Suhail Balsalama Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Suhail Balsalama's research has focused on the development of specialized hardware architectures for machine learning applications. His work includes the creation of a customizable, domain-specific memory-centric FPGA overlay designed to enhance the performance of machine learning tasks. This research was published in 2021.
Balsalama has collaborated with David Andrews at the University of Arkansas at Fayetteville on shared publications. His scholarly output to date includes one publication, which has received seven citations, and he has an h-index of 1.
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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