Homogeneous multicomputer type DSP system NOVI for parallel signal processing

2003 ◽  
Author(s):  
N. Ohta ◽  
T. Fujii ◽  
Y. Kanayama ◽  
S. Ono
Keyword(s):  
Signal Processing ◽  
Dsp System ◽  
Parallel Signal Processing

Performance Evaluation Issues in Real-Time Parallel Signal Processing and Control

1997 ◽  
Vol 42 (1) ◽  
pp. 67-74 ◽  
Author(s):  
M.O. Tokhi ◽  
M.A. Hossain ◽  
M.J. Baxter ◽  
P.J. Fleming
Keyword(s):  
Signal Processing ◽  
Performance Evaluation ◽  
Real Time ◽  
And Control ◽  
Parallel Signal Processing

HARP2: An X-Scale Reconfigurable Accelerator-Rich Platform for Massively-Parallel Signal Processing Algorithms

2015 ◽  
Vol 85 (3) ◽  
pp. 341-353 ◽  
Author(s):  
Waqar Hussain ◽  
Roberto Airoldi ◽  
Henry Hoffmann ◽  
Tapani Ahonen ◽  
Jari Nurmi
Keyword(s):  
Signal Processing ◽  
Massively Parallel ◽  
Signal Processing Algorithms ◽  
Processing Algorithms ◽  
Parallel Signal Processing

Parallel Programming and Its Architectures Based on Data Access Separated Algorithm Kernels

2012 ◽  
pp. 278-296
Author(s):  
Dake Liu ◽  
Joar Sohl ◽  
Jian Wang
Keyword(s):  
Signal Processing ◽  
Parallel Programming ◽  
High Performance ◽  
Data Access ◽  
Time Signal ◽  
Hardware System ◽  
Memory Subsystem ◽  
Computing Performance ◽  
Processing Platform ◽  
Parallel Signal Processing

A novel master-multi-SIMD architecture and its kernel (template) based parallel programming flow is introduced as a parallel signal processing platform. The name of the platform is ePUMA (embedded Parallel DSP processor architecture with Unique Memory Access). The essential technology is to separate data accessing kernels from arithmetic computing kernels so that the run-time cost of data access can be minimized by running it in parallel with algorithm computing. The SIMD memory subsystem architecture based on the proposed flow dramatically improves the total computing performance. The hardware system and programming flow introduced in this article will primarily aim at low-power high-performance embedded parallel computing with low silicon cost for communications and similar real-time signal processing.

Massively parallel signal processing architecture based on response of retina cells

1994 ◽  
Author(s):  
Nathan A. Wilkins ◽  
Mustafa A. G. Abushagur ◽  
H. John Caulfield
Keyword(s):  
Signal Processing ◽  
Massively Parallel ◽  
Processing Architecture ◽  
Parallel Signal Processing

Simulation of A/D Conversion with LabView

2013 ◽  
Vol 706-708 ◽  
pp. 1907-1910
Author(s):  
Bing Wang ◽  
Xiao Li Wang
Keyword(s):  
Signal Processing ◽  
Model Simulation ◽  
Signal Process ◽  
Dual Channel ◽  
Simulink Model ◽  
Analog Signals ◽  
Simultaneous Acquisition ◽  
Parallel Environment ◽  
And Performance ◽  
Parallel Signal Processing

Simulation technology was a very important technology in the parallel signal processing research. A type of antomatic controlling simulation system was introduced, which was built by taking LabVIEW as the software platform, using LabVIEW user interface interacting with the Simulink model. Simulation of processing often requires algorithm and performance evaluation of parallel environment. Signal processing often requires simultaneous acquisition of multi-channel analog signals. Taking dual-channel A/D conversion processes as an example, using LabVIEW with VC, it achieves a simulation of parallel signal process of A/D conversion process.

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