Tomorrow, Wednesday, October 3rd, Dr. Tinoosh Mohsenin will speak at the Grace Hopper Celebration of Women in Computing Conference at the Baltimore Convention Center. She will talk about a "A Many-core Platform for Intelligent Biomedical Systems". Her presentation will be on "Data Intensive Computing" in the New Investigators session starting at 10:45 am. For more details, visit: http://gracehopper.org/2012/schedule-at-a-glance/10-3/
CSEE professor Tinoosh Mohsenin to speak at Grace Hopper conference, 10/3
Abstract
This talk presents a low power programmable many-core platform well suited for portable biomedical and DSP applications and contains 64 cores routed in a hierarchical network. For demonstration, Electroencephalogram (EEG) seizure detection and analysis and ultrasound spectral doppler are mapped onto the cores. The seizure detection and analysis algorithm takes 900 ns and consumes 240 nJ of energy. Spectral doppler takes 715 ns and consumes 182 nJ of energy. The prototype is implemented in 65 nm CMOS which contains 64 cores, occupies 19.51 mm2 and runs at 1.18 GHz at 1 V.
Dr. Tinoosh Mohsenin is an assistant professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County since 2011. Prior to joining UMBC, she was finishing her PhD at the University of California, Davis. Dr. Mohsenin’s research interests lie in the areas of high performance and energy-efficiency in programmable and special purpose processors. She is the director of Energy Efficient High Performance Computing (EEPC) Lab where she leads projects in architecture, hardware, software tools, and applications for VLSI computation with an emphasis on digital signal processing workloads. She has been consultant to early stage technology companies and currently serves inTechnical Program Committees of the IEEE Biomedical Circuits & Systems Conference (BioCAS), Life Science Systems and Applications Workshop (LiSSA), International Symposium on Quality Electronic Design (ISQED) and IEEE Women in Circuits and Systems (WiCAS).