Programming

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OpenCL-Z Android Released on Google Play

Robert Wang

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Tags: Android, OpenCL

April 14, 2015 by lanshan317

GPU-based digital hologram reconstruction and particle detection

Daniel Benjamin Taylor

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Tags: Computer holography, Computer science, CUDA, nVidia, Tesla K20, Thesis

April 12, 2015 by hgpu

Framework for Batched and GPU-resident Factorization Algorithms Applied to Block Householder Transformations

Azzam Haidar, Tingxing "Tim" Dong, Stanimire Tomov, Piotr Luszczek, Jack Dongarra

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, nVidia, Tesla K40

April 12, 2015 by hgpu

Batched Matrix Computations on Hardware Accelerators

Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40

April 12, 2015 by hgpu

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Wim Vanderbauwhede

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Weather prediction, Weather Prediction Model

April 12, 2015 by hgpu

Robust real time face recognition and tracking on gpu using fusion of rgb and depth image

Narmada Naik, G.N Rathna

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Tags: Algorithms, ATI, ATI Radeon HD 7670 M, Computer science, Computer vision, Face detection, OpenCL, OpenCV

April 12, 2015 by hgpu

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications

Mohamed Wahib, Naoya Maruyama

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Tags: CUDA, Stencil computation

April 9, 2015 by wahibium

Finite element numerical integration for first order approximations on multi-core architectures

Krzysztof Banas, Filip Kruzel, Jan Bielanski

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Tags: Algorithms, Computer science, Intel Xeon Phi, Mathematical Software, nVidia, OpenCL, Tesla K20

April 8, 2015 by hgpu

GPU Accelerated Strong and Branching Bisimilarity Checking

Anton Wijs

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla K20

April 8, 2015 by hgpu

Enhancing Fluid Modeling with Turbulence and Acceleration

Chen Fan

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C1060, Thesis

April 8, 2015 by hgpu

Benchmarking the cost of thread divergence in CUDA

Piotr Bialas, Adam Strzelecki

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GT 610, nVidia GeForce GT 755 M, nVidia GeForce GTX 480, nVidia GeForce GTX 650 M, nVidia GeForce GTX 770, nVidia GeForce GTX 850 M, Performance

April 8, 2015 by hgpu

clRNG: A Random Number API with Multiple Streams for OpenCL

Pierre L'Ecuyer, David Munger, Nabil Kemerchou

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Tags: Algorithms, AMD Radeon R7 240, ATI, ATI Radeon HD 7970, Computer science, OpenCL, Pseudo-random number generators

April 7, 2015 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

OpenCL-Z Android Released on Google Play

GPU-based digital hologram reconstruction and particle detection

Framework for Batched and GPU-resident Factorization Algorithms Applied to Block Householder Transformations

Batched Matrix Computations on Hardware Accelerators

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Robust real time face recognition and tracking on gpu using fusion of rgb and depth image

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications

Finite element numerical integration for first order approximations on multi-core architectures

GPU Accelerated Strong and Branching Bisimilarity Checking

Enhancing Fluid Modeling with Turbulence and Acceleration

Benchmarking the cost of thread divergence in CUDA

clRNG: A Random Number API with Multiple Streams for OpenCL

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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