… increase computational throughput. This strategy includes the integration of hyperspectral
… The hyperspectral in-memory computing system we propose has immense potential for …

… The recently proposed simple lossless algorithm (SLA) for on-board satellite hyperspectral
… to improve power efficiency, this work adopts in-memory-computing (IMC) technique for the …

… by color using a grating, completing the hyperspectral multiply-accumulate operation. In this
… To illustrate the hyperspectral operation, we presented an example test with a hyperspectral …

… Thus, storing in memory different matrices Hp for p ∈ {1,...,n} is unattainable, the HYCA … Hi
used in each window, thus requiring to store in memory just m different Hp matrices. Formally, …

… computing for improved throughput, energy efficiency, and reduced latency. This tutorial
provides a comprehensive guide to building hyperspectral … efficiency in memory access. Studies …

… For instance, the processes involved in the synchronization and data acquisition need to
be able to store the data in memory places that need to be read by the processes involved in …

… and data movement through inmemory computing. With optical … multiplexing, inspired by
hyperspectral imaging and advanced … While hyperspectral imaging involves 3D information as …

Remote-sensing platforms, such as Unmanned Aerial Vehicles, are characterized by limited
power budget and low-bandwidth downlinks. Therefore, handling hyperspectral data in this …

… in computing systems based … computing system capable of rivaling electronic computing
hardware still remains elusive. In this context, we propose a hyperspectral in-memory computing …

… a fault-tolerant abstraction for in-memory cluster computing, and provides fast and … in-memory
computing, and can run programs up to 100× faster than Hadoop MapReduce in memory, …