high performance computing on graphics processing units: hgpu.org

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Conditional component composition for GPU-based systems

Usman Dastgeer, Christoph W. Kessler

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 6, 2014 by hgpu

GLSL Essentials

Jacobo Rodriguez

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Tags: 3D Graphics and Realism, Book, Computer science, GLSL, OpenGL, Rendering, Tutorial

January 5, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 by hgpu

DEF-G: Declarative Framework for GPU Environment

Robert Senser, Tom Altman

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Tags: Code generation, Computer science, Filtering, nVidia, nVidia GeForce GT 430, OpenCL, Tesla T20

January 5, 2014 by hgpu

Opportunities for Parallelism in Matrix Multiplication

Tyler M. Smith, Robert A. van de Geijn, Mikhail Smelyanskiy, Jeff R. Hammond and Field G. Van Zee

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Tags: Computer science, Intel Xeon Phi, Matrix multiplication

January 5, 2014 by hgpu

Crack-free rendering of dynamically tesselated B-Rep models

Frederic Claux, Loic Barthe, David Vanderhaeghe, Jean-Pierre Jessel, Mathias Paulin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Dynamic surface, Image generation, nVidia, nVidia GeForce GTX 780, Rendering, Shaders

January 5, 2014 by hgpu

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Graph theory, nVidia, Search, Tesla C2050

January 5, 2014 by hgpu

Parallel Irradiance Caching on the GPU

Nathaniel L. Jones

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Tags: Computer science, CUDA, nVidia, nVidia Quadro K4000, OptiX, Package, Raytracing

January 5, 2014 by hgpu

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

Min Qi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla C2070, Thesis

January 5, 2014 by hgpu

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

Abhilash C S, Abhishek Varshney, Dilip S, Navik Yogesh Laljibhai, Pradyot H Adavi

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 480, Security

January 3, 2014 by hgpu

Accelerating Simulation Codes through the GeMTC Framework

Digvijay Singh Gahlot, Scott Krieder, Ioan Raicu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Performance

January 3, 2014 by hgpu

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

Taejung Park, Yangmi Lim

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, OpenGL, OptiX, Raytracing, Triangular meshes

January 2, 2014 by hgpu

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

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

Conditional component composition for GPU-based systems

GLSL Essentials

Large scale 3D shape retrieval by exploiting multi-core and GPU

DEF-G: Declarative Framework for GPU Environment

Opportunities for Parallelism in Matrix Multiplication

Crack-free rendering of dynamically tesselated B-Rep models

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Parallel Irradiance Caching on the GPU

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

Accelerating Simulation Codes through the GeMTC Framework

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

Recent source codes

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

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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