high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

GPU-Based Image Segmentation Using Level Set Method With Scaling Approach

Zafer Guler, Ahmet Cinar

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, nVidia GeForce GTX 660 Ti, Partial differential equations, PDEs

October 30, 2013 by hgpu

An Evolutionary Approach to Parallel Computing Using GPU

Mohammad Naeemullah

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia

October 30, 2013 by hgpu

The Plasma Simulation Code: A modern particle-in-cell code with load-balancing and GPU support

Kai Germaschewski, William Fox, Narges Ahmadi, Liang Wang, Stephen Abbott, Hartmut Ruhl, Amitava Bhattacharjee

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Tags: Computational Physics, CUDA, nVidia, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla K20

October 30, 2013 by hgpu

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Anshu Raina

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Tesla M2090, Thesis

October 30, 2013 by hgpu

Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation

Julia Bergbauer, Claudia Nieuwenhuis, Mohamed Souiai, Daniel Cremers

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 680

October 29, 2013 by hgpu

A Comparison of Two Methods for Geometric Milling Simulation Accelerated by GPU

Masatomo Inui, Nobuyuki Umezu, Yuuki Shinozuka

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering

October 29, 2013 by hgpu

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

Diego Rodriguez-Losada, Pablo San Segundo, Miguel Hernando, Paloma de la Puente, Alberto Valero

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce GTX 280

October 29, 2013 by hgpu

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

V. Halyo, P. LeGresley, P. Lujan, V. Karpusenko, A. Vladimirov

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, nVidia, Physics, Tesla K20

October 29, 2013 by hgpu

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Swadhin K. Mangaraj

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, OpenCL, Thesis

October 29, 2013 by hgpu

High-performance Dynamic Programming on FPGAs with OpenCL

Sean O. Settle

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Tags: Bioinformatics, Computer science, FPGA, Heterogeneous systems, OpenCL, RNA, Smith-Waterman algorithm

October 29, 2013 by hgpu

Molecular Simulations using CUDA

Gerhard Burger

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Tags: CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2075, Thesis

October 29, 2013 by hgpu

Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation

Ankit Srivastava

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, FDTD, Finite-difference time-domain, Materials Science, nVidia, nVidia Quadro K 2000

October 29, 2013 by hgpu

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

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU-Based Image Segmentation Using Level Set Method With Scaling Approach

An Evolutionary Approach to Parallel Computing Using GPU

The Plasma Simulation Code: A modern particle-in-cell code with load-balancing and GPU support

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation

A Comparison of Two Methods for Geometric Milling Simulation Accelerated by GPU

GPU-Mapping: Robotic Map Building with Graphical Multiprocessors

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

High-performance Dynamic Programming on FPGAs with OpenCL

Molecular Simulations using CUDA

Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation

Recent source codes

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

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

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