Results 81 to 90 of about 77,762 (283)
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
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 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
FlashAbacus: A Self-Governing Flash-Based Accelerator for Low-Power Systems
, 2018 Energy efficiency and computing flexibility are some of the primary design constraints of heterogeneous computing. In this paper, we present FlashAbacus, a data-processing accelerator that self-governs heterogeneous kernel executions and data storage ...
Jung, Myoungsoo, Zhang, Jie
core +1 more source
Parallel 3D Bioprinting on SLIPS‐Microarrays
Advanced Functional Materials, EarlyView.This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg +3 more
wiley +1 more source
, 2019 Approximate computing is an emerging paradigm for developing highly energy-efficient computing systems such as various accelerators. In the literature, many libraries of elementary approximate circuits have already been proposed to simplify the design ...
Hanif, Muhammad Abdullah +4 more
core +2 more sources
2D hardware acceleration [PDF]
, 2018 The objective of the project is to develop an IP-core that provides hardware acceleration for common 2D rendering operations in an embedded system. The requirements for graphical user interfaces (GUI) on modern display and touchscreen based systems are increasing steadily. Rendering complex and attractive GUIs requires a lot of processing power.
Bodenmann, Joel, Corthay, François
openaire
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
CLAASIC: a Cortex-Inspired Hardware Accelerator
, 2016 This work explores the feasibility of specialized hardware implementing the Cortical Learning Algorithm (CLA) in order to fully exploit its inherent advantages.
Gregorio, José Ángel, Puente, Valentin
core
BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations
, 2017 Objective: The advent of High-Performance Computing (HPC) in recent years has led to its increasing use in brain study through computational models. The scale and complexity of such models are constantly increasing, leading to challenging computational ...
Al-Ars, Zaid +10 more
core +1 more source