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Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Compilation of sparse array programming models [PDF]

Proceedings of the ACM on Programming Languages, 2021
This paper shows how to compile sparse array programming languages. A sparse array programming language is an array programming language that supports element-wise application, reduction, and broadcasting of arbitrary functions over dense and sparse arrays with any fill value.
Fredrik Berg Kjolstad, Saman P Amarasinghe, Olivia Hsu   +2 more
exaly   +3 more sources

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Maximally economic sparse arrays and cantor arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
© 2017 IEEE. This work was supported in parts by the ONR grants N00014-15-1-2118 and N00014-17-1-2732, the NSF grant CCF-1712633, and the California Institute of Technology.
Chun-Lin Liu, P. P. Vaidyanathan
openaire   +2 more sources

Spray: Sparse Reductions of Arrays in OPENMP

2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
We present SPRAY, an open-source header-only C++ library for sparse reductions of arrays. SPRAY is meant for applications in which a large array is collaboratively updated by multiple threads using an associative and commutative operation such as +=. Especially when each thread accesses only parts of the array, SPRAY can perform significantly better ...
Jan Hückelheim, Johannes Doerfert
openaire   +1 more source

2D Beamforming on Sparse Arrays with Sparse Bayesian Learning

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Sparse arrays such as co-prime and nested arrays can identify more sources than the number of sensors. This is because their difference co-arrays contain a uniformly spaced virtual array with more elements than the number of sensors in the array. In this paper we demonstrate this using two dimensional co-prime and nested sparse arrays combined with ...
Santosh Nannuru, Peter Gerstoft
openaire   +1 more source

Tensor MUSIC in multidimensional sparse arrays

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
Tensor-based MUSIC algorithms have been successfully applied to parameter estimation in array processing. In this paper, we apply these for sparse arrays, such as nested arrays and coprime arrays, which are known to boost the degrees of freedom to O(N2) given O(N) sensors.
Chun-Lin Liu, P. P. Vaidyanathan
openaire   +2 more sources

Coherent array imaging with sparse arrays

Proceedings., International Conference on Image Processing, 2002
For coherent, phased-array imaging systems, sparse arrays are often used in which the aperture is not completely filled by the array. Often, the data that are not collected by the array are set to zero and an image is obtained through a straight-forward Fourier inversion.
openaire   +1 more source

Sparse Arrays: Fundamentals

2023
<p>© 2024 The Institute of Electrical and Electronics Engineers. Published by John Wiley & Sons.</p>
Vaidyanathan, Palghat P., Kulkarni, Pranav   +1 more
openaire   +2 more sources

Sparse array performance

The Journal of the Acoustical Society of America, 1977
A sparse array is formed from a linear equi-spaced array by omitting elements and substituting self- and crosspower terms from remaining elements to preserve the pattern and gain characteristics of the full array. However, the output noise is generally increased for any given averaging time.
Charles R. Greene, Roger C. Wood
openaire   +1 more source