Search Results - acm: c.: computer systems organization/c.4: performance of systems/c.4.3: modeling techniques~

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

Analysis of a Stochastic Model of Replication in Large Distributed Storage Systems: A Mean-Field Approach

Authors: Sun, Wen Simon, Véronique Monnet, Sébastien et al.

Contributors: Sun, Wen Simon, Véronique Monnet, Sébastien et al.

Source: ACM Sigmetrics 2017- International Conference on Measurement and Modeling of Computer Systems ; https://inria.hal.science/hal-01494235 ; ACM Sigmetrics 2017- International Conference on Measurement and Modeling of Computer Systems, Jun 2017, Urbana-Champaign, Illinois, United States. pp.51--51, ⟨10.1145/3078505.3078531⟩ ; http://www.sigmetrics.org/sigmetrics2017/

Subject Terms: Performance, Stochastic Models, Placement Algortihms, Mean-Field Limits, Large Distributed Systems, DHT, ACM: C.: Computer Systems Organization, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Subject Geographic: Urbana-Champaign, Illinois, United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1701.00335; ARXIV: 1701.00335

Availability: https://inria.hal.science/hal-01494235
https://doi.org/10.1145/3078505.3078531

Hierarchical Modeling of IEEE 802.11 Multi-hop Wireless Networks

Authors: Abreu, Thiago Baynat, Bruno Begin, Thomas et al.

Contributors: Abreu, Thiago Baynat, Bruno Begin, Thomas et al.

Source: MSWiM'13 - 16th ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems ; https://inria.hal.science/hal-00922963 ; MSWiM'13 - 16th ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Nov 2013, Barcelone, Spain. pp.143-150, ⟨10.1145/2507924.2507949⟩

Subject Terms: IEEE 802.11 modeling, performance evaluation, Markov Chains, Multi-hop wireless chains, ACM: C.: Computer Systems Organization, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Subject Geographic: Spain

Time: Barcelone, Spain

Availability: https://inria.hal.science/hal-00922963
https://inria.hal.science/hal-00922963v1/document
https://inria.hal.science/hal-00922963v1/file/mswim25-abreu.pdf
https://doi.org/10.1145/2507924.2507949

MARTE: A Profile for RT/E Systems Modeling, Analysis (and Simulation?)

Authors: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) et al.

Contributors: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) et al.

Source: First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems SIMUTools'08 ; https://inria.hal.science/inria-00371397 ; First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems SIMUTools'08, ICST, Mar 2008, Marseille, France. pp.1-8

Subject Terms: UML, MARTE, Simulation, ACM: C.: Computer Systems Organization/C.3: SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS/C.3.2: Real-time and embedded systems, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing

Subject Geographic: Marseille, France

Availability: https://inria.hal.science/inria-00371397
https://inria.hal.science/inria-00371397v1/document
https://inria.hal.science/inria-00371397v1/file/simutools08.pdf

7 Probabilistic Modeling for Job Symbiosis Scheduling on SMT Processors

Authors: Stijn Eyerman Lieven Eeckhout The Pennsylvania State University CiteSeerX Archives

Contributors: Stijn Eyerman Lieven Eeckhout The Pennsylvania State University CiteSeerX Archives

Source: http://users.elis.ugent.be/~leeckhou/papers/taco12_2.pdf.

Subject Terms: Categories and Subject Descriptors, C.0 [Computer Systems Organization, General—Modeling of computer architecture, C.1.4 [Processor Architectures, Parallel Architectures, C.4 [Computer Systems Organization, Performance of Systems—Modeling techniques General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Simultaneous multithreading (SMT, symbiotic job scheduling, performance modeling ACM Reference Format

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.3569; http://users.elis.ugent.be/~leeckhou/papers/taco12_2.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.3569
http://users.elis.ugent.be/~leeckhou/papers/taco12_2.pdf

Modellus: Automated Modeling of Complex Internet Data Center Applications

Authors: Peter Desnoyers Timothy Wood Prashant Shenoy et al.

Contributors: Peter Desnoyers Timothy Wood Prashant Shenoy et al.

Source: http://lass.cs.umass.edu/papers/pdf/Modellus-journal.pdf.

Subject Terms: Categories and Subject Descriptors, C.4 [Computer Systems Organization, Performance of Systems— Modeling techniques, C.2.4 [Computer-Communication Networks, Distributed Systems General Terms, Design, Performance Additional Key Words and Phrases, Workload and performance modeling, internet applications ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.232

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.232
http://lass.cs.umass.edu/papers/pdf/Modellus-journal.pdf

Mathematical Formalisms for Performance Evaluation of Networks-on-Chip

Authors: Abbas Eslami Kiasari Axel Jantsch Zhonghai Lu et al.

Contributors: Abbas Eslami Kiasari Axel Jantsch Zhonghai Lu et al.

Source: http://web.it.kth.se/~axel/papers/2013/AbbasKiasari-ACM-ComputingSurvey.pdf.

Subject Terms: Categories and Subject Descriptors, C.4 [Computer Systems Organization, Performance of Systems— Modeling techniques General Terms, Design, Performance Additional Key Words and Phrases, System-on-chip (SoC, network-on-chip (NoC, performance evaluation, analytical modeling ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.1006

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.1006
http://web.it.kth.se/~axel/papers/2013/AbbasKiasari-ACM-ComputingSurvey.pdf

Partial Order Techniques for Distributed Discrete Event Systems: why you can't avoid using them

Authors: Fabre, Eric Benveniste, Albert Distributed and Iterative Algorithms for the Management of Telecommunications Systems (DISTRIBCOM) et al.

Contributors: Fabre, Eric Benveniste, Albert Distributed and Iterative Algorithms for the Management of Telecommunications Systems (DISTRIBCOM) et al.

Source: https://inria.hal.science/inria-00068387 ; [Research Report] PI 1800, 2006, pp.32.

Subject Terms: Discrete Event Systems, distributed systems, diagnosis, partial orders, unfoldings, fault management \\ Systèmes à événements discrets, systèmes répartis, diagnostic, ordres partiels, dépliages, gestion d'alarmes, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Relation: Report N°: PI 1800

Availability: https://inria.hal.science/inria-00068387
https://inria.hal.science/inria-00068387v2/document
https://inria.hal.science/inria-00068387v2/file/PI-1800.pdf

VSim: Simulating Multi-Server Setups at Near Native Hardware Speed

Authors: Frederick Ryckbosch Stijn Polfliet Lieven Eeckhout et al.

Contributors: Frederick Ryckbosch Stijn Polfliet Lieven Eeckhout et al.

Source: http://users.elis.ugent.be/~leeckhou/papers/taco12_vsim.pdf.

Subject Terms: Categories and Subject Descriptors, C.0 [Computer Systems Organization, General—Modeling of computer architecture, C.4[Computer Systems Organization, Performance of Systems—Modeling techniques General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Architectural simulation, virtualization, time dilation ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.2538; http://users.elis.ugent.be/~leeckhou/papers/taco12_vsim.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.2538
http://users.elis.ugent.be/~leeckhou/papers/taco12_vsim.pdf

Time-triggered implementations of dynamic controllers

Authors: Truong Nghiem George J. Pappas Rajeev Alur et al.

Contributors: Truong Nghiem George J. Pappas Rajeev Alur et al.

Source: http://www.georgejpappas.org//papers/a58-nghiem.pdf.

Subject Terms: Categories and Subject Descriptors, C.3 [Computer Systems Organization, Special-Purpose and Application-Based Systems—Real-time and embedded systems, C.4[Computer Systems Organization, Performance of Systems—Modeling techniques, performance attributes, J.7 [Computer Applications, Computers in Other Systems—Real time, command and control General Terms, Design, Performance Additional Key Words and Phrases, Control, dynamic controller, time-triggered, implementation, performance, PID, PI, scheduling ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.170

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.170
http://www.georgejpappas.org//papers/a58-nghiem.pdf

Self-Tuning Cost Modeling of User-Defined Functions in an Object-Relational DBMS.

Authors: Zhen He Byung Suk Lee Snapp, Robert

Source: ACM Transactions on Database Systems; Sep2005, Vol. 30 Issue 3, p812-853, 42p

Subject Terms: DATABASE management, ELECTRONIC data processing, SQL, MANAGEMENT information systems, COMPUTER storage devices, PERFORMANCE

Power management in energy harvesting sensor networks

Authors: Aman Kansal Jason Hsu Sadaf Zahedi et al.

Contributors: Aman Kansal Jason Hsu Sadaf Zahedi et al.

Source: https://research.microsoft.com/pubs/73674/kansal_tecs07.pdf.

Subject Terms: Categories and Subject Descriptors, C.4 [Computer Systems Organization, Performance of systems—Modeling Techniques, C.2.4 [Computer Systems Organization, Computer Commu- nication Networks—Distributed Systems General Terms, Algorithms, Design, Experimentation, Measurement, Performance, Theory Additional Key Words and Phrases, Adaptive duty cycling, Heliomote, lifetime, power management, energy neutrality ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.554.8780

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.554.8780

Per-thread cycle accounting in multicore processors

Authors: Kristof Du Bois Stijn Eyerman Lieven Eeckhout et al.

Contributors: Kristof Du Bois Stijn Eyerman Lieven Eeckhout et al.

Source: http://users.elis.ugent.be/~leeckhou/papers/taco13_1.pdf.

