high performance computing on graphics processing units: hgpu.org

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Real-Time Photon Mapping on GPU

Sanket Gupte

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, Raytracing, Real-time graphics

January 24, 2012 by hgpu

Multipattern String Matching On A GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 200, String matching

January 24, 2012 by hgpu

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, Cell processor, Clustering, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480

January 24, 2012 by hgpu

Cost Efficient PageRank Computation using GPU

Praveen K., Vamshi Krishna K., Anil Sri Harsha B., S. Balasubramanian, P.K. Baruah

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Tags: Algorithms, Computer science, CUBLAS, CUDA, List ranking, nVidia, Sparse matrix, Tesla T20

January 24, 2012 by hgpu

Determinant Computation on the GPU using the Condensation Method

Sardar Anisul Haque, Marc Moreno Maza

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

January 23, 2012 by hgpu

A GPU-based implementation for Range Queries on Spaghettis Data Structure

Roberto Uribe-Paredes, Pedro Valero-Lara, Enrique Arias, Jose L. Sanchez, Diego Cazorla

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 285

January 23, 2012 by hgpu

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Arno Leist

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Tags: Algorithms, Cell processor, Computer science, CUDA, Graph theory, Neural networks, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, Phase transition, Thesis

January 23, 2012 by hgpu

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

Rick van der Zwet

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Package, Thesis

January 23, 2012 by hgpu

Strassen’s Matrix Multiplication on GPUs

Junjie Li, Sanjay Ranka, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Tesla C1060

January 23, 2012 by hgpu

Faster Upper Body Pose Estimation Using CUDA

Dane L. Brown, Mehrdad Ghaziasgar, James Connan

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Tags: Computer science, Computer vision, CUDA, nVidia

January 23, 2012 by hgpu

Scientific Computation on Graphics Processing Unit using CUDA

Pradip Narendrakumar Panchal

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Tags: Computer science, CUDA, Differential equations, FDTD, Finite difference, Finite-difference time-domain, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs, Thesis

January 23, 2012 by hgpu

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

Eric Berberich, Pavel Emeliyanenko, Alexander Kobel, Michael Sagraloff

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Symbolic Computation

January 23, 2012 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

Real-Time Photon Mapping on GPU

Multipattern String Matching On A GPU

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

Determinant Computation on the GPU using the Condensation Method

A GPU-based implementation for Range Queries on Spaghettis Data Structure

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

Strassen’s Matrix Multiplication on GPUs

Faster Upper Body Pose Estimation Using CUDA

Scientific Computation on Graphics Processing Unit using CUDA

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

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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