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GPA: A GPU Performance Advisor Based on Instruction Sampling
v1v2 (latest)

GPA: A GPU Performance Advisor Based on Instruction Sampling

IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2020
9 September 2020
K. Zhou
Xiaozhu Meng
R. Sai
John Mellor-Crummey
ArXiv (abs)PDFHTML

Papers citing "GPA: A GPU Performance Advisor Based on Instruction Sampling"

3 / 3 papers shown
Fake Runs, Real Fixes -- Analyzing xPU Performance Through Simulation
Fake Runs, Real Fixes -- Analyzing xPU Performance Through Simulation
Ioannis Zarkadas
Amanda Tomlinson
Asaf Cidon
Baris Kasikci
Ofir Weisse
163
0
0
18 Mar 2025
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool
  for Performance Profiling and Analysis of Deep Learning Workloads
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads
Qidong Zhao
Hao Wu
Yuming Hao
Zilingfeng Ye
Jiajia Li
Xu Liu
Keren Zhou
143
2
0
05 Nov 2024
Accelerating High-Order Stencils on GPUs
Accelerating High-Order Stencils on GPUsInternational Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (SHPCS), 2020
R. Sai
John Mellor-Crummey
Xiaozhu Meng
Mauricio Araya-Polo
Jie Meng
150
18
0
10 Sep 2020
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