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Accurate real-time stereo correspondence using intra- and inter-scanline optimization

Li Yao, Dong-xiao Li, Jing Zhang, Liang-hao Wang, Ming Zhang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4800, Optimization, Stereo vision

February 15, 2012 by hgpu

Reflective Shadow Map Clustering for Real-Time Global Illumination

Roman Prutkin, Anton Kaplanyan, Carsten Dachsbacher

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Tags: 3D Graphics and Realism, Clustering, Computer science, DirectX, Image generation, nVidia, nVidia GeForce GTX 560 Ti

February 15, 2012 by hgpu

Graph Coarsening and Clustering on the GPU

B. O. Fagginger Auer, R. H. Bisseling

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Tags: Algorithms, Clustering, Computer science, CUDA, Graph theory, nVidia, Package, Tesla C2050

February 15, 2012 by hgpu

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Glenn A. Elliott, James H. Anderson

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package

February 14, 2012 by hgpu

Spatial interpolation of scattered geoscientific data

Florian Hanzer

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Tags: Algorithms, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce GTX 580, OpenCL, Visualization

February 14, 2012 by hgpu

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Chris Lupo, Zoe J. Wood, Christine Victorino

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Tags: Computer science, CUDA, Education, nVidia, nVidia GeForce GTX 470, Performance, Programming techniques, Raytracing, Rendering

February 14, 2012 by hgpu

Acceleration of information-theoretic data analysis with graphics processing units

Davor Sluga, Tomaz Curk, Blaz Zupan, Uros Lotric

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, Tesla C2050

February 14, 2012 by hgpu

Accelerated People Tracking Using Texture in a Camera Network

Wasit Limprasert, Andrew Wallace, Greg Michaelson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 250

February 14, 2012 by hgpu

A Scalable GPU-based Approach to Accelerate the Multiple-Choice Knapsack Problem

Bharath Suri, Unmesh D. Bordoloi, Petru Eles

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Tags: Computer science, CUDA, nVidia, Optimization, Tesla M2050

February 13, 2012 by hgpu

Using Graphical Processing Units in Scheduling Problems

K. Mihaly, O. Hornyak

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Tags: Algorithms, Computer science, CUDA, nVidia, Task scheduling, Tesla C1060

February 13, 2012 by hgpu

Work Stealing Inside GPUs

Julio Toss

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 280, Task scheduling, Tesla C2050, Thesis

February 13, 2012 by hgpu

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Christian Robert Trott

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Tags: Biology, Computational Physics, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Package, Physics, Polymer Systems, Tesla C1060, Thesis

February 13, 2012 by hgpu

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

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

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high performance computing on graphics processing units: hgpu.org

Applications

Accurate real-time stereo correspondence using intra- and inter-scanline optimization

Reflective Shadow Map Clustering for Real-Time Global Illumination

Graph Coarsening and Clustering on the GPU

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Spatial interpolation of scattered geoscientific data

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Acceleration of information-theoretic data analysis with graphics processing units

Accelerated People Tracking Using Texture in a Camera Network

A Scalable GPU-based Approach to Accelerate the Multiple-Choice Knapsack Problem

Using Graphical Processing Units in Scheduling Problems

Work Stealing Inside GPUs

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Recent source codes

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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