A data and task parallel image processing environment

Authors:
Cristina Nicolescu;Pieter Jonker
Affiliations:
Philips CFT, Industrial Vision, P.O. Box 218/SAN-6089, 5600 MD Eindhoven, Netherlands and Faculty of Applied Physics, Pattern Recognition Group, Delft University of Technology, Lorentzweg 1, 2628 ...;Faculty of Applied Physics, Pattern Recognition Group, Delft University of Technology, Lorentzweg 1, 2628 CJ Delft, Netherlands
Venue:
Parallel Computing - Parallel computing in image and video processing
Year:
2002

Citing 11
Cited 8

Algorithmic skeletons: structured management of parallel computation

Algorithmic skeletons: structured management of parallel computation
Parallel algorithms: for digital image processing, computer vision and neural networks

Parallel algorithms: for digital image processing, computer vision and neural networks
Fortran M: a language for modular parallel programming

Journal of Parallel and Distributed Computing
Parallel skeletons for structured composition

PPOPP '95 Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming
A new model for integrated nested task and data parallel programming

PPOPP '97 Proceedings of the sixth ACM SIGPLAN symposium on Principles and practice of parallel programming
A Framework for Exploiting Task and Data Parallelism on Distributed Memory Multicomputers

IEEE Transactions on Parallel and Distributed Systems
A task- and data-parallel programming language based on shared objects

ACM Transactions on Programming Languages and Systems (TOPLAS)
Optimal use of mixed task and data parallelism for pipelined computations

Journal of Parallel and Distributed Computing
MPI-The Complete Reference, Volume 1: The MPI Core

MPI-The Complete Reference, Volume 1: The MPI Core
A Multiple-Baseline Stereo

IEEE Transactions on Pattern Analysis and Machine Intelligence
CPR: Mixed Task and Data Parallel Scheduling for Distributed Systems

IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium

Finite State Machine-Based Optimization of Data Parallel Regular Domain Problems Applied in Low-Level Image Processing

IEEE Transactions on Parallel and Distributed Systems
Commodity cluster-based parallel processing of hyperspectral imagery

Journal of Parallel and Distributed Computing
High-Performance Distributed Video Content Analysis with Parallel-Horus

IEEE MultiMedia
An experimental comparison of parallel algorithms for hyperspectral analysis using heterogeneous and homogeneous networks of workstations

Parallel Computing
Development platform for parallel image processing

SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Towards high performance cell segmentation in multispectral fine needle aspiration cytology of thyroid lesions

Computer Methods and Programs in Biomedicine
User Transparent Data and Task Parallel Multimedia Computing with Pyxis-DT

CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
User transparent data and task parallel multimedia computing with Pyxis-DT

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper presents a data and task parallel low-level image processing environment for distributed memory systems. Image processing operators are parallelized by data decomposition using algorithmic skeletons. Image processing applications are parallelized by task decomposition, based on the image application task graph. In this way, an image processing application can be parallelized both by data and task decomposition, and thus better speed-ups can be obtained. We validate our method on the multi-baseline stereo vision application.