Search Results - acm: d.: software/d.4: operating system/d.4.8: performance/d.4.8.5: simulation

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1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Authors: Okunola, Abiodun

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2

Automated Analysis of Impact of Scheduling on Performance of Self-Stabilizing Protocols

Authors: Aflaki, Saba Bonakdarpour, Borzoo Tixeuil, Sébastien et al.

Contributors: Aflaki, Saba Bonakdarpour, Borzoo Tixeuil, Sébastien et al.

Source: The International Conference on Stabilization, Safety, and Security in Distributed Systems (SSS 2015) ; https://hal.science/hal-01213273 ; The International Conference on Stabilization, Safety, and Security in Distributed Systems (SSS 2015), Aug 2015, Edmonton, Canada. pp.156-170, ⟨10.1007/978-3-319-21741-3_11⟩

Subject Terms: ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.2: Design Tools and Techniques, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.5: Reliability/D.4.5.2: Fault-tolerance, [INFO]Computer Science [cs], [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]

Subject Geographic: Edmonton

Time: Edmonton, Canada

Relation: hal-01213273; https://hal.science/hal-01213273

Availability: https://hal.science/hal-01213273
https://doi.org/10.1007/978-3-319-21741-3_11

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3

VirtualSoC: A Research Tool for Modern MPSoCs.

Authors: BORTOLOTTI, DANIELE MARONGIU, ANDREA BENINI, LUCA

Source: ACM Transactions on Embedded Computing Systems; Oct2016, Vol. 16 Issue 1, p1-27, 27p

Subject Terms: COMPUTER system design & construction, HIGH performance computing, EMBEDDED computer systems, COMPUTER simulation, COMPUTER operating systems, CENTRAL processing units

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4

A NEW TRACE-DRIVEN SHARED-MEMORY MULTIPROCESSORS MACHINE SIMULATOR.

Authors: Chen, S.-N.

Source: International Journal of Computers & Applications; 2007, Vol. 29 Issue 3, p239-244, 6p

Subject Terms: MULTIPROCESSORS, COMPUTER simulation, COMPUTER storage devices, COMPUTER buses, DISTRIBUTED shared memory, COMPUTER operating systems, APPLICATION software

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5

Putting the Next 500 VM Placement Algorithms to the Acid Test ; Putting the Next 500 VM Placement Algorithms to the Acid Test: The Infrastructure Provider Viewpoint

Authors: Lebre, Adrien Pastor, Jonathan Simonet, Anthony et al.

Contributors: Lebre, Adrien Pastor, Jonathan Simonet, Anthony et al.

Source: ISSN: 1045-9219 ; IEEE Transactions on Parallel and Distributed Systems ; https://inria.hal.science/hal-01816248 ; IEEE Transactions on Parallel and Distributed Systems, 2018, pp.1-14. ⟨10.1109/TPDS.2018.2855158⟩.

Subject Terms: Index Terms—Cloud Computing, Infrastructure-as-a-Service, VM placement, energy, simulation, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming/D.1.3.0: Distributed programming, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.1: Distributed systems, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.8: Performance/D.4.8.1: Modeling and prediction, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.1: Requirements/Specifications/D.2.1.3: Tools, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS]

Availability: https://inria.hal.science/hal-01816248
https://inria.hal.science/hal-01816248v1/document
https://inria.hal.science/hal-01816248v1/file/vmplaces-TPDS18-preprint.pdf
https://doi.org/10.1109/TPDS.2018.2855158

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6

Papers from the Third ACM Symposium on Operating Systems Principles.

Authors: Denning, Peter J. Randell, Brian

Source: Communications of the ACM; Mar1972, Vol. 15 Issue 3, p133-134, 2p

Subject Terms: COMPUTER operating systems, RESEARCH, CONFERENCES & conventions, COMPUTER software, SYSTEMS software

Company/Entity: ASSOCIATION for Computing Machinery

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Reconf-Pack: A Simulator for Reconfigurable Battery-Powered Real-Time Systems

Authors: Gammoudi, Aymen Benzina, Adel Khalgui, Mohamed et al.

Contributors: Gammoudi, Aymen Benzina, Adel Khalgui, Mohamed et al.

Source: 30th European Simulation and Modelling Conference
https://inria.hal.science/hal-01401706
30th European Simulation and Modelling Conference, Oct 2016, Las Palmas, Spain

Subject Terms: Embedded system, Real-time and low-power scheduling, Reconfiguration, OS software optimization, Simulation, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.1: Process Management/D.4.1.4: Scheduling, ACM: D.: Software/D.4: OPERATING SYSTEMS, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]

Subject Geographic: Las Palmas, Spain

Availability: https://inria.hal.science/hal-01401706
https://inria.hal.science/hal-01401706v1/document
https://inria.hal.science/hal-01401706v1/file/ESM2016_camera_ready_final.pdf

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8

A QEMU and SystemC-Based Cycle-Accurate ISS for Performance Estimation on SoC Development.

Authors: Chiang, Ming-Chao Yeh, Tse-Chen Tseng, Guo-Fu

Source: IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems; 04/01/2011, Vol. 30 Issue 4, p593-606, 14p

Subject Terms: COMPUTER operating systems, SYSTEMS on a chip, ELECTRONIC systems, SIMULATION methods & models, PERFORMANCE evaluation, COMPUTER software, COMPUTER input-output equipment

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9

Contribution to developement optimization methods for memory managment in high-performance computing ; Contribution à l'amélioration des méthodes d'optimisation de la gestion de la mémoire dans le cadre du Calcul Haute Performance

Authors: Valat, Sébastien, Jean Laboratoire d'Informatique Parallélisme Réseaux Algorithmes Distribués (LI-PaRAD) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) et al.

