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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

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

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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

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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