20.2.8 Multi-Processor Algorithms, Multi-Core, Cellular, Systolic

Chapter Contents (Back)
Parallel Algorithms. Cellular Automata.

Gerritsen, F.A.[Frans A.], Verbeek, P.W.[Piet W.],
Implementation of Cellular-Logic Operators Using 3X3 Convolution and Table Lookup Hardware,
CVGIP(27), No. 1, July 1984, pp. 115-123.
Elsevier DOI BibRef 8407

Guerra, C.,
Systolic Algorithms for Local Operations on Images,
TC(35), 1986, pp. 73-77. BibRef 8600

Pries, W., Thanailakis, A., Card, H.C.,
Group Properties of Cellular Automata and VLSI Applications,
TC(35), 1986, pp. 1013-1024. BibRef 8600

Ibarra, O.H., Kim, S.M., Palis, M.A.,
Designing Systolic Algorithms Using Sequential Machines,
TC(35), 1986, pp. 531-542. BibRef 8600

Ersoy, O.,
Semisystolic Array Implementation of Circular, Skew Circular, and Linear Convolutions,
TC(34), 1985, pp. 190-196. BibRef 8500

Lang, H.W., Schimmler, M., Schmeck, H., Schroder, H.,
Systolic Sorting on a Mesh-Connected Network,
TC(34), 1985, pp. 652-658. BibRef 8500

Groen, F.C.A., Foster, N.J.,
A Fast Algorithm for Cellular Logic Operations on Sequential Machines,
PRL(2), 1984, pp. 333-338. BibRef 8400

Lee, S., Kim, J.H., Groen, F.C.A.,
A fast computational method for minimum square error transform,
ICPR88(I: 392-394).
IEEE DOI 8811
BibRef

Pecht, J.,
Speeding-up Successive Minkowski Operations with Bit-Plane Computers,
PRL(3), 1985, pp. 113-117. BibRef 8500

Annaratone, M., Arnould, E., Gross, T., Kung, H.T., Lam, M., Menzilcioglu, O., and Webb, J.A.,
The Warp Computer: Architecture, Implementation and Performance,
TC(36), No. 12, December 1987, pp. 1523-1538. BibRef 8712

Shih, Z.C.[Zen-Cheung], Chen, G.H.[Gen-Huey], Lee, R.C.T.,
Systolic Algorithms to Examine All Pairs of Elements,
CACM(30), No. 2, February 1987, pp. 161-167. BibRef 8702

Krithivasan, K., Mahajan, M.,
Systolic Pyramid Automata, Cellular Automata and Array Languages,
PRAI(3), 1989, pp. 405-433. BibRef 8900

Comon, P., Robert, Y., Trystram, D.,
Systolic implementation of the adaptive solution to normal equations,
CVGIP(52), No. 3, December 1990, pp. 402-408.
Elsevier DOI 0501
BibRef

Crisman, J.D., and Webb, J.A.,
The Warp Machine on Navlab,
PAMI(13), No. 5, May 1991, pp. 451-465.
IEEE DOI BibRef 9105

de Saint Pierre, T., and Milgram, M.,
New and Efficient Cellular Algorithms for Image Processing,
CVGIP(55), No. 3, May 1992, pp. 261-274.
Elsevier DOI BibRef 9205

Serot, J., Quenot, G., Zavidovique, B.,
Functional Programming on a Data Flow Architecture: Applications In Real-Time Image Processing,
MVA(7), 1993, pp. 44-56. BibRef 9300

Allart, E., Zavidovique, B.,
Functional computer for low level image processing,
ICPR88(II: 830-832).
IEEE DOI 8811
BibRef

Wen, K.A., Su, J.Y., Lu, C.Y.,
VLSI Design of Digital Cellular Neural Networks for Image Processing,
JVCIR(5), 1994, pp. 117-126. BibRef 9400

Duff, M.J.B., Fountain, T.J.,
Algorithm design for image processing in the context of cellular logic,
IVC(12), No. 2, March 1994, pp. 80-94.
Elsevier DOI 0401
BibRef
And:
Enhancing the two-dimensional mesh,
ICPR90(II: 654-659).
IEEE DOI 9208
BibRef

Karafyllidis, I., Andreadis, I., Tzionas, P., Tsalides, P., Thanailakis, A.,
A Cellular-Automaton for the Determination of the Mean Velocity of Moving-Objects and Its VLSI Implementation,
PR(29), No. 4, April 1996, pp. 689-699.
Elsevier DOI BibRef 9604

Andreadis, I., Karafyllidis, I., Tzionas, P., Thanailakis, A., Tsalides, P.,
A New Hardware Module for Automated Visual Inspection Based on a Cellular-Automaton Architecture,
JIRS(16), No. 1, May 1996, pp. 89-102. 9608
BibRef

Kaufman, H.J., Sid-Ahmed, M.A.,
Hardware realization of a 2D IIR semisystolic filter with application to real-time homomorphic filtering,
CirSysVideo(3), No. 1, February 1993, pp. 2-14.
IEEE Top Reference. 0206
BibRef

