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49
Understanding the Interconnection Network of SpiNNaker
"... SpiNNaker is a massively parallel architecture designed to model large-scale spiking neural networks in (biological) real-time. Its design is based around ad-hoc multi-core System-on-Chips which are interconnected using a two-dimensional toroidal triangular mesh. Neurons are modeled in software and ..."
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SpiNNaker is a massively parallel architecture designed to model large-scale spiking neural networks in (biological) real-time. Its design is based around ad-hoc multi-core System-on-Chips which are interconnected using a two-dimensional toroidal triangular mesh. Neurons are modeled in software
Combining propagation information and search tree visualization using ILOG OPL studio. November 16 2001
- In A. Kusalik (ed), Proceedings of the Eleventh International Workshop on Logic Programming Environments (WLPE’01
"... In this paper we give an overview of the current state of the graphical features provided by ILOG OPL Studio for debugging and performance tuning of OPL programs or external ILOG Solver based applications. This paper focuses on combining propagation and search information using the Search Tree view ..."
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Cited by 3 (0 self)
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and the Propagation Spy. A new synthetic view is presented: the Christmas Tree, which combines the Search Tree view with statistics on the efficiency of the domain reduction and on the number of the propagation events triggered.
Population-Based Routing in the SpiNNaker Neuromorphic Architecture
"... Abstract—SpiNNaker is a hardware-based massively-parallel real-time universal neural network simulator designed to simu-late large-scale spiking neural networks. Spikes are distributed across the system using a multicast packet router. Each packet represents an event (spike) generated by a neuron. O ..."
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Abstract—SpiNNaker is a hardware-based massively-parallel real-time universal neural network simulator designed to simu-late large-scale spiking neural networks. Spikes are distributed across the system using a multicast packet router. Each packet represents an event (spike) generated by a neuron
P oS(Integral08)028 Positron Propagation and the INTEGRAL/SPI 511 keV Bulge/Disk Ratio
"... The Galactic bulge/disk ratio of 511 keV positron annihilation radiation measured by INTE-GRAL/SPI and the bulge/disk ratio of Galactic supernovae differ significantly. We show, however, that this difference can be understood in the context of a Galactic supernova origin of positrons from decay of n ..."
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The Galactic bulge/disk ratio of 511 keV positron annihilation radiation measured by INTE-GRAL/SPI and the bulge/disk ratio of Galactic supernovae differ significantly. We show, however, that this difference can be understood in the context of a Galactic supernova origin of positrons from decay
SpyLoc: A Light Weight Localization System for Smartphones
"... In this paper, we propose and addresses the challenge of designing a light-weight high-accuracy indoor/outdoor localization system (Spy-Loc) for off-the-shelf smartphones. In SpyLoc, we want to leverages both the acoustic interface (microphone/speaker) and the Wi-Fi inter-face at the kernel-level of ..."
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Cited by 1 (0 self)
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In this paper, we propose and addresses the challenge of designing a light-weight high-accuracy indoor/outdoor localization system (Spy-Loc) for off-the-shelf smartphones. In SpyLoc, we want to leverages both the acoustic interface (microphone/speaker) and the Wi-Fi inter-face at the kernel
Analytical Assessment of the Suitability of Multicast Communications for the SpiNNaker Neuromimetic System
"... Abstract—SpiNNaker is a custom-made architecture designed to model large-scale spiking neural nets. One of the most sig-nificant characteristics of neural nets is their extreme commu-nication needs; each neuron propagates its activation to thou-sands of other neurons. This paper shows analytical pro ..."
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Abstract—SpiNNaker is a custom-made architecture designed to model large-scale spiking neural nets. One of the most sig-nificant characteristics of neural nets is their extreme commu-nication needs; each neuron propagates its activation to thou-sands of other neurons. This paper shows analytical
Author manuscript, published in "11th IEEE Workshop on Signal Propagation on Interconnects (SPI'07), Genova: Italie (2007)" Equalization of Interconnect Propagation Delay with Negative Group Delay Active Circuits
, 2010
"... In this paper, we propose a technique to compensate the propagation delay and losses in VLSI interconnects by using negative group delay (NGD) active circuits. This study uses the RLC models of interconnect lines currently considered in VLSI circuits. The circuit proposed here is based on a cell con ..."
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In this paper, we propose a technique to compensate the propagation delay and losses in VLSI interconnects by using negative group delay (NGD) active circuits. This study uses the RLC models of interconnect lines currently considered in VLSI circuits. The circuit proposed here is based on a cell
Combustion Characteristics of Polyurethane Foams Covered with Fabrics*—An SPI
, 1990
"... ABSTRACT: Combustion-modified polyurethane flexible foams can exhibit different flammability characteristics when covered with a fabric than when the foam alone is exposed to the same conditions. Recognizing this, regulatory and advisory agencies have turned to composite testing rather than componen ..."
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-tee previously reported a classification system for foams alone using ASTM E 906 as the test procedure. Using piloted ignition and an imposed flux of 1.75 Watts/cm2,the foams could be partially classified. When the self-propagating flux values were added to the prior data, a classification system was developed
Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem
"... The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginals over covers that represent clusters of solutions. The SP-y algorithm generalizes SP to work on the maximum satisfiabili ..."
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Cited by 1 (0 self)
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The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginals over covers that represent clusters of solutions. The SP-y algorithm generalizes SP to work on the maximum
(DOI: will be inserted by hand later) 3D kinematics of white dwarfs from the SPY project ⋆
, 2003
"... We present kinematics of a sample of 107 DA white dwarfs from the SPY project (ESO SN Ia Progenitor surveY) and discuss kinematic criteria for a distinction of thin disk, thick disk, and halo populations. This is the first homogeneous sample of white dwarfs for which 3D space motions have been deter ..."
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We present kinematics of a sample of 107 DA white dwarfs from the SPY project (ESO SN Ia Progenitor surveY) and discuss kinematic criteria for a distinction of thin disk, thick disk, and halo populations. This is the first homogeneous sample of white dwarfs for which 3D space motions have been
Results 1 - 10
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49