Contributors: Valat, Sébastien, Jean Laboratoire d'Informatique Parallélisme Réseaux Algorithmes Distribués (LI-PaRAD) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) et al.

Source: https://hal.science/tel-01253537 ; Performance et fiabilité [cs.PF]. University de Versaille Saint-Quentin en Yvelines, 2014. Français. ⟨NNT : ⟩.

Subject Terms: allocator, NUMA, malloc, memory, optimization, operating system, système d'exploitation, optimisation, OS, linux, caches, multi-coeurs, supercalculateur, threads, parallel, HPC, hierarchie, allocateur, mémoire, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management/D.4.2.3: Main memory, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management/D.4.2.8: Virtual memory, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management/D.4.2.0: Allocation/deallocation strategies, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-DC]Computer Science [cs]/Distributed, and Cluster Computing [cs.DC]

Availability: https://hal.science/tel-01253537
https://hal.science/tel-01253537v1/document
https://hal.science/tel-01253537v1/file/2014-valat-pdh-theses.pdf

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10

Host-Compiled Multicore System Simulation for Early Real-Time Performance Evaluation.

Authors: RAZAGHI, PARISA GERSTLAUER, ANDREAS

Source: ACM Transactions on Embedded Computing Systems; Nov2014, Vol. 13 Issue 5, p1-26, 26p

Subject Terms: MULTICORE processors, SYSTEMS theory, REAL-time computing, PERFORMANCE evaluation, COMPUTATIONAL complexity

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11

Coordinating multiple administration loops using discrete control

Authors: Gueye, Soguy Mak-Karé de Palma, Noël Rutten, Eric et al.

Contributors: Gueye, Soguy Mak-Karé de Palma, Noël Rutten, Eric et al.

Source: ACM SIGOPS Operating Systems Review. 47:18-25

Subject Terms: [INFO.INFO-DC]Computer Science [cs]/Distributed, coordination, reconfiguration, reactive programming, Autonomic managers, administration loops, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.11: Software Architectures/D.2.11.1: Domain-specific architectures, discrete controller synthesis, 02 engineering and technology, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.2: Design Tools and Techniques, Parallel, components, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], 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-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], model-based approach, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.4: System Management

Access URL: https://dl.acm.org/doi/10.1145/2553070.2553074
https://hal.inria.fr/hal-00949555

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12

A Reconfigurable Simulation-Based Test System for Automatically Assessing Software Operating Skills.

Authors: Jun-Ming Su Huan-Yu Lin

Source: Educational Technology & Society; Apr2015, Vol. 18 Issue 2, p60-79, 20p

Subject Terms: COMPUTER assisted instruction, SIMULATION methods in education, COMPUTER literacy, TECHNOLOGICAL literacy, COMPUTER software

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13

Operating System Performance.

Authors: Lynch, W. C.

Source: Communications of the ACM; Jul1972, Vol. 15 Issue 7, p579-585, 7p

Subject Terms: COMPUTER operating systems, SYSTEM analysis, COMPUTER systems, SYSTEMS development, COMPUTER industry, SYSTEMS design, COMPUTER software, TECHNICAL specifications, MULTIMEDIA systems

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14

Efficient Compilation of CUDA Kernels for High-Performance Computing on FPGAs.

Authors: PAPAKONSTANTINOU, ALEXANDROS GURURAJ, KARTHIK STRATTON, JOHN A. et al.

Source: ACM Transactions on Embedded Computing Systems; Sep2013, Vol. 13 Issue 2, p1-26, 26p

Subject Terms: COMPUTER performance, COMPUTER architecture, MULTIPROCESSORS, APPLICATION software, KERNEL operating systems, GRAPHICS processing units, COMPUTER simulation, COMPUTER programming, PARALLEL programming

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15

A Power- and Performance-Aware Software Framework for Control System Applications.

Authors: Giardino, Michael Klawitter, Eric Ferri, Bonnie et al.

Source: IEEE Transactions on Computers; Oct2020, Vol. 69 Issue 10, p1544-1555, 12p

Subject Terms: SOFTWARE frameworks, COMPUTING platforms, SITUATIONAL awareness, MOBILE robots, MOBILE operating systems, CYBER physical systems, HIGH performance computing

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16

A realistic simulation model for peer-to-peer storage systems

Authors: Dandoush, Abdulhalim Alouf, Sara Nain, Philippe et al.

Contributors: Dandoush, Abdulhalim Alouf, Sara Nain, Philippe et al.

Source: Fourth International ICST Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS '09) ; https://inria.hal.science/hal-00641015 ; Fourth International ICST Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS '09), Oct 2009, Pisa, Italy. ⟨10.4108/ICST.VALUETOOLS2009.7653⟩ ; http://dl.acm.org/citation.cfm?id=1698822.1698830

Subject Terms: recovery process, download time, stochastic simulation, peer-to-peer storage system, Network Simulator NS-2, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design/C.2.1.3: Distributed networks, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems/C.2.4.1: Distributed applications, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.8: Performance/D.4.8.5: Simulation, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]