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Efficient all-against-all protein similarity matrix computation using OpenCL

U. Köhler, A. Smirnov

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Tags: AMD Radeon HD 580, Bioinformatics, nVidia, OpenCL, Sequence alignment, Smith-Waterman algorithm

June 9, 2014 by hgpu

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

D. Akgün, Ü. Sakoğlu, M. Mete, J. Esquivel, B. Adinoff

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Tags: Biology, Magnetic resonance imaging, Medicine, MRI, Neuroscience, nVidia, nVidia GeForce GTX 660, OpenCL

June 9, 2014 by hgpu

3D Skeleton Extraction Method using Potential Field on OpenCL

L. Lu, X. Wang

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Tags: Collision detection, Image processing, OpenCL

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

Native Offload of Haskell Repa Programs to GPGPU

H. Liu, L.E. Day, N. Glew, T.A. Anderson, R. Barik

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Tags: Heterogeneous systems, Intel HD 4600, OpenCL, Parallelization, Programming techniques

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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high performance computing on graphics processing units: hgpu.org

Applications

Efficient all-against-all protein similarity matrix computation using OpenCL

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

3D Skeleton Extraction Method using Potential Field on OpenCL

Multi-level parallelization for hybrid ACO

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

Native Offload of Haskell Repa Programs to GPGPU

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

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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