Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Daniel Llamocca"'
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2010 (2010)
Dynamic partial reconfiguration (DPR) allows us to adapt hardware resources to meet time-varying requirements in power, resources, or performance. In this paper, we present two new DPR systems that allow for efficient implementations of 1D FIR filter
Externí odkaz:
https://doaj.org/article/f99add32e35743209730c9e94565ee04
Autor:
Daniel N. Aloi, Daniel Llamocca
Publikováno v:
Microprocessors and Microsystems. 60:1-14
We present a self-reconfigurable embedded system for a switched beam smart antenna that can steer the beam pattern into a desired direction, handle arithmetic overflow, and respond to user-specified constraints on accuracy and resources. The main com
Autor:
Daniel Llamocca
Publikováno v:
Journal of Parallel and Distributed Computing. 109:178-192
This work introduces a run-time reconfigurable system for HEVC Forward and Inverse Transforms that can adapt to time-varying requirements on resources, throughput, and video coding efficiency. Three scalable designs are presented: fully parallel, sem
Publikováno v:
IEEE Transactions on Image Processing. 26:2230-2245
The manuscript describes fast and scalable architectures and associated algorithms for computing convolutions and cross-correlations. The basic idea is to map 2D convolutions and cross-correlations to a collection of 1D convolutions and cross-correla
Publikováno v:
IEEE Transactions on Image Processing. 25:119-133
The Discrete Periodic Radon Transform (DPRT) has been extensively used in applications that involve image reconstructions from projections. This manuscript introduces a fast and scalable approach for computing the forward and inverse DPRT that is bas
Autor:
Michael Losh, Daniel Llamocca
Publikováno v:
Electronics
Volume 8
Issue 12
Volume 8
Issue 12
Modern massively-parallel Graphics Processing Units (GPUs) and Machine Learning (ML) frameworks enable neural network implementations of unprecedented performance and sophistication. However, state-of-the-art GPU hardware platforms are extremely powe
Publikováno v:
MWSCAS
This work presents a reconfigurable embedded implementation of a fly-inspired edge detection algorithm that allows for run-time alteration of the numerical format in response to constraints on accuracy and resources. The low-resource, high-performanc
Publikováno v:
EIT
This work presents a custom hardware architecture for crank-angle-resolved engine cylinder pressure estimation that can accept inputs such as speed, manifold pressure and throttle position, and deliver cylinder pressure in real-time, at engine speeds
Publikováno v:
SAE Technical Paper Series.
Autor:
Daniel Llamocca, Marios S. Pattichis
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 7:1-30
There is strong interest in the development of dynamically reconfigurable systems that can meet real-time constraints on energy, performance, and accuracy. The generation of real-time constraints will significantly expand the applicability of dynamic