high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Importance-driven compositing window management

Manuela Waldner, Markus Steinberger, Raphael Grasset, Dieter Schmalstieg

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Tags: Computer science, Interface tracking, nVidia, nVidia GeForce GTX 480, OpenCL, OpenGL, Visualization

September 11, 2011 by hgpu

Parallel programming with NVIDIA CUDA

Alejandro Segovia

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, Package, Tutorial

September 11, 2011 by hgpu

Challenges of medical image processing

Ingrid Scholl, Til Aach, Thomas M. Deserno, Torsten Kuhlen

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Tags: Algorithms, Data mining, Grid, Image processing, Medicine, Review, Virtual reality, Visualization

September 11, 2011 by hgpu

High-performance SIMT code generation in an active visual effects library

Jay L.T. Cornwall, Lee Howes, Paul H.J. Kelly, Phil Parsonage, Bruno Nicoletti

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Tags: Algorithms, Code generation, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, Performance, Software Engineering, Visualization

September 11, 2011 by hgpu

Solving diffractive optics problems using graphics processing units

D. L. Golovashkin, N. L. Kasanskiy

Tags: Algorithms, ATI, ATI FireStream, Brook, Cg, CUDA, FDTD, Finite-difference time-domain, nVidia, OpenGL, Optics, Overview, Physics, Raytracing, Review

September 11, 2011 by hgpu

Enabling multiple accelerator acceleration for Java/OpenMP

Ronald Veldema, Thorsten Blass, Michael Philippsen

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Tags: Benchmarking, Computer science, CUDA, Java, nVidia, OpenCL, OpenMP, OpenMPI, Tesla M1060

September 9, 2011 by hgpu

Beyond programmable shading (parts I and II)

Aaron Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass Everitt, Kayvon Fatahalian, Tim Foley, Justin Hensley, Paul Lalonde, David Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, Image processing, OpenGL, Presentation, Programming techniques, Rasterization, Raytracing, Rendering

September 9, 2011 by hgpu

CUDACS: securing the cloud with CUDA-enabled secure virtualization

Flavio Lombardi, Roberto Di Pietro

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Tags: Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 M, nVidia GeForce GT 220, Security, Virtualization

September 9, 2011 by hgpu

Piccolo: building fast, distributed programs with partitioned tables

Russell Power, Jinyang Li

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Tags: Algorithms, Clustering, Computer science, Programming techniques

September 9, 2011 by hgpu

Parallel Programming on a Soft-Core Based Multi-core System

Liang-Teh Lee, Shin-Tsung Lee, Ching-Wei Chen

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Tags: Algorithms, Computer science, FPGA, Programming techniques

September 8, 2011 by hgpu

Experiences with Mapping Non-linear Memory Access Patterns into GPUs

Eladio Gutierrez, Sergio Romero, Maria A. Trenas, Oscar Plata

Tags: Computer science, CUDA, Memory, nVidia, Optimization, Programming techniques

September 8, 2011 by hgpu

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

Florian Stock, Andreas Koch

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Tags: Cell processor, Conjugate gradient solver, CUDA, FPGA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, Optimization, Sparse matrix

September 8, 2011 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

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high performance computing on graphics processing units: hgpu.org

Programming

Importance-driven compositing window management

Parallel programming with NVIDIA CUDA

Challenges of medical image processing

High-performance SIMT code generation in an active visual effects library

Solving diffractive optics problems using graphics processing units

Enabling multiple accelerator acceleration for Java/OpenMP

Beyond programmable shading (parts I and II)

Piccolo: building fast, distributed programs with partitioned tables

Parallel Programming on a Soft-Core Based Multi-core System

Experiences with Mapping Non-linear Memory Access Patterns into GPUs

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

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)