high performance computing on graphics processing units: hgpu.org

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CUDA Based Fast Implementation of Very Large Matrix Computation

Yinghong Sun, Yuanman Tong

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia

June 10, 2011 by hgpu

The scoring sequences on profile Hidden Markov Models with delete states elimination by GPUs

Jun Li, Yanhui Li, Shuangping Chen

Tags: Bioinformatics, Computer science, nVidia, nVidia GeForce 9800 GTX, Sequence alignment

June 10, 2011 by hgpu

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, Computer vision, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 480

June 10, 2011 by hgpu

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park

Source codes

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, Package

June 9, 2011 by hgpu

Low-Frequency MLFMA on Graphics Processors

M. Cwikla, J. Aronsson, V. Okhmatovski

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Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, nVidia Quadro FX 5800

June 9, 2011 by hgpu

SAR focusing of P-band ice sounding data using back-projection

Anders Kusk, Jorgen Dall

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 260

June 9, 2011 by hgpu

Parallelism of Clonal Selection for PSP on CUDA

Hongbing Zhu, Heng Xiao, JinGuang Gu

Tags: Biology, CUDA, Macromolecule, nVidia

June 9, 2011 by hgpu

Parallel multi-level analytical global placement on graphics processing units

Jason Cong, Yi Zou

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, Performance, Tesla C1060

June 9, 2011 by hgpu

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Lifan Xu, Michela Taufer, Stuart Collins, Dionisios G. Vlachos

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Tags: Chemistry, CUDA, Data parallelism, GPU cluster, Monte Carlo simulation, nVidia, Physics, Tesla S1070

June 9, 2011 by hgpu

Visual Simulation of Heat Shimmering and Mirage

Ye Zhao, Yiping Han, Zhe Fan, Feng Qiu, Yu-Chuan Kuo, Arie E. Kaufman, Klaus Mueller

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Tags: Computer science, Finite difference, Lattice Boltzmann model, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Raytracing, Rendering

June 8, 2011 by hgpu

Stress Tensor Field Visualization for Implant Planning in Orthopedics

Christian Dick, Joachim Georgii, Rainer Burgkart, Rudiger Westermann

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Tags: Medicine, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

June 8, 2011 by hgpu

Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders

Ngai-Man Cheung, Oscar C. Au, Man-Cheung Kung, Xiaopeng Fan

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Tags: Cg, Compression, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL, Video decoding

June 8, 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

CUDA Based Fast Implementation of Very Large Matrix Computation

The scoring sequences on profile Hidden Markov Models with delete states elimination by GPUs

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Low-Frequency MLFMA on Graphics Processors

SAR focusing of P-band ice sounding data using back-projection

Parallelism of Clonal Selection for PSP on CUDA

Parallel multi-level analytical global placement on graphics processing units

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Visual Simulation of Heat Shimmering and Mirage

Stress Tensor Field Visualization for Implant Planning in Orthopedics

Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders

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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