high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

GPU-Based Local-Dimming for Power Efficient Imaging

Chihao Xu, Michael Krause, Jens Kruger

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 555 M

October 13, 2012 by hgpu

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Liang Men, Miaoqing Huang, John Gauch

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Tags: Algorithms, Clustering, CUDA, Image processing, nVidia, Tesla C2075

October 9, 2012 by hgpu

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Max Grossman, Sameer Kulkarni

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, Machine learning, OpenCL, Optimization

October 9, 2012 by hgpu

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Leszek Slazynski, Sander Bohte

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL

October 9, 2012 by hgpu

Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes

M. Prato, R. Cavicchioli, L. Zanni, P. Boccacci, M. Bertero

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Source codes

Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Numerical Analysis, nVidia, nVidia GeForce GTX 280, Package

October 9, 2012 by hgpu

Learning hash codes for efficient content reuse detection

Qi Zhang, Yan Wu, Zhuoye Ding, Xuanjing Huang

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Tags: Algorithms, Computer science, CUDA, Hashing, Information Retrieval, nVidia, nVidia Quadro FX 4000, Security

October 8, 2012 by hgpu

Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM

Lipeng Yang, Shuai Li, Aimin Hao, Hong Qin

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Tags: Algorithms, CUDA, FEM, Fluid dynamics, GLSL, nVidia, nVidia GeForce GTX 580

October 8, 2012 by hgpu

GPU Accelerated NIDS Search

Kristian Nordhaug

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Security, Thesis

October 8, 2012 by hgpu

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Eric Hayden, Mark Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekaran Seetharaman

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Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, nVidia, Signal processing, Tesla C2050

October 6, 2012 by hgpu

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Massimo Panella, Luigi Basset

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Tags: Algorithms, Compression, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Signal processing

October 6, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

GPU-Based Local-Dimming for Power Efficient Imaging

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes

Learning hash codes for efficient content reuse detection

Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM

GPU Accelerated NIDS Search

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Architectural explorations for streaming accelerators with customized memory layouts

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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