Relevant bibliographies by topics / Scalable Performance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Scalable Performance'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Scalable Performance"

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J Mounika K, Balasirisha. "High Performance and Scalable Microservices Architecture using Kubernetes." International Journal of Science and Research (IJSR) 12, no. 1 (2023): 85–90. http://dx.doi.org/10.21275/sr221229142739.

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Tao, Can, He Yanmin, and Zhu Weile. "High performance scalable image coding." Journal of Systems Engineering and Electronics 18, no. 4 (2007): 795–800. http://dx.doi.org/10.1016/s1004-4132(08)60022-5.

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Pauer, Eric K. "High Performance Scalable Computing Performance Modelling Using Ptolemy." International Journal of Modelling and Simulation 19, no. 4 (1999): 341–51. http://dx.doi.org/10.1080/02286203.1999.11760433.

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Giannakakis, Panagiotis, Panagiotis Laskaridis, Theoklis Nikolaidis, and Anestis I. Kalfas. "Toward a Scalable Propeller Performance Map." Journal of Propulsion and Power 31, no. 4 (2015): 1073–82. http://dx.doi.org/10.2514/1.b35498.

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MOTLAGH, BAHMAN S., and RONALD F. DeMARA. "PERFORMANCE OF SCALABLE SHARED-MEMORY ARCHITECTURES." Journal of Circuits, Systems and Computers 10, no. 01n02 (2000): 1–22. http://dx.doi.org/10.1142/s0218126600000068.

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Analytical models were developed and simulations of memory latency were performed for Uniform Memory Access (UMA), Non-Uniform Memory Access (NUMA), Local-Remote-Global (LRG), and RCR architectures for hit rates from 0.1 to 0.9 in steps of 0.1, memory access times of 10 to 100 ns, proportions of read/write access from 0.01 to 0.1, and block sizes of 8 to 64 words. The RCR architecture provides favorable performance over UMA and NUMA architectures for all ranges of application and system parameters. RCR outperforms LRG architectures when the hit rates of the processor cache exceed 80%and replic
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Arafa, Yehia, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, and Stephan Eidenbenz. "PPT-GPU: Scalable GPU Performance Modeling." IEEE Computer Architecture Letters 18, no. 1 (2019): 55–58. http://dx.doi.org/10.1109/lca.2019.2904497.

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Zaki, Omer, Ewing Lusk, William Gropp, and Deborah Swider. "Toward Scalable Performance Visualization with Jumpshot." International Journal of High Performance Computing Applications 13, no. 3 (1999): 277–88. http://dx.doi.org/10.1177/109434209901300310.

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Wu, Xingfu, and Wei Li. "Performance models for scalable cluster computing." Journal of Systems Architecture 44, no. 3-4 (1998): 189–205. http://dx.doi.org/10.1016/s1383-7621(97)00036-2.

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Middae, Vijaya lakshmi. "AI-Driven Performance Tuning of Jenkins Pipelines in Scalable DevOps Environments." International journal of networks and security 05, no. 01 (2025): 215–20. https://doi.org/10.55640/ijns-05-01-13.

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In today’s rapidly evolving software development landscape, DevOps has emerged as a vital practice to ensure faster delivery and improved collabora- tion between development and operations teams. Jenkins, a widely adopted open-source automation server, is central to Continuous Integration and Con- tinuous Deployment (CI/CD) pipelines. However, as systems scale, tradi- tional methods of pipeline optimization often fall short in maintaining per- formance and resource efficiency. This paper explores the integration of Ar- tificial Intelligence (AI) to dynamically enhance the performance of Jenkin
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Kim, Yongtae, Jinhyuk Choi, and Haechul Choi. "Performance Analysis of Scalable HEVC Coding Tools." Journal of Broadcast Engineering 20, no. 4 (2015): 497–508. http://dx.doi.org/10.5909/jbe.2015.20.4.497.

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Dissertations / Theses on the topic "Scalable Performance"

