Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Multi-tenant FPGA cloud systems represent a new frontier in high-performance computing
(HPC), blending flexibility, processing power, and cost efficiency. FPGA-based systems, integrated into
cloud environments, hold immense potential for industries requiring real-time data processing, such as
artificial intelligence (AI), finance, and healthcare. These systems enable dynamic resource allocation,
offering better performance while addressing cost concerns. This paper presents a detailed exploration of
the system architecture, challenges, implementation, and the impact of such systems, along with an
evaluation of their suitability in line with India’s government initiatives. Potential future research
directions such as quantumFPGA integration are also discussed.
"Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a275-a280, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501037.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator