Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System

2018 ◽  
Author(s):  
Gianvito Urgese ◽  
Luca Peres ◽  
Francesco Barchi ◽  
Enrico Macii ◽  
Andrea Acquaviva
Keyword(s):  
Multiple Alignment ◽  
Work In Progress ◽  
Efficient Communication ◽  
Neuromorphic System ◽  
Many Core

scholarly journals PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform

2021 ◽  
Vol 11 (2) ◽  
pp. 25
Author(s):  
Evelina Forno ◽  
Alessandro Salvato ◽  
Enrico Macii ◽  
Gianvito Urgese
Keyword(s):  
Parallel Execution ◽  
Spiking Neural Networks ◽  
Massively Parallel ◽  
Current Version ◽  
Hardware Platform ◽  
Pagerank Algorithm ◽  
Programming Paradigm ◽  
Neuromorphic Hardware ◽  
Efficient Communication ◽  
Many Core

SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, the platform features massively parallel computation and an efficient communication infrastructure based on the transmission of small packets. The effectiveness of SpiNNaker in the parallel execution of the PageRank (PR) algorithm has been tested by the realization of a custom SNN implementation. In this work, we propose a PageRank implementation fully realized with the MPI programming paradigm ported to the SpiNNaker platform. We compare the scalability of the proposed program with the equivalent SNN implementation, and we leverage the characteristics of the PageRank algorithm to benchmark our implementation of MPI on SpiNNaker when faced with massive communication requirements. Experimental results show that the algorithm exhibits favorable scaling for a mid-sized execution context, while highlighting that the performance of MPI-PageRank on SpiNNaker is bounded by memory size and speed limitations on the current version of the hardware.

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.

scholarly journals Structural Plasticity on the SpiNNaker Many-Core Neuromorphic System

2018 ◽  
Vol 12 ◽  
Author(s):  
Petruț A. Bogdan ◽  
Andrew G. D. Rowley ◽  
Oliver Rhodes ◽  
Steve B. Furber
Keyword(s):  
Structural Plasticity ◽  
Neuromorphic System ◽  
Many Core

Meridional Circulation, Turbulence, and Diffusion Processes in Stars

1976 ◽  
Vol 32 ◽  
pp. 109-116 ◽  
Author(s):  
S. Vauclair
Keyword(s):  
Convection Zone ◽  
Diffusion Processes ◽  
Meridional Circulation ◽  
Diffusion Time ◽  
Work In Progress ◽  
First Results ◽  
Stellar Envelopes ◽  
And Diffusion ◽  
Turbulence And Diffusion ◽  
Hr Diagram

This paper gives the first results of a work in progress, in collaboration with G. Michaud and G. Vauclair. It is a first attempt to compute the effects of meridional circulation and turbulence on diffusion processes in stellar envelopes. Computations have been made for a 2 Mʘstar, which lies in the Am - δ Scuti region of the HR diagram.Let us recall that in Am stars diffusion cannot occur between the two outer convection zones, contrary to what was assumed by Watson (1970, 1971) and Smith (1971), since they are linked by overshooting (Latour, 1972; Toomre et al., 1975). But diffusion may occur at the bottom of the second convection zone. According to Vauclair et al. (1974), the second convection zone, due to He II ionization, disappears after a time equal to the helium diffusion time, and then diffusion may happen at the bottom of the first convection zone, so that the arguments by Watson and Smith are preserved.

iPLEDGE Remains A Work in Progress

2007 ◽  
Vol 38 (3) ◽  
pp. 1-92
Author(s):  
CHRISTINE KILGORE
Keyword(s):  
Work In Progress

Accutane Program Remains a Work in Progress

2007 ◽  
Vol 40 (7) ◽  
pp. 16-17
Author(s):  
CHRISTINE KILGORE
Keyword(s):  
Work In Progress
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