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Gamblin, Todd Reed Daniel A. "Scalable performance measurement and analysis." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2811.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Mar. 10, 2010). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
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Leiserson, William Mitchell. "Defining scalable high performance programming with DEF." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128317.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020<br>Cataloged from PDF of thesis.<br>Includes bibliographical references (pages 149-156).<br>Performance engineering is performed in languages that are close to the machine, especially C and C++, but these languages have little native support for concurrency. We're deep into the multicore era of computer hardware, however, meaning that scalability is dependent upon concurrent data structures. Contrast this with modern systems languages, like Go, that provide support for concurr
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Santiago, Alexandre José Batista. "HEVC scalable analysis : performance and bitrate control." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21689.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>Esta dissertação apresenta um estudo da norma de codificação de vídeo de alta eficiência (HEVC) e a sua extensão para vídeo escalável, SHVC. A norma de vídeo SHVC proporciona um melhor desempenho quando codifica várias camadas em simultâneo do que quando se usa o codificador HEVC numa configuração simulcast. Ambos os codificadores de referência, tanto para a camada base como para a camada superior usam o mesmo modelo de controlo de débito, modelo R-λ, que foi otimizado para o HEVC. Nenhuma otimização de alocação de débito entre camadas fo
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Aguilar, Xavier. "Towards Scalable Performance Analysis of MPI Parallel Applications." Licentiate thesis, KTH, High Performance Computing and Visualization (HPCViz), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-165043.

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A considerably fraction of science discovery is nowadays relying on computer simulations. High Performance Computing  (HPC) provides scientists with the means to simulate processes ranging from climate modeling to protein folding. However, achieving good application performance and making an optimal use of HPC resources is a heroic task due to the complexity of parallel software. Therefore, performance tools  and runtime systems that help users to execute  applications in the most optimal way are of utmost importance in the landscape of HPC.  In this thesis, we explore different techniques to
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Buehrer, Gregory T. "Scalable mining on emerging architectures." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1198866625.

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Liu, Jiuxing. "Designing high performance and scalable MPI over InfiniBand." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095296555.

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Putnam, Patrick P. "Scalable, High-Performance Forward Time Population Genetic Simulation." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522419645847035.

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Hayden, Richard Alexander. "Scalable performance analysis of massively parallel stochastic systems." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9109.

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The accurate performance analysis of large-scale computer and communication systems is directly inhibited by an exponential growth in the state-space of the underlying Markovian performance model. This is particularly true when considering massively-parallel architectures such as cloud or grid computing infrastructures. Nevertheless, an ability to extract quantitative performance measures such as passage-time distributions from performance models of these systems is critical for providers of these services. Indeed, without such an ability, they remain unable to offer realistic end-to-end servi
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Weil, Sage A. "Ceph : reliable, scalable, and high-performance distributed storage /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2007. http://uclibs.org/PID/11984.

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Buehrer, Gregory T. "Scalable mining on emerging architectures." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1198866625.

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Books on the topic "Scalable Performance"

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Welzl, Michael. Scalable Performance Signalling and Congestion Avoidance. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0519-8.

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Welzl, Michael. Scalable performance signalling and congestion avoidance. Kluwer Academic Publishers, 2003.

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Welzl, Michael. Scalable Performance Signalling and Congestion Avoidance. Springer US, 2003.

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SAS Institute. SAS 9.2 Scalable Performance Data engine: Reference. SAS Institute, 2009.

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Institute, SAS, ed. Scalable performance data server: User's guide : version 1. SAS Institute Inc., 1996.

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Psychas, Konstantinos. Scalable Scheduling Policies with Performance Guarantees for Cloud Applications. [publisher not identified], 2020.

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1965-, Zhang Zhi-Li, and Du David Hung-Chang, eds. Scalable network monitoring in high speed networks. Springer, 2011.

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Stolorz, Paul. Scalable High Performance Computing for Knowledge Discovery and Data Mining. Springer US, 1998.

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Stolorz, Paul, and Ron Musick, eds. Scalable High Performance Computing for Knowledge Discovery and Data Mining. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5669-5.

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Paul, Stolorz, and Musick Ron, eds. Scalable high performance computing for knowledge discovery and data mining. Kluwer Academic Publishers, 1998.

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Book chapters on the topic "Scalable Performance"

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Fusari, Carlo, Chiara Bariviera, Douraya Kessaria, et al. "Computationally Integrated Embodied Carbon Performance Tools for Structural Design Stages." In Scalable Disruptors. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68275-9_9.

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Buzbee, Bill. "Examples of Scalable Performance." In Software for Parallel Computation. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-58049-9_22.

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Drago, Idilio, and Aiko Pras. "Scalable Service Performance Monitoring." In Mechanisms for Autonomous Management of Networks and Services. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13986-4_26.

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Takahashi, Keichi, Kohei Ichikawa, and Gerald M. Pao. "Toward Scalable Empirical Dynamic Modeling." In Sustained Simulation Performance 2022. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-41073-4_5.

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Focht, Erich, and Andreas Jeutter. "AggMon: Scalable Hierarchical Cluster Monitoring." In Sustained Simulation Performance 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32454-3_5.

