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Optimization of the Gaussian Mixture Model Evaluation on GPU

Jan Vanek, Jan Trmal, Josef V. Psutka, Josef Psutka

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 260, OpenCL, Optimization, Speech recognition

October 4, 2011 by hgpu

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Jungsuk Kim, Kisun You, Wonyong Sung

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Tags: CUDA, nVidia, nVidia GeForce GTX 285, Signal processing, Speech recognition

July 17, 2011 by hgpu

Kernelized Renyi distance for speaker recognition

Balaji Vasan Srinivasan, Ramani Duraiswami, Dmitry N. Zotkin

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Tags: Acoustics, CUDA, nVidia, nVidia GeForce GTX 280, Signal processing, Speech recognition

July 4, 2011 by hgpu

Parallel implementation of artificial neural network training

S. Scanzio, S. Cumani, R. Gemello, F. Mana, P. Laface

Tags: Acoustics, CUDA, Neural networks, nVidia, Signal processing, Speech recognition

June 14, 2011 by hgpu

Fast acoustic computations using graphics processors

Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui

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Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing, Speech recognition

December 25, 2010 by hgpu

Harnessing graphics processors for the fast computation of acoustic likelihoods in speech recognition

Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui

Tags: Acoustics, CUDA, nVidia, Signal processing, Speech recognition

November 27, 2010 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Optimization of the Gaussian Mixture Model Evaluation on GPU

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Kernelized Renyi distance for speaker recognition

Parallel implementation of artificial neural network training

Fast acoustic computations using graphics processors

Harnessing graphics processors for the fast computation of acoustic likelihoods in speech recognition

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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