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High Performance Low Power Embedded Vision Systems

Antonis S. Nikitakis

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Tags: Algorithms, ARM, Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCV, Thesis

July 22, 2014 by hgpu

Data Parallel Quadtree Indexing and Spatial Query Processing of Complex Polygon Data on GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia GeForce GTX Titan

July 20, 2014 by hgpu

An execution model for adaptive load-balancing on multicore and multi-GPU systems

Christopher Lauderdale, Robert Springer, Rishi Khan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2070

July 20, 2014 by hgpu

Performance-efficient mechanisms for managing irregularity in throughput processors

Minsoo Rhu

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance, Prefetch, Thesis

July 20, 2014 by hgpu

Algorithms for Large-Scale Power Delivery Network Analysis on Massively Parallel Architectures

Konstantis Daloukas

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Tags: Algorithms, Computer science, CUDA, nVidia, Power Systems Simulation, Tesla K20, Thesis

July 20, 2014 by hgpu

Water simulation for cell based sandbox games

Christian Lundell

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Tags: Algorithms, Fluid dynamics, Fluid simulation, Games, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 670, OpenGL, Thesis

July 20, 2014 by hgpu

Unsupervised Asset Cluster Analysis Implemented with Parallel Genetic Algorithms on the NVIDIA CUDA Platform

Dariusz Cieslakiewicz

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Tags: Algorithms, Cluster analysis, Clustering, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660 M, Thesis

July 18, 2014 by hgpu

Implementation & Parallelisation of FDTD code for Electromagnetic Scattering

Deshpande Varadendra Ravindra

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, MPI, nVidia, OpenMPI, Tesla C2070, Thesis

July 18, 2014 by hgpu

GPU acceleration of Runge Kutta-Fehlberg and its comparison with Dormand-Prince method

Wo Mei Seen, R. U. Gobithaasan, Kenjiro T. Miura

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GT 540 M, ODEs, Ordinary differential equations

July 18, 2014 by hgpu

Efficient On-the-fly Category Retrieval using ConvNets and GPUs

Ken Chatfield, Karen Simonyan, Andrew Zisserman

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Tags: Computer science, Computer vision, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX Titan, Pattern recognition

July 18, 2014 by hgpu

Suitability of NVIDIA GPUs for SKA1-Low

Alessio Magro, Kristian Zarb Adami, Mike Clark, Steve Ord

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Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 750 Ti, Signal processing, Tesla K40

July 18, 2014 by hgpu

Efficient implementation of computationally intensive algorithms on parallel computing platforms

Csaba Nemes

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 570, Tesla K20, Thesis

July 17, 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

High Performance Low Power Embedded Vision Systems

Data Parallel Quadtree Indexing and Spatial Query Processing of Complex Polygon Data on GPUs

An execution model for adaptive load-balancing on multicore and multi-GPU systems

Performance-efficient mechanisms for managing irregularity in throughput processors

Algorithms for Large-Scale Power Delivery Network Analysis on Massively Parallel Architectures

Water simulation for cell based sandbox games

Unsupervised Asset Cluster Analysis Implemented with Parallel Genetic Algorithms on the NVIDIA CUDA Platform

Implementation & Parallelisation of FDTD code for Electromagnetic Scattering

GPU acceleration of Runge Kutta-Fehlberg and its comparison with Dormand-Prince method

Efficient On-the-fly Category Retrieval using ConvNets and GPUs

Suitability of NVIDIA GPUs for SKA1-Low

Efficient implementation of computationally intensive algorithms on parallel computing platforms

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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