scholarly journals Wavefront/Systolic Algorithms for Implementation of Stereo Vision and Obstacle Avoidance Computations on a Very Low Power MIMD Many-Core Parallel Architecture: Applications for Mobile Systems and Wearable Visual Guidance"

10.5772/46028 ◽  
2012 ◽  
Author(s):  
Francesco Diotalevi ◽  
Amir Fijany ◽  
Giulio Sandini
Keyword(s):  
Low Power ◽  
Obstacle Avoidance ◽  
Stereo Vision ◽  
Parallel Architecture ◽  
Mobile Systems ◽  
Visual Guidance ◽  
Many Core ◽  
Systolic Algorithms

Very low power parallel implementation of stereo vision algorithm on a solar cell powered MIMD many core architecture

2011 ◽  
Author(s):  
Francesco Diotalevi ◽  
Amir Fijany ◽  
Michael Montvelishsky ◽  
Jean-Guy Fontaine
Keyword(s):  
Solar Cell ◽  
Low Power ◽  
Stereo Vision ◽  
Parallel Implementation ◽  
Many Core ◽  
Vision Algorithm

Architecture and Evaluation of Low Power Many-Core SoC with Two 32-Core Clusters

2014 ◽  
Vol E97.C (4) ◽  
pp. 360-368
Author(s):  
Takashi MIYAMORI ◽  
Hui XU ◽  
Hiroyuki USUI ◽  
Soichiro HOSODA ◽  
Toru SANO ◽  
...  
Keyword(s):  
Low Power ◽  
Many Core

scholarly journals Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1342
Author(s):  
Gianvito Urgese ◽  
Francesco Barchi ◽  
Emanuele Parisi ◽  
Evelina Forno ◽  
Andrea Acquaviva ◽  
...  
Keyword(s):  
Dna Sequence ◽  
Parallel Architecture ◽  
General Purpose ◽  
Sequence Matching ◽  
Matching Algorithm ◽  
Computing Platform ◽  
Globally Asynchronous Locally Synchronous ◽  
Efficient Communication ◽  
The Many ◽  
Many Core

SpiNNaker is a neuromorphic globally asynchronous locally synchronous (GALS) multi-core architecture designed for simulating a spiking neural network (SNN) in real-time. Several studies have shown that neuromorphic platforms allow flexible and efficient simulations of SNN by exploiting the efficient communication infrastructure optimised for transmitting small packets across the many cores of the platform. However, the effectiveness of neuromorphic platforms in executing massively parallel general-purpose algorithms, while promising, is still to be explored. In this paper, we present an implementation of a parallel DNA sequence matching algorithm implemented by using the MPI programming paradigm ported to the SpiNNaker platform. In our implementation, all cores available in the board are configured for executing in parallel an optimised version of the Boyer-Moore (BM) algorithm. Exploiting this application, we benchmarked the SpiNNaker platform in terms of scalability and synchronisation latency. Experimental results indicate that the SpiNNaker parallel architecture allows a linear performance increase with the number of used cores and shows better scalability compared to a general-purpose multi-core computing platform.

Real-Time Active SLAM and Obstacle Avoidance for an Autonomous Robot Based on Stereo Vision

2019 ◽  
Vol 50 (3) ◽  
pp. 239-260 ◽  
Author(s):  
V. S. Kalogeiton ◽  
K. Ioannidis ◽  
G. Ch. Sirakoulis ◽  
E. B. Kosmatopoulos
Keyword(s):  
Real Time ◽  
Obstacle Avoidance ◽  
Stereo Vision ◽  
Autonomous Robot
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