.M. Nguyen
Hoang Duy Nguyen Do
Huyen Thao Le
T. Dao
235
2
0
14 Mar 2025
Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A
  Machine Learning-Based Analytical Approach
Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach
Xiaoteng
Liu
Pavly Halim
231
1
0
25 Nov 2024
Tao: Re-Thinking DL-based Microarchitecture Simulation
Tao: Re-Thinking DL-based Microarchitecture Simulation
Santosh Pandey
Amir Yazdanbakhsh
Hang Liu
AI4CE
366
7
0
16 Apr 2024
Part-time Power Measurements: nvidia-smi's Lack of Attention
Part-time Power Measurements: nvidia-smi's Lack of AttentionInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Zeyu Yang
Karel Adámek
Wesley Armour
309
30
0
05 Dec 2023
FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel
  Identification
FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel Identification
Wenqing Wu
285
1
0
17 Nov 2023
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
Mina Ashoury
Mohammad Loni
F. Khunjush
Masoud Daneshtalab
203
4
0
11 Feb 2023
1
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