Search Results - acm: c.: computer systems organizacion/c.1: process architectural/c.1.4: parallel architectural*
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Source: ftp://www.cos.ufrj.br/pub/tech_reps/es47798.ps.gz
Subject Terms: DSM architectures, performance evaluation, logic programming
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Subject Terms: Cyber-Physical Systems, parallel computing systems, a set of interrelated works, multilevel stochastic modeling, Markov process, distribution function of a random variable
Subject Geographic: Львів
File Description: 26-32; application/pdf; image/png
Relation: Advances in Cyber-Physical Systems, 1 (3), 2018; 1. Tsvetkov V. Ya., Alpatov A. N. Problems of distributed systems // Prospects of science and education – 2014. – No. 6. – P. 31–36.; 2. Khaitan et al., “Design Techniques and Applications of Cyber Physical Systems: A Survey”, IEEE Systems Journal, 2014.; 3. Rad, Ciprian-Radu; Hancu, Olimpiu; Takacs, Ioana-Alexandra; Olteanu, Gheorghe (2015). “Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture”. Conference Agriculture for Life, Life for Agriculture. 6: 73–79.; 4. Bocharov P. L., Ignatushchenko V. V. Mathematical models and methods for evaluating the effectiveness of parallel computing systems on complexes of interrelated jobs // Tez. report international conf, “High-Performance Computing Systems in Management and Scientific Research,” Alma-Ata, 1991, p. 6.; 5. Ignatushchenko V. V., Klushin Y. S. Prediction of the implementation of complex software systems on parallel computers: direct stochastic modeling // Automation and Remote Control. 1994. No. 12, p. 142–157.; 6. Khritankov A. S. Mathematical model of performance characteristics of distributed computing systems. Computer science, management, economics. JOBS OF MIPT. – 2010. – Vol. 2, No. 1 (5), p. 110–115.; 7. Ivutin A. N., Larkin E. V. Prediction of the execution time of the algorithm. Magazine. News of TSU. Technical science. Issue number 3/2013 C 301–315.; 8. Ivanov N. N. Mathematical prediction of reliable execution of sets of tasks with symmetric runtime distributions. Journal of Open Education, Issue No. 2–2 / 2011, p. 52–55.; 9. Kulagin V. P., Problems of parallel computing systems Perspectives of Science & Education. 2016. 1 (19) International Scientific Electronic Journal ISSN 2307–2334 (Online); 11. Salibekyan S. M., Panfilov P. B. Questions of automaton-network modeling of computer systems with data flow control // Information technologies and computer systems. 2015. No. 1. P. 3–9.; 12. Kulikov, I., Chernykh, I., Glinsky, B., Weins, D., Shmelev, A. Astrophysics simulation on RSC massively parallel architecture // Proc. 2015 IEEE/ACM 15th Int. Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015. IEEE Press, 2015.1131–1134.; 13. Boccara N. Modeling Complex Systems. NY: Springer, 2004. 397 p.; 14. Lublinsky B. Defining SOA as an architectural style. 9 January 2007. [Electronic resource]: .; 15. Ivanov S.V., Identification of Parametrically Connected Models of Complex Systems, Nauch.-tekhnich. we know SPSU ITMO. Highperformance computing and computer modeling technologies. 2008. Vol. 54. pp. 100–107.; 16. Ivanov N. N., Ignatushchenko V. V., Mikhailov A. Y., Static prediction of the execution time of complexes of interrelated jobs in multiprocessor computing systems, Avtomat. and Telemekh., 2005, issue 6, 89–103.; 17. Ignatushchenko V. V., Klushin Y. S. Prediction of the implementation of complex software systems on parallel computers: direct stochastic modeling // Automation and Remote Control. 1994. N12, p. 142–157.; 18. Klushin, Y. S. Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling. Bulletin of NU “Lviv; 19. Klushin Y. S. reducing the number of states of the Markov process when executing complex software systems on parallel computers. Scientific Bulletin of Chernivtsi University. Computer systems and components. 2016. T. 7. Vol. 2, pp. 53–62.; 20. Reibman A. L., Trivedi K. S. Numerical transient analysis of Markov models // Computers and Operations Research. 1988. Vol. 15. No. 1. P. 19–36.; 21. Preidunov Y. V. Development of mathematical models and methods for predicting the implementation of complex software systems on parallel computing systems. PhD thesis. M.: Inst. Of Problems of Management RAS, 1992.; 1. Tsvetkov V. Ya., Alpatov A. N. Problems of distributed systems, Prospects of science and education – 2014, No. 6, P. 31–36.; 2. Khaitan et al., "Design Techniques and Applications of Cyber Physical Systems: A Survey", IEEE Systems Journal, 2014.; 3. Rad, Ciprian-Radu; Hancu, Olimpiu; Takacs, Ioana-Alexandra; Olteanu, Gheorghe (2015). "Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture". Conference Agriculture for Life, Life for Agriculture. 6: 73–79.; 4. Bocharov P. L., Ignatushchenko V. V. Mathematical models and methods for evaluating the effectiveness of parallel computing systems on complexes of interrelated jobs, Tez. report international conf, "High-Performance Computing Systems in Management and Scientific Research," Alma-Ata, 1991, p. 6.; 5. Ignatushchenko V. V., Klushin Y. S. Prediction of the implementation of complex software systems on parallel computers: direct stochastic modeling, Automation and Remote Control. 1994. No. 12, p. 142–157.; 6. Khritankov A. S. Mathematical model of performance characteristics of distributed computing systems. Computer science, management, economics. JOBS OF MIPT, 2010, Vol. 2, No. 1 (5), p. 110–115.; 7. Ivutin A. N., Larkin E. V. Prediction of the execution time of the algorithm. Magazine. News of TSU. Technical science. Issue number 3/2013 P. 301–315.; 8. Ivanov N. N. Mathematical prediction of reliable execution of sets of tasks with symmetric runtime distributions. Journal of Open Education, Issue No. 2–2, 2011, p. 52–55.; 11. Salibekyan S. M., Panfilov P. B. Questions of automaton-network modeling of computer systems with data flow control, Information technologies and computer systems. 2015. No. 1. P. 3–9.; 12. Kulikov, I., Chernykh, I., Glinsky, B., Weins, D., Shmelev, A. Astrophysics simulation on RSC massively parallel architecture, Proc. 2015 IEEE/ACM 15th Int. Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015. IEEE Press, 2015.1131–1134.; 17. Ignatushchenko V. V., Klushin Y. S. Prediction of the implementation of complex software systems on parallel computers: direct stochastic modeling, Automation and Remote Control. 1994. N12, p. 142–157.; 18. Klushin, Y. S. Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling. Bulletin of NU "Lviv; 20. Reibman A. L., Trivedi K. S. Numerical transient analysis of Markov models, Computers and Operations Research. 1988. Vol. 15. No. 1. P. 19–36.; 21. Preidunov Y. V. Development of mathematical models and methods for predicting the implementation of complex software systems on parallel computing systems. PhD thesis. M., Inst. Of Problems of Management RAS, 1992.; Klushyn Y. High-performance software for designing complex Cyber-Physical Systems on the parallel computers / Yuriy Klushyn // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2018. — Vol 3. — No 1. — P. 26–32.; https://ena.lpnu.ua/handle/ntb/45679; Klushyn Y. High-performance software for designing complex Cyber-Physical Systems on the parallel computers / Yuriy Klushyn // Advances in Cyber-Physical Systems. — Lviv Politechnic Publishing House, 2018. — Vol 3. — No 1. — P. 26–32.
