Hardware neural network (HNN) based on analog synapse array excels in accelerating parallel computations. To implement an energy-efficient HNN with high accuracy, high-precision synaptic devices and ...

Scarcely a lighting application exists that designers have not considered converting to solid-state lighting, especially as LEDs by leaps and bounds improve both the quantity and the quality of their ...

2.5-Gbps per channel VCSEL-based 1310-nm array modules have been unleashed for use in SONET/OC-48 applications, including dense optical networking equipment andoptical backplane interconnects.

Abstract: An L-parallel coprime array is designed and an Off-grid sparse learning via iterative minimization (OGSLIM) algorithm is proposed in order to improve the performance of Two-dimensional ...

Abstract: This paper proposes an improved co-prime parallel array (CPPA) configuration for two-dimensional direction of arrival (2-D DOA) estimation. Specifically, the proposed array consists of a ...

This application is created with the purpose the compare two implementations of the same algorithm, serial implementation, and parallel implementation. First, iterate each element of the array and ...

In this assignment one has to develop an efficient implemention of the Parallel Sum Reduction operator that computes the sum of a large array of values in both OpenMP and OpenCL. A prime criterion in ...