Sid-Ahmed, M.A.,
A hardware structure for the automatic selection of multi-level thresholds in digital images,
PR(25), No. 12, December 1992, pp. 1517-1528.
Elsevier DOI 0401
BibRef

Sunder, S., Ramachandran, V.,
Systolic implementation of multidimensional nonrecursive digital filters,
CirSysVideo(3), No. 6, December 1993, pp. 399-407.
IEEE Top Reference. 0206
BibRef

Iyengar, G., Panchanathan, S.,
Systolic array architecture for Gabor decomposition,
CirSysVideo(5), No. 4, August 1995, pp. 355-359.
IEEE Top Reference. 0206
Gabor. BibRef

Shapiro, J.M., Staelin, D.H.,
Algorithms and systolic architectures for multidimensional adaptive filtering via McClellan transformations,
CirSysVideo(2), No. 1, March 1992, pp. 60-71.
IEEE Top Reference. 0206
BibRef

Tzionas, P.[Panagiotis],
A Cellular Automaton Processor for Line and Corner Detection in Gray-Scale Images,
RealTimeImg(6), No. 6, December 2000, pp. 461-470. 0101
BibRef

Karafyllidis, I., Ioannidis, A., Thanailakis, A., Tsalides, P.,
Geometrical Shape-Recognition Using a Cellular Automaton Architecture and Its VLSI Implementation,
RealTimeImg(3), No. 4, August 1997, pp. 243-254. 9710
BibRef

Morita, K., Ueno, S., Imai, K.,
Characterizing the Ability of Parallel Array Generators on Reversible Partitioned Cellular Automata,
PRAI(13), No. 4, June 1999, pp. 523. 0005
BibRef

Reynaga, R.[Rene], Amthauer, E.[Eligio],
Two-dimensional cellular automata of radius one for density classification task,
PRL(24), No. 15, November 2003, pp. 2849-2856.
Elsevier DOI 0308
BibRef

Mertoguno, S., Bourbakis, N.G.,
A digital retina-like low-level vision processor,
SMC-B(33), No. 5, October 2003, pp. 782-788.
IEEE Abstract. 0310
BibRef

Torres-Huitzil, C.[Cesar], Arias-Estrada, M.[Miguel],
Real-time image processing with a compact FPGA-based systolic architecture,
RealTimeImg(10), No. 3, June 2004, pp. 177-187.
Elsevier DOI 0410
BibRef

Torres-Huitzil, C.[César], Arias-Estrada, M.[Miguel],
FPGA-Based Configurable Systolic Architecture for Window-Based Image Processing,
JASP(2005), No. 7, 2005, pp. 1024-1034.
WWW Link. 0603
BibRef

Torres-Huitzil, C.,
Fast hardware architecture for grey-level image morphology with flat structuring elements,
IET-IPR(8), No. 2, February 2014, pp. 112-121.
DOI Link 1403
computer vision BibRef

Rosin, P.L.[Paul L.],
Training Cellular Automata for Image Processing,
IP(15), No. 7, July 2006, pp. 2076-2087.
IEEE DOI 0606
BibRef
Earlier: SCIA05(195-204).
Springer DOI 0506
BibRef

Rosin, P.L.[Paul L.],
Image processing using 3-state cellular automata,
CVIU(114), No. 7, July 2010, pp. 790-802.
Elsevier DOI 1007
Cellular automata; Threshold decomposition; State reduction; Feature selection; Denoising BibRef

Kim, J.Y.[Joo-Young], Oh, S.J.[Se-Jong], Lee, S.J.[Seung-Jin], Kim, M.S.[Min-Su], Oh, J.W.[Jin-Wook], Yoo, H.J.[Hoi-Jun],
An attention controlled multi-core architecture for energy efficient object recognition,
SP:IC(25), No. 5, June 2010, pp. 363-376.
Elsevier DOI 1007
Attention controlled; Multi-core architecture; Object recognition; Visual attention; Energy efficient BibRef

Chen, R.J.[Rong-Jian], Horng, S.J.[Shi-Jinn],
Novel SCAN-CA-based image security system using SCAN and 2-D von Neumann cellular automata,
SP:IC(25), No. 6, July 2010, pp. 413-426.
Elsevier DOI 1007
Image security; Stream cipher; Encryption and decryption; SCAN methodology; Cellular automata BibRef

Shkvarko, Y., Atoche, A.C.[A. Castillo], Torres-Roman, D.,
Near real time enhancement of geospatial imagery via systolic implementation of neural network-adapted convex regularization techniques,
PRL(32), No. 16, 1 December 2011, pp. 2197-2205.
Elsevier DOI 1112
Remote sensing imagery; Network of Systolic Arrays; Neural networks; Regularization BibRef

Akgün, D.[Devrim],
A practical parallel implementation for TDLMS image filter on multi-core processor,
RealTimeIP(13), No. 2, June 2017, pp. 249-260.
WWW Link. 1708
BibRef

