high performance computing on graphics processing units: hgpu.org

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Implementing Open-Source CUDA Runtime

Shinpei Kato

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Tags: Computer science, CUDA, nVidia, Operating systems, Package

January 23, 2013 by hgpu

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Billy L. Edge, Margery F. Overton, Robert A. Dalrymple, Alexis Herault, Giuseppe Bilotta, M. Onur Kurum, Kevin Gamiel

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Tags: CUDA, Earth and Space Sciences, Fluid dynamics, nVidia, Package

January 17, 2013 by hgpu

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels

Peter Collingbourne, Alastair F. Donaldson, Jeroen Ketema, Shaz Qadeer

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Package

January 15, 2013 by hgpu

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Jacek Kustra, Andrei Jalba, Alexandru Telea

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 330 M, OpenGL, Package, Stereo vision

January 11, 2013 by hgpu

Long Timestep Molecular Dynamics on the Graphical Processing Unit

James C. Sweet, Ronald J. Nowling, Trevor Cickovski, Christopher R. Sweet, Vijay S. Pande, Jesus A. Izaguirre

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 580, OpenCL, Package

January 4, 2013 by hgpu

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Denis Demidov, Karsten Ahnert, Karl Rupp, Peter Gottschling

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Tags: ATI, ATI Radeon HD 7970, Computational Physics, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, ODEs, OpenCL, Ordinary differential equations, Package, Tesla C2070

January 2, 2013 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

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Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Peter Richtarik, Martin Takac, Selin Damla Ahipasaoglu

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Tags: CUBLAS, CUDA, Machine learning, nVidia, Package, Statistics

December 18, 2012 by hgpu

Circular Hough Transform in OpenCL

Seunghoon Park

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 555 M, OpenCL, Package

December 16, 2012 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

Visualizing Complex Functions Using GPUs

Khaldoon Ghanem

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Tags: Computer science, GLSL, OpenGL, Package, Visualization

December 14, 2012 by hgpu

Towards Domain-specific Computing for Stencil Codes in HPC

Richard Membarth, Frank Hannig, Jurgen Teich, Harald Kostler

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Tags: Algorithms, Code generation, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

December 12, 2012 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

Packages

Implementing Open-Source CUDA Runtime

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Long Timestep Molecular Dynamics on the Graphical Processing Unit

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Circular Hough Transform in OpenCL

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Visualizing Complex Functions Using GPUs

Towards Domain-specific Computing for Stencil Codes in HPC

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

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