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3D Registration Based on Normalized Mutual Information: Performance of CPU vs. GPU Implementation

Florian Jung, Stefan Wesarg

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Tags: CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285

February 3, 2011 by hgpu

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

Ahmed Al Maashri, Guangyu Sun, Xiangyu Dong, Vijay Narayanan and Yuan Xie

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Tags: Computer science, CUDA, Hardware Architecture, Memory, Memory model, nVidia, nVidia GeForce 6400 GT

February 3, 2011 by hgpu

3D finite element numerical integration on GPUs

Pawel Maciol, Przemyslaw Plaszewski and Krzysztof Banasa

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Tags: Computer science, CUDA, Finite element method, nVidia, nVidia GeForce 8800 GTX

February 3, 2011 by hgpu

Data access optimized applications on the GPU using NVIDIA CUDA

Dheevatsa Mudiger

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fluid dynamics, nVidia, Tesla C1060, Tesla C870, Thesis

February 3, 2011 by hgpu

Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU)

Radovan Josth, Jukka Antikainen, Jiri Havel, Adam Herout, Pavel Zemcik, Markku Hauta-Kasari

Tags: CUDA, Image processing, nVidia

February 2, 2011 by hgpu

Cortical architectures on a GPGPU

Andrew Nere, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Programming techniques, Tesla C1060

February 2, 2011 by hgpu

High-Performance Neural Networks for Visual Object Classification

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

February 2, 2011 by hgpu

SPH on GPU with CUDA

Alexis Herault, Giuseppe Bilotta, Robert A. Dalrymple

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Package, Particle simulation, Tesla C1060

February 1, 2011 by hgpu

Constraint Fluids on GPU

Martin Nilsson

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Tags: Algorithms, Collision detection, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Thesis

February 1, 2011 by hgpu

Computational Fluid Dynamic on GPU

Ting Xingdong, Sen Li

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, OpenCL, Poster

February 1, 2011 by hgpu

Introduction to GPU programming for EDA

John F. Croix, Sunil P. Khatri

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Tags: Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, OpenCL, Presentation, Review

February 1, 2011 by hgpu

Uncontracted Rys Quadrature Implementation of up to G Functions on Graphical Processing Units

Andrey Asadchev, Veerendra Allada, Jacob Felder, Brett M. Bode, Mark S. Gordon and Theresa L. Windus

Tags: Chemistry, CUBLAS, CUDA, Molecular modeling, Molecular simulation, nVidia, nVidia GeForce GTX 275, Tesla T10

February 1, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

3D Registration Based on Normalized Mutual Information: Performance of CPU vs. GPU Implementation

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

3D finite element numerical integration on GPUs

Data access optimized applications on the GPU using NVIDIA CUDA

Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU)

Cortical architectures on a GPGPU

High-Performance Neural Networks for Visual Object Classification

SPH on GPU with CUDA

Constraint Fluids on GPU

Computational Fluid Dynamic on GPU

Introduction to GPU programming for EDA

Uncontracted Rys Quadrature Implementation of up to G Functions on Graphical Processing Units

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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