Search Results - acm: c.: computer system organization/c.0: general/c.0.0: hardware/software interfaces~

unified hardware/software runtime environment for FPGA based reconfigurable computers using BORPH

Authors: Hayden Kwok-hay So Robert Brodersen The Pennsylvania State University CiteSeerX Archives

Contributors: Hayden Kwok-hay So Robert Brodersen The Pennsylvania State University CiteSeerX Archives

Source: http://www.eee.hku.hk/~hso/Publications/so_tecs08.pdf.

Subject Terms: Categories and Subject Descriptors, D.4.7 [Operating Systems, Organization and Design— UNIX, C.0 [Computer Systems Organization, General—Hardware/software interfaces, D.4.0 [Operating Systems, General General Terms, Standardization, Design Additional Key Words and Phrases, FPGA, reconfigurable computers, hardware process, BORPH ACM Reference Format

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.2421; http://www.eee.hku.hk/~hso/Publications/so_tecs08.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.2421
http://www.eee.hku.hk/~hso/Publications/so_tecs08.pdf

Capo: A software-hardware interface for practical deterministic multiprocessor replay

Authors: Pablo Montesinos Matthew Hicks Samuel T. King et al.

Contributors: Pablo Montesinos Matthew Hicks Samuel T. King et al.

Source: http://www.cs.uiuc.edu/homes/kingst/Research_files/montesinos09.pdf.

Subject Terms: Categories and Subject Descriptors C [Computer Systems Organization, C.0 General. Subjects, Hardware/Software Interfaces, C.1 [Processor Architectures, C.1.0 General. General Terms Design, Measurement, Performance. Keywords Capo, CapoOne, Deterministic Replay, Replay Sphere

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.565.5476; http://www.cs.uiuc.edu/homes/kingst/Research_files/montesinos09.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.565.5476
http://www.cs.uiuc.edu/homes/kingst/Research_files/montesinos09.pdf

Capo: A Software-Hardware Interface for Practical Deterministic Multiprocessor Replay

Authors: Pablo Montesinos Matthew Hicks Samuel T. King et al.

Contributors: Pablo Montesinos Matthew Hicks Samuel T. King et al.

Source: http://chooyu.cs.uiuc.edu/iacoma-papers/asplos09.pdf.

Subject Terms: Categories and Subject Descriptors C [Computer Systems Organization, C.0 General. Subjects, Hardware/Software Interfaces, C.1 [Processor Architectures, C.1.0 General. General Terms Keywords Sphere. Design, Measurement, Performance

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.398

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.398
http://chooyu.cs.uiuc.edu/iacoma-papers/asplos09.pdf

Hardware/Software IP Integration Using the ROSES Design Environment.

Authors: Wagner, Flávio R. Cesário, Wander Jerraya, Ahmed A.

Source: ACM Transactions on Embedded Computing Systems; Jul2007, p1-23, 23p, 10 Diagrams, 5 Charts

Subject Terms: INTERNET protocols, SYSTEM integration, SYSTEMS design, EMBEDDED computer systems, SYSTEMS on a chip, COMPUTER input-output equipment, COMPUTER software

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

METHODS OF COMPUTATIONAL PROCESS SCHEDULING FOR SYNTHESIS OF HARDWARE MICROARCHITECTURE.

Authors: Antonov, Alexander Kustarev, Pavel Bykovskii, Sergey

Source: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM; 2019, Vol. 19 Issue 1, p445-452, 8p

Subject Terms: SOFTWARE architecture, STRUCTURAL design, HARDWARE, DESIGN techniques, APPLICATION program interfaces, COMPUTER scheduling

The Scalable Commutativity Rule: Designing Scalable Software for Multicore Processors.

Authors: CLEMENTS, AUSTIN T. KAASHOEK, M. FRANS ZELDOVICH, NICKOLAI et al.

Source: ACM Transactions on Computer Systems; Jan2015, Vol. 32 Issue 4, p10:1-10:47, 47p

Subject Terms: SOFTWARE architecture, COMPUTER software development, COMPUTER interfaces, LINUX operating systems, COMPUTER systems

HARS: A Hardware-Assisted Runtime Software for embedded many-core architectures

Authors: Lhuillier, Y. Ojail, M. Guerre, A. et al.