Availability: https://ena.lpnu.ua/handle/ntb/45679
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Source: RAPIDO '15 Proceedings of the 2015 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools ; https://cea.hal.science/cea-01818887 ; RAPIDO '15 Proceedings of the 2015 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, Jan 2015, Amsterdam, Netherlands. ⟨10.1145/2693433.2693440⟩
Subject Terms: ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.7: Simulation Support Systems/I.6.7.0: Environments, ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.1: Single Data Stream Architectures, [INFO]Computer Science [cs]
Subject Geographic: Amsterdam, Netherlands
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Subject Terms: Procesamiento de imagenes, Simulación, Energía, Sensores, Sistemas inteligentes, Inteligencia artificial, TIC, Cobertura 5G, Plataformas Web, Procesamiento digital de señales, Prototipos, Automatización, Control, Tecnologías remotas, Bioingeniería -- Congresos, conferencias, etc. -- Memorias, Energía -- Congresos, Sistemas de control inteligente -- Congresos, Procesamiento de señales -- Congresos, Automatización -- Congresos, etc. -- Memoria, Desarrollo de prototipos -- Congresos, Ingeniería biomédica -- Congresos, Tecnologías de la información y de la comunicación -- Congresos, Procesamiento digital de imágenes -- Congresos, Redes neuronales (Computadores) -- Congresos, Matemáticas -- Enseñanza -- Congresos, Inteligencia artificial -- Congresos
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Source: Software Architecture for Big Data and the Cloud ; https://inria.hal.science/hal-01507344 ; Ivan Mistrik; Rami Bahsoon; Nour Ali; Maritta Heisel; Bruce Maxim. Software Architecture for Big Data and the Cloud, Morgan Kaufmann, 2017, 9780128054673
Subject Terms: ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
Relation: info:eu-repo/grantAgreement/EC/FP7/318521/EU/Hardware- and Network-Enhanced Software Systems for Cloud Computing/HARNESS
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Contributors: et al.
Source: https://inria.hal.science/tel-01956255 ; Hardware Architecture [cs.AR]. Université de Rennes 1 [UR1], 2018. English. ⟨NNT : ⟩.
Subject Terms: Network on chip NoC, Réseau sur puce NoC, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design, ACM: D.: Software/D.4: OPERATING SYSTEMS, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
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Authors: et al.
Subject Terms: Computer Science - Hardware Architecture, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance, archi, info
Relation: http://arxiv.org/abs/2301.00414
Availability: http://arxiv.org/abs/2301.00414
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Authors:
Source: ACM SIGARCH Computer Architecture News ; volume 15, issue 5, page 21-30 ; ISSN 0163-5964
Availability: https://doi.org/10.1145/36177.36180
https://dl.acm.org/doi/10.1145/36177.36180
https://dl.acm.org/doi/pdf/10.1145/36177.36180 -
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Contributors: et al.
Source: Chen, K, Kilpatrick, P, Nikolopoulos, D S & Varghese, B 2020, Cross Architectural Power Modelling. in L Lefevre, C A Varela, G Pallis, A N Toosi, O Rana & R Buyya (eds), 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID): Proceedings., 9139694, IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing: Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 390-399, 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020, Melbourne, Australia, 11/05/2020. https://doi.org/10.1109/CCGrid49817.2020.00-54
Subject Terms: cross architecture, hardware counters, noise filtering, power modelling, /dk/atira/pure/subjectarea/asjc/1700/1705, name=Computer Networks and Communications, /dk/atira/pure/subjectarea/asjc/1700/1708, name=Hardware and Architecture, /dk/atira/pure/subjectarea/asjc/1800/1802, name=Information Systems and Management, /dk/atira/pure/subjectarea/asjc/2200/2213, name=Safety, Risk, Reliability and Quality
File Description: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/isbn/9781728160955; urn:ISBN:9781728160955
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Source: ACM SIGARCH Computer Architecture News ; volume 25, issue 2, page 50-61 ; ISSN 0163-5964
Availability: https://doi.org/10.1145/384286.264129
https://dl.acm.org/doi/10.1145/384286.264129
https://dl.acm.org/doi/pdf/10.1145/384286.264129 -
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Authors: Graham, Peter C. J.
