- Ph.D Candidate
- VLSI Computation Laboratory
- Electrical and Computer Engineering
- University of California, Davis
- Advisor: Dr. Bevan Baas
Jon Pimentel was born in McKinleyville, California and graduated magna cum laud with the B.S. degree in Electrical Engineering from the University of California, Davis in 2009. He received the M.S. degree in Electrical and Computer Engineering from the University of California, Davis in 2015. Since 2009, he has have been pursuing his Ph.D. degree in Electrical and Computer Engineering at the University of California, Davis.
He currently works in the VLSI Computation Laboratory with Professor Bevan Baas. His research covers hybrid floating point units and the physical design of his group's next many-core chip. His interests include high-performance low power many-core processor architecture, VLSI design, floating-point unit architecture, synthetic aperture radar signal processing, and biomedical imaging.
Jon interned with the Many Integrated Core (MIC) design group at Intel in Hillsboro, Oregon in Fall 2013. While at Intel he worked on the core architecture of the next generation MIC product.
Mr. Pimentel has been a GAANN Fellow since 2009. He received the Graduate Research Mentorship Fellowship in 2011; the UCD and Humanities Graduate Research Award in 2012 and 2014; the Frank and Carolan Walker Fellowship in 2012, 2014, and 2016; the George S. and Marjorie Butler Fellowship in 2014; the ECEGP Fellowship in 2014 and 2015; the ECE TA Program Support Fellowship in 2015; the Herbert Tryon Fellowship in 2015 and 2016; and the Laura Perrot Mahan Fellowship and Dissertation Writing Fellowship in 2016. He received the Third Place Best Student Paper at Asilomar 2014.
Jon is a member of the Tau Beta Pi Engineering Honor Society, the Phi Kappa Phi Honor Society, the Golden Key International Honor Society, the Institute of Electrical & Electronics Engineers (IEEE), and the Portuguese American Post-Graduate Society.
Currently, Jon is pursuing his Ph.D. in the area of floating point architectures and manycore processor design. To read more about his research interests and projects, please click on the research tab above.