high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

A two-level real-time vision machine combining coarse- and fine-grained parallelism

Lars Jensen, Anders Kjaer-Nielsen, Karl Pauwels, Jeppe Jessen, Marc Van Hulle, Norbert Kruger

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, OpenMP

November 19, 2010 by hgpu

From Rendering to Tracking Point-based 3D Models

Christophe Dehais, Geraldine Morin, Vincent Charvillat

Tags: Computer science, Computer vision

November 18, 2010 by hgpu

Parallel implementation of Artificial Neural Network training for speech recognition

Stefano Scanzio, Sandro Cumani, Roberto Gemello, Franco Mana, P. Laface

Tags: Computer science, CUDA, Neural networks, nVidia

November 18, 2010 by hgpu

Fault Table Computation on GPUs

Kanupriya Gulati, Sunil Khatri

Tags: Computer science, Fault simulation, nVidia, nVidia Quadro FX 5800

November 18, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Source codes

Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Wei W. Feng, Byung U. Kim, Yizhou Yu, Liang Peng, John Hart

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 18, 2010 by hgpu

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 280, Performance

November 17, 2010 by hgpu

Scalable parallel programming with CUDA

John Nickolls, Ian Buck, Michael Garland, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, Programming techniques, Review

November 17, 2010 by hgpu

A Graphics Parallel Memory Organization Exploiting Request Correlations

George Lentaris, Dionysios Reisis

Tags: Computer science, Performance, Storage system

November 17, 2010 by hgpu

Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA Compatible Devices

Tomonari Masada, Tsuyoshi Hamada, Yuichiro Shibata, Kiyoshi Oguri

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Tags: Computer science, CUDA, Latent Dirichlet allocation, nVidia, nVidia GeForce GTX 260

November 17, 2010 by hgpu

Eye-Full Tower: A GPU-based variable multibaseline omnidirectional stereovision system with automatic baseline selection for outdoor mobile robot navigation

Wen L. Lui, Ray Jarvis

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 M GTX

November 17, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A two-level real-time vision machine combining coarse- and fine-grained parallelism

From Rendering to Tracking Point-based 3D Models

Parallel implementation of Artificial Neural Network training for speech recognition

Fault Table Computation on GPUs

A GPGPU compiler for memory optimization and parallelism management

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Correlation analysis on GPU systems using NVIDIA’s CUDA

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Scalable parallel programming with CUDA

A Graphics Parallel Memory Organization Exploiting Request Correlations

Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA Compatible Devices

Eye-Full Tower: A GPU-based variable multibaseline omnidirectional stereovision system with automatic baseline selection for outdoor mobile robot navigation

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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