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GPU Implementation of Gaussian Processes

Ying Deng, Edward Khon, Yuanruo Liang, Terence Lim, Jun Wei Ng, Lixiaonan Yin

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 570

June 11, 2014 by hgpu

Enabling High Performance Computing in Cloud Infrastructure using rCUDA

Yousuf Sait I, Vijayalakshmi R

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Tags: Cloud, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Virtualization

June 11, 2014 by hgpu

Improvement Study of EEMD Decomposition Efficiency Based on CUDA Architecture

Zhu Xiao-jun, Lv Shi-qin, Yu Xue-li

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Tags: CUDA, nVidia, Signal processing

June 9, 2014 by hgpu

Multi-level parallelization for hybrid ACO

O. Abdelkafi, J. Lepagnot, L. Idoumghar

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Tags: CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 680

June 9, 2014 by hgpu

The Performance Analysis Based on Heterogeneous Parallel Processors for Anisotropic Diffusion Filters

H.K. Kim, H.J. Lee

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 550 Ti

June 8, 2014 by hgpu

A numerical tour of wave propagation

P. Yang

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Tags: Acoustics, CUDA, Finite-difference method, nVidia, Partial differential equations, PDEs, Tutorial

June 8, 2014 by hgpu

Efficient 3D Isotropic Volume Reconstruction Based On 2D Localized Ultrasound Images

J.-B. Keck, M. Chabanas

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 670, Ultrasound

June 8, 2014 by hgpu

Review and Comparative Study of Ray Traversal Algorithms on a Modern GPU Architecture

A.L. dos Santos, U.F.P.E. Center, A.J. Anibal, C. Universitária, V. Teichrieb, J. Lindoso

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Tags: CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Raytraycing

June 8, 2014 by hgpu

Implementation and Experimental Evaluation of a CUDA Core under Single Event Effects

W. Nedel, F. Kastensmidt, J.R. Azambuja

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Tags: CUDA, Fault simulation, Fault tolerance, FPGA

June 7, 2014 by hgpu

Parallelization of Synthetic Aperture Radar (SAR) Imaging Algorithms on GPU

B. Pandya, N. Gajjar

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Tags: CUDA, FFT, nVidia, nVidia GeForce GTX 770, Sensing, Signal processing

June 7, 2014 by hgpu

Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU

H.M. Magboub, M.A. Osman

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Tags: Compression, CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia GeForce 8800 GTS

June 7, 2014 by hgpu

Brain perfusion imaging: performance and accuracy

F. Zhu

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Tags: Computed tomography, CT, CUDA, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Thesis

June 7, 2014 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Implementation of Gaussian Processes

Improvement Study of EEMD Decomposition Efficiency Based on CUDA Architecture

Multi-level parallelization for hybrid ACO

The Performance Analysis Based on Heterogeneous Parallel Processors for Anisotropic Diffusion Filters

A numerical tour of wave propagation

Efficient 3D Isotropic Volume Reconstruction Based On 2D Localized Ultrasound Images

Review and Comparative Study of Ray Traversal Algorithms on a Modern GPU Architecture

Implementation and Experimental Evaluation of a CUDA Core under Single Event Effects

Parallelization of Synthetic Aperture Radar (SAR) Imaging Algorithms on GPU

Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU

Brain perfusion imaging: performance and accuracy

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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