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High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP [PDF]
, 2012 This paper explores the pros and cons of reconfigurable computing in the form of FPGAs for high performance efficient computing. In particular, the paper presents the results of a comparative study between three different acceleration technologies ...
Akoglu, Ali +5 more
core +3 more sources
Secure Boot for Reconfigurable Architectures
Cryptography, 2020 Reconfigurable computing is becoming ubiquitous in the form of consumer-based Internet of Things (IoT) devices. Reconfigurable computing architectures have found their place in safety-critical infrastructures such as the automotive industry.
Ali Shuja Siddiqui +2 more
doaj +1 more source
Redsharc: A Programming Model and On-Chip Network for Multi-Core Systems on a Programmable Chip
International Journal of Reconfigurable Computing, 2012 The reconfigurable data-stream hardware software architecture (Redsharc) is a programming model and network-on-a-chip solution designed to scale to meet the performance needs of multi-core Systems on a programmable chip (MCSoPC).
William V. Kritikos +4 more
doaj +1 more source
ParaFPGA 2011 : high performance computing with multiple FPGAs : design, methodology and applications [PDF]
, 2012 ParaFPGA 2011 marks the third mini-symposium devoted to the methodology, design and implementation of parallel applications using FPGAs. The focus of the contributions is mainly on organizing parallel applications in multiple FPGAs.
D'Hollander, Erik +2 more
core +2 more sources
Operating System Concepts for Reconfigurable Computing: Review and Survey
International Journal of Reconfigurable Computing, 2016 One of the key future challenges for reconfigurable computing is to enable higher design productivity and a more easy way to use reconfigurable computing systems for users that are unfamiliar with the underlying concepts.
Marcel Eckert +3 more
doaj +1 more source
A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing
Algorithms, 2019 The convolutional neural network (CNN) is one of the most used deep learning models for image detection and classification, due to its high accuracy when compared to other machine learning algorithms.
Mário P. Véstias
doaj +1 more source
Image Processing in Intelligent Medical Robotic Systems
MATEC Web of Conferences, 2016 The paper deals with the use of high-performance computing systems with the parallel-operation architecture in intelligent medical systems, such as medical robotic systems, based on a computer vision system, is an automatic control system with the strict
Shashev Dmitriy
doaj +1 more source
Reconfigurable cellular computers
Information and Control, 1981 When a collection of processors P1,,Pn< operates in parallel, it is desirable that at any given stage of the computation, each {ifPi should have a task of about the same size to perform, and each {ifPi should require about the same amount of information from the other P's in order to perform its task.
Rosenfeld, Azriel, Wu, Angela Y.
openaire +1 more source
Reconfigurable Security: Edge Computing-based Framework for IoT
, 2017 In various scenarios, achieving security between IoT devices is challenging since the devices may have different dedicated communication standards, resource constraints as well as various applications.
Chen, Jyh-Cheng +3 more
core +1 more source
Logical operations with Localized Structures [PDF]
, 2012 We show how to exploit excitable regimes mediated by localized structures (LS) to perform AND, OR, and NOT logical operations providing full logical functionality. Our scheme is general and can be implemented in any physical system displaying LS.
Colet, Pere +3 more
core +3 more sources