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perf4sight: A toolflow to model CNN training performance on Edge GPUs

Aditya Rajagopal, Christos-Savvas Bouganis

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Tags: AI, Computer science, CUDA, Neural networks, nVidia, nVidia Jetson TX2, Package, Performance, Tesla P40

August 22, 2021 by hgpu

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Songxiang Liu, Yuewen Cao, Na Hu, Dan Su, Helen Meng

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Tags: Computer science, nVidia, Speech recognition, Tesla P40

November 15, 2020 by hgpu

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

Shaohuai Shi, Xiaowen Chu

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Tags: Algorithms, Benchmarking, Caffe, Computer science, CUDA, Deep learning, MPI, Neural networks, nVidia, Package, Performance, TensorFlow, Tesla P40, Torch

November 26, 2017 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

perf4sight: A toolflow to model CNN training performance on Edge GPUs

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

Recent source codes

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MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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