Hassan, Y.F.[Yasser F.],
Multi-level thinking cellular automata using granular computing title,
IET-ITS(12), No. 6, August 2018, pp. 440-448.
DOI Link 1807
BibRef


Hesselbarth, S., Schewior, G., Blume, H.,
Fast and accurate power estimation for application-specific instruction set processors using FPGA emulation,
DASIP15(1-7)
IEEE DOI 1605
application specific integrated circuits BibRef

Martin, K.J.M., Eustache, Y., Diguet, J.P., Dinh Ngo, T., Casseau, E., Oliva, Y.,
Compa backend: A dynamic runtime for the execution of dataflow programs onto multi-core platforms,
DASIP15(1-2)
IEEE DOI 1605
data flow computing BibRef

Peña-Cantillana, F.[Francisco], Berciano, A.[Ainhoa], Díaz-Pernil, D.[Daniel], Gutiérrez-Naranjo, M.A.[Miguel Angel],
Parallel Skeletonizing of Digital Images by Using Cellular Automata,
CTIC12(39-48).
Springer DOI 1206
BibRef
Earlier: A1, A3, A2, A4:
A Parallel Implementation of the Thresholding Problem by Using Tissue-Like P Systems,
CAIP11(II: 277-284).
Springer DOI 1109
BibRef

Farabet, C.[Clement], Martini, B.[Berin], Corda, B.[Benoit], Akselrod, P.[Polina], Culurciello, E.[Eugenio], Le Cun, Y.L.[Yann L.],
NeuFlow: A runtime reconfigurable dataflow processor for vision,
ECVW11(109-116).
IEEE DOI 1106

See also Efficient Feedforward Categorization of Objects and Human Postures with Address-Event Image Sensors. BibRef

Sazish, A.N.[Abdul Naser], Chandrasekaran, S.[Shrutisagar], Amira, A.[Abbes],
Efficient systolic architecture and power modeling for finite ridgelet transform,
EmbedCV09(821-827).
IEEE DOI 0910
BibRef

Castillo Atoche, A., Torres Roman, D., Shkvarko, Y.,
Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays,
CIARP09(1070-1077).
Springer DOI 0911
BibRef

Lorenzo-Navarro, J.[Javier], Hernández, D.[Daniel], Guerra, C.[Cayetano], Isern-González, J.[José],
A Proposal for a Homeostasis Based Adaptive Vision System,
IbPRIA05(I:184).
Springer DOI 0509
BibRef

Kolesnik, M.[Marina], Barlit, A.[Alexander],
Iterative Orientation Tuning in V1: A Simple Cell Circuit with Cross-Orientation Suppression,
SCIA03(232-238).
Springer DOI 0310
BibRef

Stichling, D., Kleinjohann, B.,
CV-SDF -a model for real-time computer vision applications,
WACV02(325-329).
IEEE DOI 0303
Synchronous Data Flow model for vision. BibRef

Keil, M.S., Cristobal, G., Neumann, H.,
A neurodynamical retinal network based on reaction-diffusion systems,
CIAP01(209-214).
IEEE DOI 0210
BibRef

Ferretti, M., Rizzo, D.,
On the Synthesis of a Controller for Handling Borders in Systolic Architectures for 1-d Discrete Wavelet Transform,
MVA98(xx-yy). BibRef 9800

Melchert, W.,
Automatic flow control planning for real-time image processing devices,
ICIP96(III: 643-646).
IEEE DOI 9610
BibRef

Fejes, S., Vajda, F.,
A data-driven algorithm and systolic architecture for image morphology,
ICIP94(II: 550-554).
IEEE DOI 9411
BibRef

Feng, Z.Z.[Zhao-Zhi], Huang, Z.[Zailu], Chen, D.W.[Dao-Wen], Wan, F.[Faguan],
Systolic neural network architecture for second order hidden Markov models,
ICPR92(IV:186-189).
IEEE DOI 9208
BibRef

Gunzinger, A., Mathis, S., Guggenbuhl, W.,
The synchronous dataflow machine: a computer architecture for real time image processing,
ICPR90(II: 436-441).
IEEE DOI 9208
BibRef

Tyagi, A., Bayoumi, M.,
Systolic array implementation of image segmentation by a directed split and merge procedure,
ICPR90(II: 491-493).
IEEE DOI 9208
BibRef

Giordano, A., Maresca, M., Sandini, B., Vernazza, T., and Ferrari, D.,
A Systolic Convolver for Parallel, Multiresolution Edge Detection,
CVPR85(628-632). (Univ. of Genoa and ELSAG Electronica) Why different from Kung's work? BibRef 8500

Bono, C.M.[Claire M.], Webb, J.A.[Jon A.],
Object Recognition on a Systolic Array,
CMU-RI-TR-87-21, September 1987. BibRef 8709

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Hardware, VLSI Implementations, Embedded Processors, Sensor Processing .


Last update:Mar 16, 2024 at 20:36:19