Contributors: Lhuillier, Y. Ojail, M. Guerre, A. et al.

Source: ISSN: 1539-9087.

Subject Terms: B.5.0 [Register-Transfer-Level Implementation]: General, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.4: Real-time systems and embedded systems, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.1: Process Management, ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.4: Parallel Architectures, ACM: B.: Hardware/B.5: REGISTER-TRANSFER-LEVEL IMPLEMENTATION, [INFO]Computer Science [cs]

Availability: https://cea.hal.science/cea-01818892
https://doi.org/10.1145/2517311

Oce@Nyd : A new Tailorable Groupware for Digital Media collection for Underwater Virtual Environments

Authors: Cheaib, Nader Otmane, Samir Mallem, Malik et al.

Contributors: Cheaib, Nader Otmane, Samir Mallem, Malik et al.

Source: Proc. of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (DIMEA 2008 ) ; 3rd international conference on Digital Interactive Media in Entertainment and Arts (DIMEA 2008 ) ; https://hal.science/hal-00639742 ; 3rd international conference on Digital Interactive Media in Entertainment and Arts (DIMEA 2008 ), Sep 2008, Athens, Greece. pp.256--263, ⟨10.1145/1413634.1413683⟩

Subject Terms: software agents, tailorability, groupware architecture, web services, ACM H.5.1 Multimedia Information Systems, H.5.3 Group and Organization Interfaces-Computer-supported cooperative work, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]

Subject Geographic: Athens, Greece

Availability: https://hal.science/hal-00639742
https://hal.science/hal-00639742v1/document
https://hal.science/hal-00639742v1/file/Cheaib_DIMEA08.pdf
https://doi.org/10.1145/1413634.1413683

A Unified Hardware/Software Runtime Environment for FPGA-Based Reconfigurable Computers using BORPH.

Authors: So, Hayden Kwok-Hay Brodersen, Robert

Source: ACM Transactions on Embedded Computing Systems; Feb2008, Vol. 7 Issue 2, p1-28, 28p, 11 Diagrams, 1 Chart, 4 Graphs

Subject Terms: COMPUTER input-output equipment, COMPUTER software, FIELD programmable gate arrays, ADAPTIVE computing systems, COMPUTER operating systems

A Survey of General-Purpose Computation on Graphics Hardware.

Authors: Owens, John D. Luebke, David Govindaraju, Naga et al.

Source: Computer Graphics Forum; Mar2007, Vol. 26 Issue 1, p80-113, 34p, 5 Color Photographs, 7 Diagrams, 3 Graphs

Subject Terms: COMPUTER graphics, APPLICATION software, HARDWARE, COMPUTER systems, COMPUTER software development, INTEGRATED circuits

TinyLink: A Holistic System for Rapid Development of IoT Applications.

Authors: WEI DONG BORUI LI GAOYANG GUAN et al.

Source: ACM Transactions on Sensor Networks; Oct2020, Vol. 17 Issue 1, p1-29, 29p

Subject Terms: SYSTEMS development, INTERNET of things, APPLICATION software

APRON: A Cellular Processor Array Simulation and Hardware Design Tool.

Authors: Barr, David R. Dudek, Piotr

Source: EURASIP Journal on Advances in Signal Processing; 2009, Special section p1-9, 9p, 6 Diagrams, 1 Chart, 1 Graph

Subject Terms: ARRAY processors, COMPUTER software, COMPUTER input-output equipment, COMPUTER architecture, SEARCH algorithms, ARTIFICIAL neural networks, COMPILERS (Computer programs), MICROPROCESSORS, GRAPHICAL user interfaces

Domain-specific language approach to modelling UI architecture of mobile telephony systems.

Authors: Lee, J.-S. Chae, H. S.

Source: IEE Proceedings -- Software; Dec2006, Vol. 153 Issue 6, p231-240, 10p, 12 Diagrams, 1 Chart

Subject Terms: CELL phone systems, EMBEDDED computer system design & construction, HARDWARE, USER interfaces, SYSTEMS design, PROGRAMMING languages, APPLICATION software

METHOD FOR ASSESSING OF RELIABILITY CHARACTERISTICS IN DESIGNING OF FAILURERESISTANT REAL-TIME OPERATING SYSTEMS.

