high performance computing on graphics processing units: hgpu.org

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High performance predictable histogramming on GPUs: exploring and evaluating algorithm trade-offs

Cedric Nugteren, Gert J. van den Braak, Henk Corporaal, Bart Mesman

Tags: Computer science, CUDA, Image processing, nVidia

May 4, 2011 by hgpu

Graphics hardware & GPU computing: past, present, and future

David Luebke

Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce GTX 280, Review

May 4, 2011 by hgpu

Accelerating scientific applications using GPU’s

M. Taher

Tags: Bioinformatics, Biology, Computer science, CUDA, FFT, nVidia, Security, Sequence alignment

May 3, 2011 by hgpu

GPU Implementation of Extended Gaussian Mixture Model for Background Subtraction

Vu Pham, Phong Vo, Vu Thanh Hung, Le Hoai Bac

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9600 GT, Package

May 3, 2011 by hgpu

Parallel grid-based recursive Bayesian estimation using GPU for real-time autonomous navigation

Tomonari Furukawa, Benjamin Lavis, Hugh F. Durrant-Whyte

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Tags: Bayesian, Computer science, nVidia, nVidia GeForce 8800 GTS

May 3, 2011 by hgpu

Statistical power modeling of GPU kernels using performance counters

Hitoshi Nagasaka, Naoya Maruyama, Akira Nukada, Toshio Endo, Satoshi Matsuoka

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 285

May 3, 2011 by hgpu

GPU-based elastic-object deformation for enhancement of existing haptic applications

Cristian J. Luciano, P. Pat Banerjee, Silvio H. R. Rizzi

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Tags: Algorithms, Computed tomography, CT, Image processing, Magnetic resonance imaging, MRI, nVidia, nVidia Quadro FX 3400, OpenGL, Virtual reality

May 3, 2011 by hgpu

Realtime Simulation of Burning Solids on GPU with CUDA

Jian Zhu, Youquan Liu, Kai Bao, Yuanzhang Chang, Enhua Wu

Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia

May 3, 2011 by hgpu

GPU-CPU multi-core for real-time signal processing

Saraju P. Mohanty

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Tags: nVidia, nVidia GeForce FX 5200, OpenGL, Rendering, Signal processing

May 3, 2011 by hgpu

Acceleration of large-scale FDTD simulations on high performance GPU clusters

C. Ong, M. Weldon, D. Cyca, M. Okoniewski

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Tags: Electrodynamics, FDTD, Finite-difference time-domain, GPU cluster, nVidia, Tesla S870

May 3, 2011 by hgpu

Exploiting GPU On-chip Shared Memory for Accelerating Schedulability Analysis

Swaroop Nunna, Unmesh D. Bordoloi, Samarjit Chakraborty, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce 8800 GTX

May 3, 2011 by hgpu

GPU based acceleration architecture for image enhancement in spatial domain

Li Zhonghua, Zhou Fugen, Bai Xiangzhi

Tags: Algorithms, CUDA, Image processing, nVidia

May 3, 2011 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

High performance predictable histogramming on GPUs: exploring and evaluating algorithm trade-offs

Graphics hardware & GPU computing: past, present, and future

Accelerating scientific applications using GPU’s

GPU Implementation of Extended Gaussian Mixture Model for Background Subtraction

Parallel grid-based recursive Bayesian estimation using GPU for real-time autonomous navigation

Statistical power modeling of GPU kernels using performance counters

GPU-based elastic-object deformation for enhancement of existing haptic applications

Realtime Simulation of Burning Solids on GPU with CUDA

GPU-CPU multi-core for real-time signal processing

Acceleration of large-scale FDTD simulations on high performance GPU clusters

Exploiting GPU On-chip Shared Memory for Accelerating Schedulability Analysis

GPU based acceleration architecture for image enhancement in spatial domain

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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