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GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Lin Cheng, Hyunsu Cho, Peter A. Yoon

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Tags: CUDA, Image processing, nVidia, Package, Tesla K20

January 17, 2014 by hgpu

Prefiltered Single Scattering

Oliver Klehm, Hans-Peter Seidel, Elmar Eisemann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Games, nVidia, nVidia GeForce GTX Titan, OpenGL

January 17, 2014 by hgpu

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

Huayou Su, Chunyuan Zhang, Mei Wen, Nan Wu

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460, Tesla C2050, Video encoding

January 17, 2014 by hgpu

MRPB: Memory Request Prioritization for Massively Parallel Processors

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Tesla C2050

January 16, 2014 by hgpu

VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU

Erich Elsen, Vishal Vaidyanathan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 670, Package

January 16, 2014 by hgpu

Improving Student Learning in Computer Science Courses by Using Virtual OpenCL Laboratory

Diming Zhang, Yuanjiang Li

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Tags: Computer science, Education, OpenCL

January 16, 2014 by hgpu

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Emanuel Ey

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Tags: Acoustics, Algorithms, Earth and Space Sciences, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Raytracing, Thesis

January 14, 2014 by hgpu

High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures

Pei Li, Elisabeth Brunet, Raymond Namyst

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, OpenCL

January 14, 2014 by hgpu

A Pervasive Parallel Framework for Visualization

Kenneth Moreland

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050, Visualization

January 14, 2014 by hgpu

Optimal Alignment of Three Sequences On A GPU

Junjie Li, Sanjay Ranka, Sartaj Sahni

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Tesla C2050

January 14, 2014 by hgpu

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Vedran Novakovic

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla C2070, Tesla K20, Tesla S2050

January 14, 2014 by hgpu

Towards Portable Performance for Explicit Hydrodynamics Codes

A. C. Mallinson, D. A. Beckingsale, W. P. Gaudin, J. A. Herdman, S. A. Jarvis

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Tags: APU, ATI, ATI FirePro V7800, Computer science, Fluid dynamics, MPI, nVidia, OpenCL, Package, Performance, Tesla K20

January 14, 2014 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

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Prefiltered Single Scattering

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

MRPB: Memory Request Prioritization for Massively Parallel Processors

VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU

Improving Student Learning in Computer Science Courses by Using Virtual OpenCL Laboratory

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

High Performance Code Generation for Stencil Computation on Heterogeneous Multi-device Architectures

A Pervasive Parallel Framework for Visualization

Optimal Alignment of Three Sequences On A GPU

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Towards Portable Performance for Explicit Hydrodynamics Codes

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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