high performance computing on graphics processing units: hgpu.org

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Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

Ivo Hanak, Martin Janda, Vaclav Skala

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Tags: Computer holography, Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Rendering

July 16, 2011 by hgpu

Spring-Bead Animation of Viscoelastic Materials

Nobuhiko Tamura, Norimichi Tsumura, Toshiya Nakaguchi, Yoichi Miyake

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Tags: Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Particle simulation, Viscoelasticity, Visualization

June 28, 2011 by hgpu

Direct evaluation of NURBS curves and surfaces on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara Mcmains

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, nVidia, nVidia GeForce FX 6800, nVidia Quadro FX 3000, nVidia Quadro FX 4500, OpenGL

March 16, 2011 by hgpu

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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

SYCLCOMP Utilities

On the Compilation Performance of Current SYCL Implementations

M1 GPUs for (scientific) computations in C++

Seamless GPU acceleration for C++ based physics with the Metal Shading Language on Apple’s M series unified chips

CUB: Cooperative primitives for CUDA C++

Onesweep: A Faster Least Significant Digit Radix Sort for GPUs

Simulator and workload generator for Edge-to-Cloud environments

FELARE: Fair Scheduling of Machine Learning Applications on Heterogeneous Edge Systems

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high performance computing on graphics processing units: hgpu.org

Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

Spring-Bead Animation of Viscoelastic Materials

Direct evaluation of NURBS curves and surfaces on the GPU

Recent source codes

Rodinia Benchmarks for DPC++

DCA++: a state of the art implementation of the dynamical cluster approximation

tntorch - Tensor Network Learning with PyTorch

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

SYCLCOMP Utilities

M1 GPUs for (scientific) computations in C++

CUB: Cooperative primitives for CUDA C++

Simulator and workload generator for Edge-to-Cloud environments

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