Subject Terms: Categories and Subject Descriptors, C.0 [Computer Systems Organization, General—Modeling of com- puter architecture, C.4 [Computer SystemsOrganization, Performance of Systems—Modeling techniques General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Multicore processors, hardware/software interface, scheduling, resource sharing, interference, performance analysis ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.470.2002; http://users.elis.ugent.be/~leeckhou/papers/taco13_1.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.470.2002
http://users.elis.ugent.be/~leeckhou/papers/taco13_1.pdf

Theory of continuous polling systems applied to the Design of Message Ferry Routes in sensor networks

Authors: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) et al.

Contributors: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) et al.

Source: https://inria.hal.science/inria-00573799 ; 2011.

Subject Terms: Continuous Polling systems, Virtual Workload, Pseudo Conservation Laws, Ferry, Wireless LAN, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.8: Queueing theory, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Availability: https://inria.hal.science/inria-00573799
https://inria.hal.science/inria-00573799v2/document
https://inria.hal.science/inria-00573799v2/file/HALFinANORRev2.pdf

A Checkpoint of Research on Parallel I/O for High-Performance Computing.

Authors: BOITO, FRANCIELI ZANON INACI, EDUARDO C. BEZ, JEAN LUCA et al.

Source: ACM Computing Surveys; Mar2019, Vol. 51 Issue 2, p1-35, 35p

Subject Terms: COMPUTER systems, COMPUTER performance, EXTRACTION techniques, SCIENTIFIC community, CONFERENCES & conventions

Selecting Representative Benchmark Inputs for Exploring Microprocessor Design Spaces

Authors: Maximilien B. Breughe Lieven Eeckhout The Pennsylvania State University CiteSeerX Archives

Contributors: Maximilien B. Breughe Lieven Eeckhout The Pennsylvania State University CiteSeerX Archives

Source: http://users.elis.ugent.be/~leeckhou/papers/taco14-breughe.pdf.

Subject Terms: Categories and Subject Descriptors, C.0 [Computer Systems Organization, General—Modeling of com- puter architecture, C.4 [Computer SystemsOrganization, Performance of Systems—Modeling techniques General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Processor design space exploration, workload selection, input selection ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.6278

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.6278
http://users.elis.ugent.be/~leeckhou/papers/taco14-breughe.pdf

A Mean Field Approach for Optimization in Particles Systems and Applications

Authors: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) et al.

Contributors: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) et al.

Source: https://inria.hal.science/inria-00368011 ; [Research Report] RR-6877, INRIA. 2009, pp.23.

Subject Terms: Markov Decision Processes, Mean Field, Optimization, Particles System, Grid Broker, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.4: Markov processes, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/0903.2352; ARXIV: 0903.2352

Availability: https://inria.hal.science/inria-00368011
https://inria.hal.science/inria-00368011v3/document
https://inria.hal.science/inria-00368011v3/file/RR-6877.pdf

Intelligent solution for congestion control in wireless ad hoc networks

Authors: Khoukhi, Lyes Cherkaoui, Soumaya Department of Electrical and Computer Engineering et al.

Contributors: Khoukhi, Lyes Cherkaoui, Soumaya Department of Electrical and Computer Engineering et al.

Source: WONS 2006 : Third Annual Conference on Wireless On-demand Network Systems and Services ; https://hal.inria.fr/inria-00001026 ; WONS 2006 : Third Annual Conference on Wireless On-demand Network Systems and Services, INRIA, INSA Lyon, Alcatel, IFIP, Jan 2006, Les Ménuires (France), pp.10-19

Subject Terms: fuzzy Petri nets, QoS, multimedia application, congestion control, fuzzy logic, threshold management, Session 1: Multihop Performance Issues, ACM: C.: Computer Systems Organization, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], manag, info

Relation: https://hal.inria.fr/inria-00001026/file/02-Khoukhi.pdf; https://hal.inria.fr/inria-00001026

Availability: https://hal.inria.fr/inria-00001026/file/02-Khoukhi.pdf
https://hal.inria.fr/inria-00001026

RCML: An Environment for Estimation Modeling of Reconfigurable Computing Systems.

Authors: Reardon, Casey Holland, Brian George, Alan D. et al.

Source: ACM Transactions on Embedded Computing Systems; Aug2012, Vol. 11, p1-22, 22p

Subject Terms: COMPUTER systems, ADAPTIVE computing systems, EMBEDDED computer systems, STRATEGIC planning, FORMAL languages, SYSTEMS design, COMPUTER performance

BADCO: Behavioral Application-Dependent Superscalar Core Model

Authors: Velasquez, Ricardo A. Michaud, Pierre Seznec, André et al.

Contributors: Velasquez, Ricardo A. Michaud, Pierre Seznec, André et al.

Source: SAMOS XII: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation ; https://inria.hal.science/hal-00707346 ; SAMOS XII: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, Jul 2012, Samos, Greece

Subject Terms: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic

Subject Geographic: Samos, Greece

Availability: https://inria.hal.science/hal-00707346
https://inria.hal.science/hal-00707346/document
https://inria.hal.science/hal-00707346/file/badco_samos.pdf