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CURFIL: Random Forests for Image Labeling on GPU

Hannes Schulz, Benedikt Waldvogel, Rasha Sheikh, Sven Behnke
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January 16, 2015 by hgpu

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Jorg Stuckler, Benedikt Waldvogel, Hannes Schulz, Sven Behnke
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December 9, 2013 by hgpu

Recent source codes

TVM: Open deep learning compiler stack for cpu, gpu and specialized accelerators

TVM: Open deep learning compiler stack for cpu, gpu and specialized accelerators

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
MyCaffe: A complete deep learning platform written almost entirely in C# for Windows developers

MyCaffe: A complete deep learning platform written almost entirely in C# for Windows developers

MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
ZUCL: A ZYNQ UltraScale+ Framework for OpenCL HLS Applications

ZUCL: A ZYNQ UltraScale+ Framework for OpenCL HLS Applications

ZUCL: A ZYNQ UltraScale+ Framework for OpenCL HLS Applications
CL-kmeans: Efficient k-Means in OpenCL

CL-kmeans: Efficient k-Means in OpenCL

Efficient and Scalable k-Means on GPUs
Doctor AI: Interpretable Deep Learning for Modeling Electronic Health Records

Doctor AI: Interpretable Deep Learning for Modeling Electronic Health Records

Doctor AI: Interpretable Deep Learning for Modeling Electronic Health Records
pyJac: a Python package that generates source code used to analytically calculate chemical kinetics Jacobian matrices

pyJac: a Python package that generates source code used to analytically calculate chemical kinetics Jacobian matrices

Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms
CUTLASS: CUDA Templates for Linear Algebra Subroutines

CUTLASS: CUDA Templates for Linear Algebra Subroutines

Implementing Strassen’s Algorithm with CUTLASS on NVIDIA Volta GPUs
Integer sorting on multicore

Integer sorting on multicore

A study of integer sorting on multicores
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