FPGA Dynamic and Partial Reconfiguration
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/07/25
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Journal
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Indian UGC (journal)
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Refrences165
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Citations65
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Kizheppatt Vipin Nazarbayev University, Astana, Republic of Kazakhstan
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Suhaib A. Fahmy University of Warwick, Coventry, United Kingdom ORCID (unauthenticated)
Abstract
Cite
Vipin, Kizheppatt, and Suhaib A. Fahmy. “FPGA Dynamic and Partial Reconfiguration”. ACM Computing Surveys, vol. 51, no. 4, 2018, pp. 1-39, https://doi.org/10.1145/3193827.
Vipin, K., & Fahmy, S. A. (2018). FPGA Dynamic and Partial Reconfiguration. ACM Computing Surveys, 51(4), 1-39. https://doi.org/10.1145/3193827
Vipin, Kizheppatt, and Suhaib A. Fahmy. “FPGA Dynamic and Partial Reconfiguration”. ACM Computing Surveys 51, no. 4 (2018): 1-39. https://doi.org/10.1145/3193827.
Vipin K, Fahmy SA. FPGA Dynamic and Partial Reconfiguration. ACM Computing Surveys. 2018;51(4):1-39.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1007/978-3-319-16214-0_45 | ||||
| 10.1007/3-540-61730-2_35 | ||||
| Technical Report MSR-TR-2009- 150. Microsoft Research. | 2009 | |||
| 10.1007/978-90-481-3485-4 | ||||
| Novel dynamic partial reconfiguration implementations of the support vector machine classifier on FPGA | Turkish Journal of Electrical Engineering and Computer Sciences |
| 6 | 2016 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| FPGA-based ML adaptive accelerator: A partial reconfiguration approach for optimized ML accelerator utilization | Array |
| 2024 | |
| NDSTRNG: Non-Deterministic Sampling-Based True Random Number Generator on SoC FPGA Systems | IEEE Transactions on Computers |
| 2024 | |
Ferroelectric FET-based context-switching FPGA enabling dynamic reconfiguration for adaptive deep learning machines | Science Advances |
| 2024 | |
Flexible Updating of Internet of Things Computing Functions through Optimizing Dynamic Partial Reconfiguration | ACM Transactions on Embedded Computing Systems |
| 2024 | |
Agile FPGA Computing at the 5G Edge: Joint Management of Accelerated and Software Functions for Open Radio Access Technologies | Electronics |
| 2024 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 32
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled An FPGA-Oriented Baseband Modulator Architecture for 4G/5G Communication Scenarios and was published in 2018. The most recent citation comes from a 2024 study titled FPGA-based ML adaptive accelerator: A partial reconfiguration approach for optimized ML accelerator utilization. This article reached its peak citation in 2023, with 16 citations. It has been cited in 46 different journals, 15% of which are open access. Among related journals, the Electronics cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.