high performance computing on graphics processing units: hgpu.org

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GPU Implementation of Gaussian Processes

Ying Deng, Edward Khon, Yuanruo Liang, Terence Lim, Jun Wei Ng, Lixiaonan Yin

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 570

June 11, 2014 by hgpu

Enabling High Performance Computing in Cloud Infrastructure using rCUDA

Yousuf Sait I, Vijayalakshmi R

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Tags: Cloud, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Virtualization

June 11, 2014 by hgpu

Software-Based Hardening Strategies for Neutron Sensitive FFT Algorithms on GPUs

L. L. Pilla, P. Rech, F. Silvestri, C. Frost, P. O. A. Navaux, M. Sonza Reorda, L. Carro

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Tags: Computer science, CUDA, Fault tolerance, FFT, nVidia, Tesla C2050

June 6, 2014 by hgpu

An Improved Parallel Algorithm using GPU for Siting Observers on Terrain

Guilherme C. Pena, Marcus V. A. Andrade, Salles V. G. Magalhaes, W. R. Franklin, Chaulio R. Ferreira

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Tags: Algorithms, Computer science, CUDA, nVidia, Search strategies, Tesla K20

June 6, 2014 by hgpu

Parallel centerline extraction on the GPU

Baoquan Liu, Alexandru C. Telea, Jos B.T.M. Roerdink, Gordon J. Clapworthy, David Williams, Po Yang, Feng Dong, Valeriu Codreanu, Alessandro Chiarini

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Tags: Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 690, Visualization

June 6, 2014 by hgpu

Performance models for CPU-GPU data transfers

B. van Werkhoven, J. Maassen, F.J. Seinstra, H.E. Bal

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Tags: Computer science, CUDA, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, PCIe, Performance, Performance prediction, Tesla K20

June 5, 2014 by bennotsi

Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints

Karl Pauwels, Leonardo Rubio, Eduardo Ros

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 590, OpenGL

June 5, 2014 by hgpu

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Sankha Baran Dutta

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Tags: Ant colony optimization, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis

June 5, 2014 by hgpu

Mapping parallel programs to heterogeneous multi-core systems

Dominik Grewe

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Tags: Algorithms, ATI, ATI Radeon HD 7990, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Thesis

June 5, 2014 by hgpu

A Comparative Study of Game Tree Searching Methods

Ahmed A. Elnaggar, Mostafa Abdel Aziem, Mahmoud Gadallah, Hesham El-Deeb

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Tags: Algorithms, Computer science, CUDA, nVidia, Search

June 5, 2014 by hgpu

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Charles J. Gala

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Pattern recognition, Tesla C2050, Thesis

June 3, 2014 by hgpu

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Signal processing

June 3, 2014 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Implementation of Gaussian Processes

Software-Based Hardening Strategies for Neutron Sensitive FFT Algorithms on GPUs

An Improved Parallel Algorithm using GPU for Siting Observers on Terrain

Parallel centerline extraction on the GPU

Performance models for CPU-GPU data transfers

Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Mapping parallel programs to heterogeneous multi-core systems

A Comparative Study of Game Tree Searching Methods

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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