Parallel Programming and Optimization Based on TMS320C6678

Xin Gang Mou; Guo Hua Wei; Xiao Zhou

doi:10.4028/www.scientific.net/AMM.615.259

Paper Titles

Majorized Algorithm and Best Efficiency Unbiased Estimation of Life Functions Parameter in Reliable Analysis of Existence and Life
p.240

Real-Time Signal Denoising Algorithm in Wheel Force Transducer
p.244

Research on the Image Enhancement Algorithm of Pointer Instrument under Inadequate Light
p.248

SINS Alignment Using Velocity Matching and Simplified Cubature Kalman Filter
p.255

Parallel Programming and Optimization Based on TMS320C6678
p.259

Speaker Identification Using a Novel Combination of Sparse Representation and Gaussian Mixture Models
p.265

Gliding Trajectory Optimization Method Based on Particle Swarm Optimization and Direct Shooting Method
p.270

Research on Anti-Saturation Attack Model of Ship Formation for Anti-Ship Missile Targets
p.276

The Effects of Noises in the Marr-Pirt Model
p.282

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 615Parallel Programming and Optimization Based on...

Parallel Programming and Optimization Based on TMS320C6678

Abstract:

The development of multi-core processors has provided a good solution to applications that require real-time processing and a large number of calculations. However, simply exploiting parallelism in software is hard to make full use of the hardware performance. This paper studies the parallel programming and optimization techniques on TMS320C6678 multicore digital signal processors. We firstly illustrate an implementation of a selected parallel image convolution algorithm by OpenMP. Then several optimization techniques such as compiler intrinsics, cache, DMA are used to further enhance the application performance and achieve a good execution time according to the test results.

You might also be interested in these eBooks

Automatic Control and Mechatronic Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 615)

Pages:

259-264

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.615.259

Citation:

Cite this paper

Online since:

August 2014

Authors:

Xin Gang Mou, Guo Hua Wei*, Xiao Zhou

Keywords:

Compiler Intrinsics, DMA, Image Convolution, OpenMP, Optimization, Parallel Processing, TMS320C6678

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Texas Instruments, Multicore Fixed and Floating-Point Digital Signal Processor, sprs691d. pdf, (2013).

Google Scholar

[2] Texas Instruments, SYS/BIOS Inter-Processor Communication (IPC) and I/O User's Guide, sprugo6d. pdf, (2011).

Google Scholar

[3] Texas Instruments, Multicore Programming Guide, sprab27b. pdf, (2012).

Google Scholar

[4] Tomas Fryza, Roman Mego, Low Level Source Code Optimizing for Single/Multi/core Digital Signal Processors, 23th Conference Radioelektronika, (2013).

DOI: 10.1109/radioelek.2013.6530933

Google Scholar

[5] Texas Instruments, TMS320C6000 Programmer's Guide, spru198k. pdf, (2011).

Google Scholar

[6] Richard Prokesch, Evaluation of parallelization of an image processing algorithm for an embedded multicore platform using manual parallelization and the OpenMP parallel framework, Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE, (2013).

DOI: 10.1109/iecon.2013.6699482

Google Scholar

[7] Texas Instruments, TMS320C6000 Optimizing Compiler v7. 4 User's Guide, spru187u. pdf, (2012).

Google Scholar

[8] Texas Instruments, TMS320C66x DSP Cache User Guide, sprugy8. pdf, (2010).

Google Scholar