Source: ACM SIGARCH Computer Architecture News ; volume 12, issue 5, page 12-18 ; ISSN 0163-5964
Availability: https://doi.org/10.1145/859576.859578
https://dl.acm.org/doi/10.1145/859576.859578
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Source: 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016)
https://inria.hal.science/hal-01356998
9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016), Dec 2016, Shanghai, China
http://computing.derby.ac.uk/ucc2016/Subject Terms: FPGA, Accelerators, Virtualization, Architectural model, Multi-tenancy, [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Relation: info:eu-repo/grantAgreement/EC/FP7/318521/EU/Hardware- and Network-Enhanced Software Systems for Cloud Computing/HARNESS
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Contributors: et al.
Subject Terms: Voice processing systems, Automatic voice recognition, Systems engineering, Telematics, Investigations, New technologies, Internet of things, Speech recognition, Ubiquitous computing, Sistemas de procesamiento de voz, Reconocimiento automático de la voz, Ingeniería de sistemas, Telemática, Investigaciones, Nuevas tecnologías, Internet de las cosas, Middleware, Reconocimiento del habla, Computación ubicua
Subject Geographic: Bucaramanga (Colombia), UNAB Campus Bucaramanga
File Description: application/pdf; application/octet-stream
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Availability: https://hdl.handle.net/20.500.12749/3547
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Source: Lecture Notes in Computer Science ; Practical Aspects of Declarative Languages ; page 122-136 ; ISSN 0302-9743 ; ISBN 9783540655275 9783540492016
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Source: DTIC AND NTIS
Subject Terms: Computer Programming and Software, Computer Systems, SYSTEMS ENGINEERING, REAL TIME, COMPUTERIZED SIMULATION, DISTRIBUTED DATA PROCESSING, PARALLEL PROCESSING, AIR FORCE EQUIPMENT, FAULT TOLERANT COMPUTING, NETWORK ARCHITECTURE, TPN(TIME PETRI NET MODEL), SAM(SOFTWARE ARCHITECTURAL MODEL), PETRI NETS
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Source: https://inria.hal.science/inria-00261976 ; [Research Report] PI 1889, 2008, pp.31.
Subject Terms: 4G networks, radio resource management, network selection, bandwidth allocation, mobility, quality of service, architectural design, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
Relation: Report N°: PI 1889
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Subject Terms: 000 - Ciencias de la computación, información y obras generales::003 - Sistemas, 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería, Radiation, Radiación, Métodos orientados a objetos (computadores), Object-oriented methods (computer), Diagnosis computer assisted, Diagnóstico por computación, Fault Tolerance, Approximate Computing, Reliability, Soft Errors, Tolerancia a fallos, Computación aproximada, Confiabilidad
File Description: xviii, 135 páginas; application/pdf
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Source: https://inria.hal.science/inria-00105010 ; [Research Report] PI 1818, 2006, pp.22.
Subject Terms: Wcet, hard real-time system, compilation, software, hardware, memory, cache, ACM: C.: Computer Systems Organization/C.3: SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS, ACM: D.: Software/D.4: OPERATING SYSTEMS, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
Relation: Report N°: PI 1818
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Source: Journal of Signal Processing Systems ; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944692030&doi=10.1007%2fs11265-015-1051-z&partnerID=40&md5=1ed364f3cb8827fbe387a89680e641c2
Subject Terms: Benchmarking, Characterization, Computer hardware, Computer software portability, Digital signal processing, Field programmable gate arrays (FPGA), Fixed platforms, Hardware, Microprocessor chips, Multicore programming, Parallel processing systems, Program processors, Reconfigurable architectures, Reconfigurable hardware, Architectural innovation, Computing environments, Dwarfs, Evaluation, Execution informations, Heterogeneous computing, OpenDwarfs, Performance, Parallel architectures, Springer New York LLC
Relation: http://hdl.handle.net/11615/75529
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Subject Terms: 合成演算法, 晶片網路, 計算機結構, synthesis, architectural, NoC, Network-on-Chip
File Description: 5270259 bytes; application/pdf
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