high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Exploring the Feasibility of Fully Homomorphic Encryption

Wei Wang, Yin Hu, Lianmu Chen, Xinming Huang, Berk Sunar

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 690, Security

January 12, 2013 by hgpu

Intrusion Detection Architecture Utilizing Graphics Processors

Liberios Vokorokos, Anton Balaz, Branislav Mados

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Operating systems, Security

January 12, 2013 by hgpu

Lattice Boltzmann simulations of the permeability and capillary adsorption of cement model microstructures

M. Zalzale, P. J. McDonald

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Tags: CUDA, Lattice Boltzmann model, Materials Science, nVidia, nVidia GeForce GTX 460 M

January 12, 2013 by hgpu

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

Yukinori Sato, Yasushi Inoguchi, Wayne Luk, Tadao Nakamura

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla M2050

January 11, 2013 by hgpu

GPGPU-BASED Cortical Modeling

Theodore Hilk

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Tags: Algorithms, ATI, ATI Radeon HD 6870, ATI Radeon HD 7970, Image processing, OpenCL, PyOpenCL, Python

January 11, 2013 by hgpu

Video coding on multicore graphics processors (GPUs)

Bruno Alexandre de Medeiros

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Tags: Compression, CUDA, Data parallelism, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 580, Thesis, Video encoding

January 11, 2013 by hgpu

A Method to Improve Interest Point Detection and its GPU Implementation

Prabakar Karuppannan Gunashekhar

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Tags: Algorithms, Image processing, nVidia, OpenCL, Thesis

January 11, 2013 by hgpu

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Jacek Kustra, Andrei Jalba, Alexandru Telea

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 330 M, OpenGL, Package, Stereo vision

January 11, 2013 by hgpu

Optimal Image Upscaling Using Pixel Classification

G.Banupriya, C.R.Jerinsajeev

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

January 11, 2013 by hgpu

Automatic scanning of nuclear emulsions with wide-angle acceptance for nuclear fragment detection

T. Fukuda, S. Fukunaga, H. Ishida, K. Kodama, T. Matsuo, S. Mikado, S. Ogawa, H. Shibuya, J. Sudo

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Tags: CUDA, High Energy Physics - Experiment, Nuclear Experiment, Nuclear physics, nVidia, nVidia GeForce GTX 680, Physics, Tesla C2050

January 11, 2013 by hgpu

Parallel Computing of Discrete Element Method on GPU

Teruyoshi Washizawa, Yasuhiro Nakahara

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Tags: Computational Engineering, Computer science, CUDA, nVidia, OpenCL, Tesla C2050

January 11, 2013 by hgpu

Parallel Algorithms for Constructing Data Structures for Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Mathematical Software, nVidia, nVidia GeForce GTX 480

January 11, 2013 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Exploring the Feasibility of Fully Homomorphic Encryption

Intrusion Detection Architecture Utilizing Graphics Processors

Lattice Boltzmann simulations of the permeability and capillary adsorption of cement model microstructures

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

GPGPU-BASED Cortical Modeling

Video coding on multicore graphics processors (GPUs)

A Method to Improve Interest Point Detection and its GPU Implementation

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Optimal Image Upscaling Using Pixel Classification

Automatic scanning of nuclear emulsions with wide-angle acceptance for nuclear fragment detection

Parallel Computing of Discrete Element Method on GPU

Parallel Algorithms for Constructing Data Structures for Fast Multipole Methods

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Most viewed papers (last 30 days)