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hgpu.org » nVidia Quadro K 110 M

Portable, high-performance containers for HPC

Lucas Benedicic, Felipe A. Cruz, Alberto Madonna, Kean Mariotti
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April 15, 2017 by hgpu

Recent source codes

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
gloo: Collective communications library with various primitives for multi-machine training

gloo: Collective communications library with various primitives for multi-machine training

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

CELES: CUDA-accelerated simulation of electromagnetic scattering by large ensembles of spheres
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU
Boda: A C++ Framework for Efficient Experiments in Computer Vision [WIP]

Boda: A C++ Framework for Efficient Experiments in Computer Vision [WIP]

Implementing Efficient, Portable Computations for Machine Learning
Parallel and in-process compilation of individuals for genetic programming on GPU

Parallel and in-process compilation of individuals for genetic programming on GPU

Parallel and in-process compilation of individuals for genetic programming on GPU
ESPRESO: Highly Parallel Solvers for Engineering Applications

ESPRESO: Highly Parallel Solvers for Engineering Applications

Intel Xeon Phi acceleration of Hybrid Total FETI solver
MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Preprocessor
Internally-maintained tool for examining GPU scheduling behavior

Internally-maintained tool for examining GPU scheduling behavior

Inferring the Scheduling Policies of an Embedded CUDA GPU
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