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 ...
To create a parallel solution, I have broken down the averaging of the array elements into rows. Each thread is assigned a row and will then loop through each element in that row to calculate the new ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Highly parallel genomic assays have two fundamental characteristics: a highly parallel array-based read-out and an intrinsically scalable, multiplexing sample preparation. The power of highly parallel ...
The spatial phase distortion caused by a rough target causes a decoherence effect which, in turn, produces system sensitivity degradation. The decoherence phenomenon is the primary problem that ...
Originally proposed as a method to increase sensitivity by extending the locally high-sensitivity of small surface coil elements to larger areas, the term parallel imaging now includes the use of ...
Array of Structures or Structure of Arrays? Lets say we want to keep a bunch of 64 bit ints indexed by 16 bit ints. We could of course use a std::map, or std::unordered_map, but both of these have ...
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: In this paper an asynchronous array multiplier with a new parallel structure is introduced. This parallel array structure is designed to make the computation time faster with lower power ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results