The VLSI Design and CAD Laboratory (VDCL, http://vdcl.cse.unt.edu) has reported that Dr. Saraju P. Mohanty was elevated to senior member of IEEE in May 2008. Senior member status is awarded to members who have at least 10 years of contributions to the profession. Only 8.1% of approximately 376,000 IEEE members have received this status.
Dr. Saraju Mohanty has published a book, Low-Power High-Level Synthesis for Nanoscale CMOS Circuits, along with co-authors Nagarajan Ranganathan, Elias Kougianos, and Priyadarshan Patra. This book addresses the need for analysis, characterization, estimation, and optimization of the various forms of power dissipation in the presence of process variations of nano-CMOS technologies. The authors show very large-scale integration (VLSI) researchers and engineers how to minimize the different types of power consumption of digital circuits.
The material deals primarily with high-level (architectural or behavioral) energy dissipation because the behavioral level is not as highly abstracted as the system level nor is it as complex as the gate/transistor level. At the behavioral level there is a balanced degree of freedom to explore power reduction mechanisms, the power reduction opportunities are greater, and it can cost- effectively help in investigating lower power design alternatives prior to actual circuit layout or silicon implementation.
The book is a self-contained low-power, high-level synthesis text for Nanoscale VLSI design engineers and researchers. Each chapter has simple relevant examples for a better grasp of the principles presented. Several algorithms are given to provide a better understanding of the underlying concepts.
The initial chapters deal with the basics of high-level synthesis, power dissipation mechanisms, and power estimation. In subsequent parts of the text, a detailed discussion of methodologies for the reduction of different types of power is presented including:
Low-Power High-Level Synthesis for Nanoscale CMOS Circuits provides a valuable resource for the design of low-power CMOS circuits. It was written for Nanoscale VLSI design engineers and researchers; for students from senior undergraduate onwards in Computer Engineering, Electrical Engineering, and Computer Science interested in low-power VLSI.
Finally, we welcome a team of four researchers, Shu-Song Chen, Li-Te Lee,
Yu-Ting Pai, and Jih-Chieh Hsu, who are here at UNT visiting VDCL.
They are with the research group of Professor Shanq-Jang Ruan
from National Taiwan University of Science and Technology. They
have been funded by their university for up to a year to conduct
research at VDCL in the areas of low-power digital design and
LIT Group News
The Language and Information Technology (http://lit.csci.unt.edu) group had an active summer. Among their accomplishments:
Carmen Banea, Rada Mihalcea, Janyce Wiebe from the University of Pittsburgh and Samer Hassan's work on machine translation for multilingual subjectivity analysis has been accepted for publication in the Conference on Empirical Methods for Natural Language Processing. Carmen and Samer will attend the conference this fall in Honolulu, Hawaii.
Kino Coursey will attend the American Society for Information Science and Technology in Columbus, Ohio, to present his work (joint with Rada Mihalcea and William Moen) on keyword extraction for learning object repositories.
Andras Csomai (now at Google, Inc.) and Rada Mihalcea's work on linking documents to encyclopedic knowledge has been accepted for publication in the IEEE journal of Intelligent Systems, for a special issue on "Natural Language Processing for the Web."
Paul Tarau and Brenda Luderman's work on combinational logic synthesis has been published in the ACM conference on Computing Frontiers. Paul presented the paper this summer in Ischia, Italy.
Dragomir Radev from the University of Michigan and Rada Mihalcea's paper on networks and natural language processing will appear this fall in the journal of Artificial Intelligence.
In other news, Hakan Ceylan has completed an interesting summer internship at Yahoo! in Sunnyvale, California. The LIT group welcomes back Ben Leong. After completing a Masters degree at the University of Delaware, Ben came back to UNT to work on his Ph.D. He is the recipient of a Ph.D. fellowship from the Graduate School.
Rada Mihalcea has recently received an NSF grant to support a
research project to explore the relation between words senses and
subjectivity analysis. In addition, she also received tenure and
was promoted to Associate Professor.
New Faces in the CSE Department
Richard Goodrum is working on his Ph.D. in Computer Science and Engineering at Southern Methodist University with a research interest in Concurrent Flow (Graph Theory with applications in Social Networks). He received his B.S. and M.S. in Mathematics from the University of Houston.
Mr. Goodrum has been an Adjunct Professor for Southern Methodist University where he taught a course on Digital Computer Design. He has mentored numerous customers and colleagues in many different aspects of computing and taught industry courses on programming languages and operating systems including courses at the Naval Research Institute. Additionally, he taught several industry courses including a course on High Performance FORTRAN at the University of Singapore.
Mr. Goodrum spent over thirty years working in industry (Petroleum Exploration, Computer, Defense and Aviation) where he worked for Control Data Corporation, Compagnie Générale de Géophysique, HNSX Supercomputers, Alliant Computer Systems, MasPar Computer Corporation, Adaptive Solutions, Andrew SciComm, Lynx Real Time Systems, Alaiki, DNA Computing Solutions, and Sierra Nevada Corporation/PMI Business Unit.
Mr. Goodrum works with embedded, mini, mainframe and supercomputers. His experience includes scalar, vector, parallel and distributed computers. The vector computers had vector lengths from 64 to 65535 elements. The parallel computers had from 2 to 16,000 processors. These systems were SISD, SIMD and MIMD.
He is teaching CSCE 3030, Parallel Programming; CSCE 3612, Embedded Systems Design; and CSCE 4620, Real-Time Operating Systems for the CSE Department.
John Taber joins our CSE Department as an adjunct professor. Dr. Taber holds a B.S. in Civil Engineering from Lafayette College, an M.S. in Engineering from Princeton University and a Ph.D. in Engineering from Utah State University where his research concentrated in decision support systems.
Dr. Taber has taught as an adjunct professor at Lafayette College, Lehigh University, Penn State University, Brigham Young University, and Utah State University. Meanwhile, he runs a consulting engineering firm and a software development company that specializes in applying intelligent systems to highway and city planning. Research interests include expert systems, artificial intelligence, and GIS. Dr. Taber is also active in the open source software community.
This semester Dr. Taber is teaching CSCE 2050. Dr. Taber's website is located at http://www.cse.unt.edu/~jtaber/.