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Sakly, Houneida, Ramzi Guetari, and Naoufel Kraiem. "AI Performance Optimization for Healthcare." In Scalable Artificial Intelligence for Healthcare. CRC Press, 2025. https://doi.org/10.1201/9781003480594-7.

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Bamba, Bhuvan, Ling Liu, Philip S. Yu, Gong Zhang, and Myungcheol Doo. "Scalable Processing of Spatial Alarms." In High Performance Computing - HiPC 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89894-8_23.

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Bardotti, G., S. Migliori, A. Perozziello, et al. "Scalable parallel computing at ENEA." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61142-8_661.

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Kennedy, Ken, and Charles Koelbel. "High Performance Fortran 2.0." In Compiler Optimizations for Scalable Parallel Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45403-9_1.

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Wang, Zheng. "USD: Scalable Bandwidth Allocation for the Internet." In High Performance Networking. Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35388-3_20.

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Conference papers on the topic "Scalable Performance"

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Chen, Youguang, Zheyu Wen, and George Biros. "A Scalable Algorithm for Active Learning." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/sc41406.2024.00057.

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Raut, S. Biplab. "A Highly Scalable Parallel Design for Data Compression." In 2024 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2024. https://doi.org/10.1109/hpec62836.2024.10938462.

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Stumpp, Daniel C., and Alan D. George. "Fpga Acceleration for Scalable High-Resolution Opir Target Detection." In 2024 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2024. https://doi.org/10.1109/hpec62836.2024.10938465.

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Dindoost, Mohammad, Oliver Alvarado Rodriguez, Sounak Bagchi, Palina Pauliuchenka, Zhihui Du, and David A. Bader. "VF2-PS: Parallel and Scalable Subgraph Monomorphism in Arachne." In 2024 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2024. https://doi.org/10.1109/hpec62836.2024.10938454.

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Kaya and Al-Ahmadi. "Search for optimum and scalable COSMOS." In Electrical Performance of Electronic Packaging. IEEE, 2004. http://dx.doi.org/10.1109/iwce.2004.1407358.

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Aish, Robert. "DesignScript: Scalable Tools for Design Computation." In eCAADe 2013: Computation and Performance. eCAADe, 2013. http://dx.doi.org/10.52842/conf.ecaade.2013.2.087.

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Aish, Robert. "DesignScript: Scalable Tools for Design Computation." In eCAADe 2013: Computation and Performance. eCAADe, 2013. http://dx.doi.org/10.52842/conf.ecaade.2013.2.087.

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Uppal, Ahsen J., Guy Swope, and H. Howie Huang. "Scalable stochastic block partition." In 2017 IEEE High-Performance Extreme Computing Conference (HPEC). IEEE, 2017. http://dx.doi.org/10.1109/hpec.2017.8091050.

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Buntinas, Darius, George Bosilca, Richard L. Graham, Geoffroy Vallée, and Gregory R. Watson. "A Scalable Tools Communications Infrastructure." In 2008 22nd High performance Computing Symposium (HPCS). IEEE, 2008. http://dx.doi.org/10.1109/hpcs.2008.24.

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Rasouli, Majid, Vidhi Zala, Robert M. Kirby, and Hari Sundar. "Scalable Lazy-update Multigrid Preconditioners." In 2019 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2019. http://dx.doi.org/10.1109/hpec.2019.8916504.

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Reports on the topic "Scalable Performance"

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Gamblin, Todd. Scalable Performance Measurement and Analysis. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/990416.

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Banerjee, Prithviraj. VLSI CAD on Scalable High Performance Computing Platforms. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada358137.

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Wang, Jianchao, and Yuanyuan Yang. Scalable Multicast Networks for High-Performance Computing and Communications. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada394378.

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Brandt, S. Scalable File Systems for High Performance Computing Final Report. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/923092.

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Jack Dongarra, Shirley Moore, Jeffrey Hollingsworth Bart Miller, and Tracy Rafferty. A Cross-Platform Infrastructure for Scalable Runtime Application Performance Analysis. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/841192.

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Demmel, James W. Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1092153.

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Dongarra, Jack. Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1096392.

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Behr, Marek, Daniel M. Pressel, Walter B. Sturek, and Sr. Comments on Computational Fluid Dynamics (CFD) Code Performance on Scalable Architectures. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada409739.

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Daniel Reed. PERC 2 High-End Computer System Performance: Scalable Science and Engineering. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/927308.

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Xu, TengFang T. Performance Evaluation for Modular, Scalable Overhead Cooling Systems In Data Centers. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/962470.

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