Suhail Balsalama
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Graduate Student Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Suhail Balsalama's research focuses on the development of hardware overlays for machine learning applications. His work includes the creation of a customizable domain-specific memory-centric FPGA overlay designed to enhance machine learning performance. This research addresses the computational demands of artificial intelligence by optimizing hardware architecture for efficient data processing and memory access.
Metrics
- h-index: 1
- Publications: 1
- Citations: 7
Selected Publications
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A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications (2021)
Collaboration Network
Top Collaborators
- A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications
- A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications
- A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications
- A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications
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