high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

GPU based Implementation of Film Flicker Reduction Algorithms

Martn Pineyro, Julieta Keldjian, Alvaro Pardo

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Tags: Algorithms, ATI, ATI Radeon HD 5650, Image processing, OpenCL

January 19, 2014 by hgpu

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Jun Ma, James Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Visualization

January 19, 2014 by hgpu

Finite-difference time-domain solver for room acoustics using graphics processing units

Jukka Saarelma

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 690, Thesis, Visualization

January 19, 2014 by hgpu

GPU Computing for Meshfree Particle Method

M. Panchatcharam, S. Sundar, V. Vetrivel, A. Klar, S. Tiwari

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Tags: CUDA, Fluid dynamics, Laplace and Poisson equation, nVidia, Poisson equation, Tesla M2050

January 19, 2014 by hgpu

High-performance and Embedded Systems for Cryptography

Samuel Freitas Antao

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Tags: Algorithms, Computer science, Elliptic curves, FPGA, Modular arithmetic, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, Security

January 18, 2014 by hgpu

Supporting x86-64 Address Translation for 100s of GPU Lanes

Jason Power, Mark D. Hill, David A. Wood

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Tags: Benchmarking, Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia

January 18, 2014 by hgpu

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

Ichitaro Yamazaki, Hartwig Anzt, Stanimire Tomov, Mark Hoemmenx, Jack Dongarra

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla M2090

January 18, 2014 by hgpu

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Ivan Chernov

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Thesis, Visualization

January 18, 2014 by hgpu

Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

Anand Kumar, Vladimir Grupcev, Yongke Yuan, Jin Huang, Yi-Cheng Tu, Gang Shen

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 570

January 18, 2014 by hgpu

Power Profiling of GeMTC Many Task Computing

Sean Wallace, Scott Krieder, Ioan Raicu

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Tags: Computer science, CUDA, Energy-efficient computing, Intel Xeon Phi, nVidia

January 17, 2014 by hgpu

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Lin Cheng, Hyunsu Cho, Peter A. Yoon

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Tags: CUDA, Image processing, nVidia, Package, Tesla K20

January 17, 2014 by hgpu

Prefiltered Single Scattering

Oliver Klehm, Hans-Peter Seidel, Elmar Eisemann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Games, nVidia, nVidia GeForce GTX Titan, OpenGL

January 17, 2014 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

GPU based Implementation of Film Flicker Reduction Algorithms

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Finite-difference time-domain solver for room acoustics using graphics processing units

GPU Computing for Meshfree Particle Method

High-performance and Embedded Systems for Cryptography

Supporting x86-64 Address Translation for 100s of GPU Lanes

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

Power Profiling of GeMTC Many Task Computing

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Prefiltered Single Scattering

Recent source codes

OpScanner

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

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

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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