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Efficiency of Parallelization of Neural Network Algorithm on Graphic Cards

Dariusz Konieczny, Karol Radziszewski

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Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia Quadro FX 3700 M, Tesla T10

March 16, 2013 by hgpu

Astronomical Photometric Data Reduction Using GPGPU

Jan Kwiatkowski, Rafal Pawlaszek

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Tags: Astrophysics, CUDA, nVidia

March 16, 2013 by hgpu

Exploring power efficiency and optimizations targeting heterogeneous applications

Yash Sanjeev Ukidave

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Tags: AMD Fusion, ATI, ATI Radeon HD 7770, Computer science, Energy-efficient computing, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Thesis

March 16, 2013 by hgpu

iTree: Exploring Time-Varying Data using Indexable Tree

Yi Gu, Chaoli Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Visualization

March 15, 2013 by hgpu

Real-time Rendering of Melting Objects in Video Games

Dhanyu Amarasinghe, Ian Parberry

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9800 GTS, Rendering

March 15, 2013 by hgpu

Convergence and Scalarization for Data-Parallel Architectures

Yunsup Lee, Ronny Krashinsky, Vinod Grover, Stephen W. Keckler, Krste Asanovic

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Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, Data parallelism, nVidia, Performance

March 15, 2013 by hgpu

Prius: A Runtime for Hybrid Computing

Dominik Grewe

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Tags: Computer science, Heterogeneous systems, Hybrid computing, OpenCL

March 15, 2013 by hgpu

Simulation of a flowing snow avalanche using molecular dynamics

Denizhan Gucer, Halil Bulent Ozguc

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Tags: Algorithms, Collision detection, Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce 8800 GT, Rendering

March 14, 2013 by hgpu

Selection of Task Implementations in the Nanos++ Runtime

Judit Planas, Rosa M. Badia, Eduard Ayguade, Jesus Labarta

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

March 14, 2013 by hgpu

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Shanhui Sun

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Tags: CUDA, Image processing, Medicine, nVidia, Tesla C1060, Thesis, Ultrasound, Visualization

March 14, 2013 by hgpu

Parallel Particle Swarm Optimization for Image Segmentation

Agustinus Kristiadi, Pranowo Pranowo, Paulus Mudjihartono

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Tags: Clustering, CUDA, Image processing, nVidia, nVidia GeForce G 110 M, Particle swarm optimization

March 14, 2013 by hgpu

GPU implementation of a deep learning network for image recognition tasks

Sean Patrick Parker

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Tags: Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Thesis

March 12, 2013 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

Efficiency of Parallelization of Neural Network Algorithm on Graphic Cards

Astronomical Photometric Data Reduction Using GPGPU

Exploring power efficiency and optimizations targeting heterogeneous applications

iTree: Exploring Time-Varying Data using Indexable Tree

Real-time Rendering of Melting Objects in Video Games

Convergence and Scalarization for Data-Parallel Architectures

Prius: A Runtime for Hybrid Computing

Simulation of a flowing snow avalanche using molecular dynamics

Selection of Task Implementations in the Nanos++ Runtime

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Parallel Particle Swarm Optimization for Image Segmentation

GPU implementation of a deep learning network for image recognition tasks

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