Image and Signal Processing | Page 14

Jayanth Chennamangalam, Simon Scott, Glenn Jones, Hong Chen, John Ford, Amanda Kepley, D. R. Lorimer, Jun Nie, Richard Prestage, D. Anish Roshi, Mark Wagner, Dan Werthimer

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX Titan, Package, Signal processing

November 5, 2014 by hgpu

Hierarchical Mapping Techniques for Signal Processing Systems on Parallel Platforms

Lai-Huei Wang

View

Download (PDF)

Tags: Computer vision, CUDA, Design space exploration, DSP, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 680, Signal processing, Thesis

October 31, 2014 by hgpu

Sparse Recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm

Achal Shah, Angshul Majumdar

View

Download (PDF)

Tags: Algorithms, CUDA, Machine learning, nVidia, nVidia GeForce GTX 680, Signal processing

October 29, 2014 by hgpu

cufftShift: High Performance CUDA-accelerated FFT-shift Library

Marwan Abdellah

View

Download (PDF)

Source codes

Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 580, Package

October 24, 2014 by hgpu

Improved Integral Histogram Algorithm for Big Sized Images in CUDA Environment

Chang Won Lee, Tae-Young Choe

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 670

October 24, 2014 by hgpu

Fast-Fourier-Transform-Based Electrical Noise Measurements

Alexander Schade

View

Download (PDF)

Tags: Data acquisition, nVidia, nVidia GeForce GTX 680, OpenCL, Signal processing, Thesis

October 20, 2014 by hgpu

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Ilker Gurcan

View

Download (PDF)

Tags: CUDA, Image processing, nVidia, Security, Tesla K40, Thesis, Video tracking

October 18, 2014 by hgpu

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

Massimiliano Fatica, Everett Phillips

View

Download (PDF)

Tags: CUDA, nVidia, nVidia Jetson TK1, SAR, Signal processing

October 14, 2014 by hgpu

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

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

The Implementation of a Real-Time Polyphase Filter

Mobile GPU Computing Based Filter Bank Convolution for Three-dimensional Wavelet Transform

Parallelization techniques of the x264 video encoder

A GPU-Based Wide-Band Radio Spectrometer

Hierarchical Mapping Techniques for Signal Processing Systems on Parallel Platforms

Sparse Recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm

cufftShift: High Performance CUDA-accelerated FFT-shift Library

Improved Integral Histogram Algorithm for Big Sized Images in CUDA Environment

Fast-Fourier-Transform-Based Electrical Noise Measurements

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

Recent source codes

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

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Most viewed papers (last 30 days)