Results 101 to 110 of about 1,050,120 (328)
An Accelerator Design Using a MTCA Decomposition Algorithm for CNNs
Sensors, 2020 Due to the high throughput and high computing capability of convolutional neural networks (CNNs), researchers are paying increasing attention to the design of CNNs hardware accelerator architecture. Accordingly, in this paper, we propose a block parallel
Yunping Zhao +2 more
doaj +1 more source
Hardware Accelerated Graph Analytics
, 2022 Hardware Accelerated Graph ...
Deepak, Kumar, Shaler, Michael
openaire +1 more source
A Language and Hardware Independent Approach to Quantum-Classical Computing
, 2018 Heterogeneous high-performance computing (HPC) systems offer novel architectures which accelerate specific workloads through judicious use of specialized coprocessors.
Chen, Mengsu +5 more
core +1 more source
Multiscale Structuring of Hydroxyapatite via Two‐Photon Lithography of Nanocomposites
Advanced Functional Materials, EarlyView.Hydroxyapatite scaffolds are of great interest in bone tissue engineering applications, ranging from 3D cell culture to regenerative medicine. Using two‐photon lithography of a transparent nanocomposite, hydroxyapatite microstructures with features ranging from submicron to centimeter‐scale are fabricated. This allows to mimic the natural bone geometry,
Leonhard Hambitzer +6 more
wiley +1 more source
Fast approximation of the top‐k items in data streams using FPGAs
IET Computers & Digital Techniques, 2023 Two methods are presented for finding the top‐k items in data streams using Field Programmable Gate Arrays (FPGAs). These methods deploy two variants of a novel accelerator architecture capable of extracting an approximate list of the topmost frequently ...
Ali Ebrahim, Jalal Khalifat
doaj +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
, 2018 CPU-FPGA heterogeneous architectures are attracting ever-increasing attention in an attempt to advance computational capabilities and energy efficiency in today's datacenters.
Cong, Jason +3 more
core +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics
IEEE AccessThe ability to perform machine learning (ML) tasks in a database management system (DBMS) is a new paradigm for conventional database systems as it enables advanced data analytics on top of well-established capabilities of DBMSs. However, the integration
Ji-Hoon Kim +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source