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Coating Process Monitoring Using Computer Vision

Erik Veijola

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, OpenCV, Thesis

June 4, 2013 by hgpu

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Rafael Alejandro Vejarano, Phuong Thi Yen, Jeong-Gun Lee

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Tags: Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 460, OpenCL, Performance

June 4, 2013 by hgpu

Plasma Visualization in Parallel using Particle Systems on Graphical Processing Units

Timothy S. Lyes, K. A. Hawick

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Tags: Computer science, CUDA, Electrostatics, nVidia, nVidia GeForce GTX 680, nVidia Quadro FX 4000, Plasma physics, Rendering, Visualization

June 4, 2013 by hgpu

Using sparse optical flow for multiple Kinect applications

Kai Berger, Yannic Schroeder, Stefan Guthe, Marc Aurel Kastner

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 690, Optical flow

June 4, 2013 by hgpu

Data-driven versus Topology-driven Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 6000

June 4, 2013 by hgpu

GPU Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors

Martin Burtscher, Hassan Rabeti

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Tags: Algorithms, CAD, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 680

June 4, 2013 by hgpu

CUDA Leaks: Information Leakage in GPU Architectures

Roberto Di Pietro, Flavio Lombardi, Antonio Villani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Security, Tesla C2050

June 4, 2013 by hgpu

GPU-accelerated generation of correctly-rounded elementary functions

Pierre Fortin, Mourad Gouicem, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

June 2, 2013 by hgpu

GPUburn: A System to Test and Mitigate GPU Hardware Failures

David Defour, Eric Petit

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Tags: Benchmarking, Computer science, CUDA, Fault tolerance, nVidia, OpenCL, Tesla D870

June 2, 2013 by hgpu

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

Athanasios K. Grivas, Terrence Maky, Alex Yakovlev, Jonny Wrayz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560

June 2, 2013 by hgpu

On GPU Fourier Transformations

Giso Dal

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 480, Thesis

June 2, 2013 by hgpu

Task scheduling in hybrid CPU-GPU systems

Martin Krulis, Zbynek Falt, David Bednarek, Jakub Yaghob

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Operating systems, Task scheduling, Tesla M2090

June 2, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Coating Process Monitoring Using Computer Vision

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Plasma Visualization in Parallel using Particle Systems on Graphical Processing Units

Using sparse optical flow for multiple Kinect applications

Data-driven versus Topology-driven Irregular Computations on GPUs

GPU Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors

CUDA Leaks: Information Leakage in GPU Architectures

GPU-accelerated generation of correctly-rounded elementary functions

GPUburn: A System to Test and Mitigate GPU Hardware Failures

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

On GPU Fourier Transformations

Task scheduling in hybrid CPU-GPU systems

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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