high performance computing on graphics processing units: hgpu.org

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ClearPath: highly parallel collision avoidance for multi-agent simulation

Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming Lin, Dinesh Manocha, Pradeep Dubey

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Tags: Artificial intelligence, Computer science, Larrabee, Optimization

January 8, 2011 by hgpu

Parallel evolutionary algorithms on graphics processing unit

Man-Leung Wong, Tien-Tsin Wong, Ka-Ling Fok

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce 6800 Ultra, Optimization, Shaders

January 5, 2011 by hgpu

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

Hans de Ruiter, Beno Benhabib

Tags: Artificial intelligence, Computer science, Computer vision, Pattern recognition, Video tracking

December 13, 2010 by hgpu

March of the Froblins: simulation and rendering massive crowds of intelligent and detailed creatures on GPU

Jeremy Shopf, Joshua Barczak, Christopher Oat, Natalya Tatarchuk

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Tags: 3D Graphics and Realism, Artificial intelligence, ATI, Computer science, Games, Image generation

December 9, 2010 by hgpu

An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated

Jian-Ming Li, Xiao-Jing Wang, Rong-Sheng He, Zhong-Xian Chi

Tags: Artificial intelligence, Computer science

December 5, 2010 by hgpu

Abstract shade trees

Morgan McGuire, George Stathis, Hanspeter Pfister, Shriram Krishnamurthi

Tags: Artificial intelligence, Computer science, Data Structures and Algorithms, Shaders

December 4, 2010 by hgpu

Collaborative diffusion: programming antiobjects

Alexander Repenning

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Tags: Algorithms, Artificial intelligence, Computer science, Games

December 2, 2010 by hgpu

Boids that see: Using self-occlusion for simulating large groups on GPUs

Alessandro R. Da Silva, Wallace S. Lages, Luiz Chaimowicz

Tags: Artificial intelligence, Computer science, CUDA, Games, nVidia

November 27, 2010 by hgpu

Parallel multi-objective evolutionary algorithms on graphics processing units

Man L. Wong

Tags: Artificial intelligence, Computer science, CUDA, nVidia, Optimization

November 22, 2010 by hgpu

A high performance agent based modelling framework on graphics card hardware with CUDA

Paul Richmond, Simon Coakley, Daniela M. Romano

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2

November 21, 2010 by hgpu

Large-scale deep unsupervised learning using graphics processors

Rajat Raina, Anand Madhavan, Andrew Y. Ng

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

Hicham Ghorayeb, Bruno Steux, Claude Laurgeau

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Tags: Artificial intelligence, Computer vision, Image processing, nVidia, nVidia GeForce 6600 GT, OpenGL

November 4, 2010 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

See all packages

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high performance computing on graphics processing units: hgpu.org

ClearPath: highly parallel collision avoidance for multi-agent simulation

Parallel evolutionary algorithms on graphics processing unit

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

March of the Froblins: simulation and rendering massive crowds of intelligent and detailed creatures on GPU

An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated

Abstract shade trees

Collaborative diffusion: programming antiobjects

Boids that see: Using self-occlusion for simulating large groups on GPUs

Parallel multi-objective evolutionary algorithms on graphics processing units

A high performance agent based modelling framework on graphics card hardware with CUDA

Large-scale deep unsupervised learning using graphics processors

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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