| Dr. Tinoosh Mohsenin on November 15, 2011 |
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The Baltimore Chapter of the Electron Devices and Solid-State Circuits Societies is pleased to host Dr. Tinoosh Mohsenin from the University of Maryland, Baltimore County. Dr. Mohsenin will discuss Efficient High Performance Architectures for Communication Applications. The meeting will be held on Tuesday evening November 15 at the National Electronics Museum near the BWI airport. The technical presentation will be preceded by complimentary refreshments; attendance is free but please This e-mail address is being protected from spambots. You need JavaScript enabled to view it by Monday November 14. Click HERE for directions.
AGENDA
ABSTRACT Many emerging and future communication applications require a significant amount of high throughput data processing and operate with decreasing power budgets. This need for greater energy efficiency and improved performance of electronic devices demands co-optimization of algorithms, architectures, and implementations. This talk presents several design projects that illustrate the cross-domain optimization. The design of System-on-Chip (SoC) blocks becomes increasingly sophisticated with emergent communication standards that have large real-time computational requirements. Two such algorithms, Low Density Parity Check (LDPC) decoding and Compressive Sensing (CS), have received significant attention. LDPC decoding is an error correction technique which has shown superior error correction performance and has been adopted by several recent communication standards. Compressive sensing (CS) is a revolutionary technique which reduces the amount of data collected during acquisition and allows sparse signals and images to be recovered from very few samples compared to the traditional Nyquist sampling. While both LDPC decoding and compressive sampling have several advantages, they require high computational intensive algorithms which typically suffer from high power consumption and low clock rates. This talk presents novel algorithms and architectures to address these challenges. As future communication systems demand increasing flexibility and performance within a limited power budget, multi-core and many-core chip architectures have become a promising solution. The design and implementation of a many-core platform capable of performing DSP applications is presented. The low power and low area core processors are connected through a hierarchical network structure. The network protocol includes contention resolution for high data traffic between cores. The result is a platform with higher performance and lower power consumption than a traditional DSP with the ease of programmability lacking in an ASIC. Early post place and route results from a standard-cell design gives processor areas of 0.078 mm2 each using TSMC's 65 nm process.
ABOUT THE SPEAKER Dr. Tinoosh Mohsenin received the B.S. degree in electrical engineering from the Sharif University of Technology, Iran, and the M.S. and Ph.D. degrees in electrical and computer engineering from Rice University and the University of California, Davis in 2004 and 2010, respectively. In 2011, she joined the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County, where she is currently an Assistant Professor. 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 DSP workloads. She holds several publications and patents and has been a consultant to early stage technology companies. She serves as a member of the Technical Program Committees of the IEEE Biomedical Circuits & Systems Conference (BioCAS), Life Science Systems and Applications Workshop (LiSSA), and IEEE Women in Circuits and Systems (WiCAS) . |
| Last Updated on Thursday, 27 October 2011 12:10 |