Alternate Title: Методика оцінки характеристик надійності в проектуванні автоматичних систем реального часу. (Ukrainian)

Authors: Shvahirev, P. Lopakov, O. Kosmachevskiy, V. et al.

Source: Proceedings of Odessa Polytechnic University / Odes'kyi Politechnichnyi Universytet Pratsi; 2020, Vol. 61 Issue 2, p108-118, 11p

Subject Terms: KERNEL functions, COMPUTER systems, USER interfaces, COMPUTER software, KERNEL operating systems, FAULT-tolerant computing

TinyM²Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks.

Authors: Rashid, Hasib-Al Kallakuri, Utteja Mohsenin, Tinoosh

Source: ACM Transactions on Embedded Computing Systems; May2024, Vol. 23 Issue 3, p1-23, 23p

Subject Terms: ARTIFICIAL neural networks, SOFTWARE architecture, COMPUTER vision, ARTIFICIAL intelligence, MULTIMODAL user interfaces, COMPUTER performance

Company/Entity: REPUBLICAN Party (U.S. : 1854- )

Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices' Performance.

Authors: J. P. Amorim, Vicente C. Silva, Mateus A. R. Oliveira, Ricardo

Source: Sensors (14248220); Apr2019, Vol. 19 Issue 8, p1904-1904, 1p

Subject Terms: WEARABLE technology, COMPUTER input-output equipment, COMPUTER software, COMPUTER operating systems, DATA mining

A Decade of Software Model Checking with SLAM.

Authors: BALL, THOMAS LEVIN, VLADIMIR RAJAMANI, SRIRAM K.

Source: Communications of the ACM; Jul2011, Vol. 54 Issue 7, p68-76, 9p, 1 Black and White Photograph, 3 Diagrams

Subject Terms: APPLICATION program interfaces, MICROSOFT operating systems, COMPUTER programming, COMPILERS (Computer programs), COMPUTER software, COMPUTER software quality control

MC64-Cluster: Many-Core CPU Cluster Architecture and Performance Analysis in B-Tree Searches.

Authors: ESTEBAN, FRANCISCO JOSÉ DÍAZ, DAVID HERNÁNDEZ, PILAR et al.

Source: Computer Journal; Jun2018, Vol. 61 Issue 6, p912-925, 14p

Subject Terms: CENTRAL processing units, COMPUTER architecture, COMPUTER software, BIOINFORMATICS, PARALLEL programming, APPLICATION program interfaces

Computer-Integrated Fabrication System Structure

Authors: Troxel, Donald E. Stamatopolous, Miltiadis A. Gershwin, Stanley B. et al.

Subject Terms: Computer-Integrated Fabrication System Structure, CAFE Applications, Organization of Data for Factory Design, Organization of Data for Factory Control, Organization of Algorithms for Factory Design, Organization of Algorithms for Factory Control, Statistical Process Control Charts for the Computer-Aided Fabrication Environment, Interfaces of Run-by-Run Control, Implementations of Run-by-Run Control, Integration of Run-by-Run Control, Hardware Setup for a Remote Microscope, First-Order Model for Remote Fabrication, Estimating the Lead Time Distribution of Priority Lots in a Semiconductor Factory, Factory Display Software, Message Passing Tools for Software Integration, CAFE at MIT Lincoln Laboratory, Error Handling Within CAFE, Semiconductor Manufacturing Process Flow Representation, Computer-Aided Technology Design

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Relation: Massachusetts Institute of Technology, Research Laboratory of Electronics, Progress Report, January 1 - December 31, 1994; Systems and Signals; Computer-Aided Design; Computer-Integrated Fabrication System Structure; Massachusetts Institute of Technology. Research Laboratory of Electronics. Progress Report, no. 137; RLE_PR_137_03_01s_02; http://hdl.handle.net/1721.1/57288

Availability: http://hdl.handle.net/1721.1/57288