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An Algorithm for Detecting Cycles in Undirected Graphs using CUDA Technology

Maytham Safar, Fahad Mahdi, Khaled Mahdi

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 9500 GS

December 8, 2011 by hgpu

Evolving Neural Networks on GPUs

Johannes Hofmann

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Finance, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 480, Tesla C1060

December 7, 2011 by hgpu

GPU Implementation of the Keccak Hash Function Family

Pierre-Louis Cayrel, Gerhard Hoffmann, Michael Schneider

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Source codes

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 295, Package, Security, Tesla C2050

December 7, 2011 by hgpu

Parallelizing AES on multicores and GPUs

Julian Ortega, Helmuth Trefftz, Christian Trefftz

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Tags: AES, Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GT 330 M, nVidia Quadro FX 1800, OpenMP, Security

December 7, 2011 by hgpu

Sparse-Matrix-CG-Solver in CUDA

Dominik Michels

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 480, Sparse matrix

December 7, 2011 by hgpu

Accelerating Braided B+ Tree Searches on a GPU with CUDA

Jordan Fix, Andrew Wilkes, Kevin Skadron

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

December 7, 2011 by hgpu

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

Petr Pospichal

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTX 480, Performance

December 7, 2011 by hgpu

Automatic Fusions of CUDA-GPU Kernels for Parallel Map

Jan Fousek, Jiri Filipovic, Matus Madzin

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

December 6, 2011 by hgpu

DTAM: Dense tracking and mapping in real-time

Richard A. Newcombe, Steven J. Lovegrove, Andrew J. Davison

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Tags: Algorithms, Computer science, Computer vision, Image alignment, nVidia, nVidia GeForce GTX 480

December 6, 2011 by hgpu

Massively Parallel Identification of Intersection Points for GPGPU Ray Tracing

Alexandre S. Nery, Nadia Nedjah, Felipe M. G. Franca, Lech Jozwiak

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 465, Raytracing

December 6, 2011 by hgpu

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Shubham Gupta, M.Rajasekhara Babu

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GT 210 M, OpenMP, Performance, String matching

December 6, 2011 by hgpu

Real-time Terrain Modeling using CPU-GPU Coupled Computation

Adrien Bernhardt, Andre Maximo, Luiz Velho, Houssam Hnaidi, Marie-Paule Cani

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Tags: Computer science, nVidia, nVidia GeForce GTS 480, OpenGL, Real-time graphics, Rendering, Tessellation

December 6, 2011 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

An Algorithm for Detecting Cycles in Undirected Graphs using CUDA Technology

Evolving Neural Networks on GPUs

GPU Implementation of the Keccak Hash Function Family

Parallelizing AES on multicores and GPUs

Sparse-Matrix-CG-Solver in CUDA

Accelerating Braided B+ Tree Searches on a GPU with CUDA

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

Automatic Fusions of CUDA-GPU Kernels for Parallel Map

DTAM: Dense tracking and mapping in real-time

Massively Parallel Identification of Intersection Points for GPGPU Ray Tracing

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Real-time Terrain Modeling using CPU-GPU Coupled Computation

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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