Image and Signal Processing | Page 15

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Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 780 Ti, SAT

October 14, 2014 by hgpu

Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

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Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 by hgpu

Movement Tracking in Terrain Conditions Accelerated with CUDA

Piotr Sklodowski, Witold Zorski

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 650 Ti

October 8, 2014 by hgpu

Real-time Multi-view Depth Generation Using CUDA Multi-GPU

Eunsang Ko, Yunseok Song, and Yo-Sung Ho

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX Titan

October 6, 2014 by hgpu

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Alaettin Zubaroglu

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Tags: CUDA, nVidia, Raytracing, Signal processing, Tesla C2075, Tesla K20, Thesis

October 4, 2014 by hgpu

Implementation of a Multi-User Detector for Satellite Return Links on a GPU Platform

Francisco Lazaro Blasco, Chen Tang

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Tags: CUDA, nVidia, Signal processing, Tesla C2070

September 30, 2014 by hgpu

A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction

Chulian Zhang, Hamed Tabkhi, Gunar Schirner

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2075

September 29, 2014 by hgpu

Decoupling algorithms from the organization of computation for high performance image processing

Fredo Durand, Saman Amarashinghe

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2070, Thesis

September 29, 2014 by hgpu

GPU Accelerated Parallel Iris Segmentation

Kritika Kurani

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Tags: Algorithms, Biometrics, CUDA, Image processing, nVidia, nVidia Quadro 1000 M, Thesis

September 17, 2014 by hgpu

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

Liu Fei, Li Fan, Zhao Jianhui

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Tags: Algorithms, CUDA, FFT, nVidia, Signal processing, Tesla K20

September 5, 2014 by hgpu

Encrypting video and image streams using OpenCL code on-demand

Juan P. D'Amato, Marcelo J. Venere

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 550, OpenCL, Security

August 23, 2014 by hgpu

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

Moritz Schmid, Oliver Reiche, Christian Schmitt, Frank Hannig, Jurgen Teich

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Tags: ARM, Code generation, Compilers, Computational Complexity, Computer science, Differential equations, FPGA, Image processing, Partial differential equations, PDEs

August 23, 2014 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Performance Improvement of Multichannel Audio by Graphics Processing Units

Movement Tracking in Terrain Conditions Accelerated with CUDA

Real-time Multi-view Depth Generation Using CUDA Multi-GPU

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Implementation of a Multi-User Detector for Satellite Return Links on a GPU Platform

A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction

Decoupling algorithms from the organization of computation for high performance image processing

GPU Accelerated Parallel Iris Segmentation

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

Encrypting video and image streams using OpenCL code on-demand

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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