high performance computing on graphics processing units: hgpu.org

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Performance models for CPU-GPU data transfers

B. van Werkhoven, J. Maassen, F.J. Seinstra, H.E. Bal

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Tags: Computer science, CUDA, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, PCIe, Performance, Performance prediction, Tesla K20

June 5, 2014 by bennotsi

llvm2KITTeL

Termination Analysis for GPU Kernels

shwirl: Meaningful colouring of spectral cube data with volume rendering

Real-time colouring and filtering with graphics shaders

QuadricCurvature

A Fast Method For Computing Principal Curvatures From Range Images

entropy-sgd: Lua implementation of Entropy-SGD

Parle: parallelizing stochastic gradient descent

LightGBM-GPU: GPU Accelerated LightGBM for Histogram-based GBDT Training

GPU-acceleration for Large-scale Tree Boosting

Snowflake: A Lightweight Portable Stencil DSL

Snowflake: A Lightweight Portable Stencil DSL

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

OpenAdSCL

Scalar collapse in AdS with an OpenCL open source code

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

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