Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 225,217,331 papers from all fields of science
Search
Sign In
Create Free Account
ARM Cortex-A9
Known as:
Cortex A9
, Cortex-A9 MPCore
, Cortex-A9
Expand
The ARM Cortex-A9 MPCore is a 32-bit processor core licensed by ARM Holdings implementing the ARMv7-A architecture. It is a multicore processor…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
40 relations
32-bit
ARM architecture
Alcatel One Touch Fire
Amazon Kindle
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Mitigation of Thermo-cycling effects in Flip-chip FPGA-based Space-borne Systems by Cyclic On-chip Task Relocation
L. Kirischian
,
V. Kirischian
,
Dimple Sharma
NASA/ESA Conference on Adaptive Hardware and…
2018
Corpus ID: 53727584
Thermal cycling is one of the major factors that influences aging, failure and thus, thereliability of FPGA-based systems…
Expand
2017
2017
Evaluation of the SEE sensitivity and methodology for error rate prediction of applications implemented in Multi-core and Many-core processors
Pablo Francisco Ramos Vargas
2017
Corpus ID: 70021822
The present thesis aims at evaluating the SEE static and dynamic sensitivity of three different COTS multi-core and many-core…
Expand
2016
2016
MacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture
Tong Geng
,
Luc Waeijen
,
Maurice Peemen
,
H. Corporaal
,
Yifan He
Euromicro Symposium on Digital Systems Design
2016
Corpus ID: 12116569
Single-Instruction-Multiple-Data (SIMD) architectures, which exploit data-level parallelism (DLP), are widely used to achieve…
Expand
2016
2016
Soft error analysis at sequential and parallel applications in ARM Cortex-A9 dual-core
G. Rodrigues
,
F. Kastensmidt
Latin American Test Symposium
2016
Corpus ID: 8843843
This work presents an analysis of the occurrence of software errors at ARM Cortex-A9 dual-core processor. Fault injection results…
Expand
2015
2015
Color tracking with contextual switching: real-time implementation on CPU
F. Laguzet
,
A. Terán
,
M. Gouiffès
,
L. Lacassagne
,
D. Etiemble
Journal of Real-Time Image Processing
2015
Corpus ID: 663492
The paper proposes contributions for mean-shift (MS) and covariance tracking (CT), and makes these two complementary methods…
Expand
2014
2014
VPPET: Virtual platform power and energy estimation tool for heterogeneous MPSoC based FPGA platforms
S. Rethinagiri
,
Oscar Palomar
,
J. Moreno
,
O. Unsal
,
A. Cristal
International Workshop on Power and Timing…
2014
Corpus ID: 1167099
Using low-power symmetric multi-cores on FPGAs are becoming ubiquitous in embedded computing. This is due to the emergence of…
Expand
2013
2013
Performance evaluation of LDPC decoding on a general purpose mobile CPU
S. Gronroos
,
J. Björkqvist
IEEE Global Conference on Signal and Information…
2013
Corpus ID: 15435638
This paper explores using a mobile platform for performing the calculations required for the building blocks of telecommunication…
Expand
2012
2012
Software-defined Radio based On Cortex-A9
Xin Wei
,
Xin Qi
,
Limin Xiao
,
Zhiyuan Shi
,
Lianfeng Huang
7th International Conference on Communications…
2012
Corpus ID: 8134152
This paper presents an implementation of Software-defined Radio (SDR) system over ARM Cortex-A9 processor. Compared with…
Expand
2012
2012
Affine Pairings on ARM
T. Acar
,
K. Lauter
,
M. Naehrig
,
D. Shumow
Pairing-Based Cryptography
2012
Corpus ID: 2110230
We report on relative performance numbers for affine and projective pairings on a dual-core Cortex A9 ARM processor. Using a fast…
Expand
2011
2011
A 1.6 GHz dual-core ARM Cortex A9 implementation on a low power high-K metal gate 32nm process
J. Koppanalil
,
Gus Yeung
,
Dermot O'Driscoll
,
Sean Householder
,
C. Hawkins
Proceedings of International Symposium on VLSI…
2011
Corpus ID: 14120286
This paper discusses the implementation details and silicon result of a 1.6 GHz dual-core Cortex-A9 on a low power High-K Metal…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE