A simple approach to determine the weighted factor by maximizing the estimated symbol vector reliability is developed. Besides, the complexity is remarkably reduced by exploiting scalar-vector and ...

In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, the column ...

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagat ...

This proposal introduces DXIL operations for vector-matrix operations that can be accelerated by the underlying hardware, building on support for long vectors described in proposals 0026 and 0030. The ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

An optimized Tensor/Matrix library for HPC applications an numerical relativity (AVX2/AVX512 and thread safe) with a Symbolic parser and Python wrapper - wirare/Tensorium_lib-ML ...