high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Job Parallelism using Graphical Processing Unit individual Multi-Processors and Highly Localised Memory

D. P. Playne, K. A. Hawick

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Tesla M2075

May 29, 2013 by hgpu

On Migration and Consolidation of VMs in Hybrid CPU-GPU Environments

Kuan-Ching Li, Keunsoo Kim, Won W. Ro, Tien-Hsiung Weng, Che-Lun Hung, Chen-Hao Ku, Albert Cohen, Jean-Luc Gaudiot

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti, Virtualization

May 29, 2013 by hgpu

Finite-difference time-domain simulations of metamaterials

Zhengwei Hao

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Tags: Computer science, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

May 29, 2013 by hgpu

Efficient GPU-based Graph Cuts for Stereo Matching

Young-kyu Choi, In Kyu Park

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Stereo vision

May 29, 2013 by hgpu

Parallelization of Mesh Contraction and Fairing using OpenCL

Martin Madaras, Roman Durikovic

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Tags: ATI, ATI Radeon HD 6630 M, Computational Geometry, Computer science, OpenCL, Triangular meshes

May 29, 2013 by hgpu

Effects of Concurrency Techniques and Algorithm Performance: A Comparative Analysis of Single-Threaded, Multi-Threaded, and GPGPU Programming Techniques

Joshua Penton

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Source codes

Tags: ATI, ATI Radeon HD 6750 M, Computer science, FFT, Java, OpenCL, Package, Performance, Programming techniques

May 28, 2013 by hgpu

MATLAB Medical Images Classification on Graphics Processors

Ramona DIN

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 470

May 28, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Analysis of Parallel Montgomery Multiplication in CUDA

Yuheng Liu

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GT 650 M, Security, Thesis

May 28, 2013 by hgpu

Performance Portability in Accelerated Parallel Kernels

John A. Stratton, Hee-Seok Kim, Thoman B. Jablin, Wen-Mei W. Hwu

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Tags: Computer science, Heterogeneous systems, OpenCL, OpenMP, Performance

May 27, 2013 by hgpu

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Ping Guo, Liqiang Wang, Po Chen

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 27, 2013 by hgpu

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

Ian C. Atkinson, Geng Liu, Nady Obeid, Keith R. Thulborn, Wen-mei Hwu

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Tags: Algorithms, Biology, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, Tesla C2050

May 27, 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

Job Parallelism using Graphical Processing Unit individual Multi-Processors and Highly Localised Memory

On Migration and Consolidation of VMs in Hybrid CPU-GPU Environments

Finite-difference time-domain simulations of metamaterials

Efficient GPU-based Graph Cuts for Stereo Matching

Parallelization of Mesh Contraction and Fairing using OpenCL

Effects of Concurrency Techniques and Algorithm Performance: A Comparative Analysis of Single-Threaded, Multi-Threaded, and GPGPU Programming Techniques

MATLAB Medical Images Classification on Graphics Processors

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Analysis of Parallel Montgomery Multiplication in CUDA

Performance Portability in Accelerated Parallel Kernels

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

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)