ECE brings home Engineering at Illinois awards
By Mark Pajor, ECE ILLINOIS
July 8, 2014
- Professor Wen-Mei Hwu was awarded the Collins Award for Innovative Teaching for his work teaching a massive open online course on parallel programming, including use of the Personify video technology.
- Shobha Vasudevan earned a Dean's Award for Excellence in Research for her accomplishments over the last year. Her highest-impact research was in Big Data analytics, a root-cause diagnosis methodology for mobile systems with performance failures, which is now operational in Huawei Technologies.
- Professor Jose Schutt-Aine, Associate Professor Lynford Goddard, Associate Professor Rakesh Kumar, and Assistant Professor Robert Pilawa-Podgurski were named Engineering Council Outstanding Advisors.
Several ECE faculty were honored at the 50th-annual faculty award ceremony for Engineering at Illinois.
Professor Wen-mei W. Hwu was awarded the Collins Award for Innovative Teaching, Assistant Professor Shobha Vasudevan earned a Dean’s Award for Excellence in Research, and four ECE professors were named Engineering Council Outstanding Advisors: Professor Jose E. Schutt-Aine, Associate Professor Lynford L. Goddard, Associate Professor Rakesh Kumar, and Assistant Professor Robert Pilawa-Podgurski.
Hwu earned the Collins Award for Innovative Teaching, an award that recognizes outstanding development or use of new and innovative teaching methods. Hwu’s major avenue of innovative teaching is his development of a parallel programming course, both in the ECE ILLINOIS classroom and across the world online. His massive open online course on parallel programming was first offered through Coursera in 2012, and a revised version of the class was offered earlier this year.
Parallel programming is essential to the continued improvement of software performance. Hwu is committed to educating students at Illinois and beyond in this form of programming, which has only recently become vital on a large scale.
“In 2003, energy consumption and heat dissipation issues stalled the increase of the clock frequency and the level of productive activities that can be performed in each clock period within a single central processing unit,” Hwu said. “Since then, virtually all computer vendors have switched to models where multiple processing units, referred to as processor cores, are used in each chip to increase the processing power.”
Most software applications are written as sequential programs, where a single processing unit runs the program line-by-line. This traditional style of programming, however, does not take advantage of the multiple processing units available for the past decade in consumer computers. In order to improve software performance and develop new capabilities, software must be written as parallel programs, in which “multiple threads of execution cooperate to complete the work faster,” Hwu said.
“Now that all new microprocessors are parallel computers, the number of applications that need to be developed as parallel programs has increased dramatically,” Hwu said. “There is now a great need for software developers to learn about parallel programming, which asserts tremendous pressure for universities to find an effective way to teach parallel programming.”
Hwu is a leader in that search for effective parallel programming teaching methods. Because there is a need for many parallel programmers, Hwu brought his expertise to Coursera, a massive open online course platform that hosts experts from leading academic institutions to teach courses. His Coursera course is based on his experience teaching his original classroom course, but modified for the new platform.
He used the Personify video technology, developed at ECE Illinois, to provide the students with a much more engaging online learning experience. Hwu worked with graduate student Adbul Dakkak and others to automate the programming lab and make it available to the massive number of students.
“The course material has also been used by numerous universities, including MIT, Harvard, Stanford, and Georgia Tech,” Hwu said. “The course contents have been so popular that it has also been translated into Chinese, Japanese, Russian, and other languages.”
Considering his pioneering efforts in teaching an increasingly relevant topic, and his commitment to using online platforms to reach a wide pool of students, it is no wonder that he was awarded the Collins Award for Innovative Teaching.
“Illinois is now in the forefront of parallel programming education,” Hwu said. “This has been a truly exciting and rewarding experience for me.”
Professor Shobha Vasudevan earned a Dean’s Award for Excellence in Research, an award given to assistant professors who have conducted outstanding research during the previous academic year.
Vasudevan’s most visible, high-impact research contribution during that year was her work on GoldMine, a software implementation of algorithms to automatically generate invariant properties for verifying digital hardware. The verification process in industry is a major roadblock, most often requiring more time and resources than technology development itself.
By automating much of this process, GoldMine has had immediate impact in industry. Vasudevan’s GoldMine-related work has been articulated in several papers, such as the paper that earned her and her team the Best Paper Award at the 27th International Conference on VLSI Design.
One of Vasudevan’s other big accomplishments over that one-year period was a Big-Data analytics project. Vasudevan and her group worked with Huawei Technologies, a company in the telecommunications industry. Her group developed a methodology for diagnostics and root cause analysis in system level transaction trace data of wireless baseband systems.
Vasudevan explained that identifying the causes of latency issues – called performance violations – in the performance testing of cellphones is no small feat.
“[Cellphone companies] analyze the performance and power of these cellphones at a system level. Transaction traces at the system level could be 7 to 10 gigabytes,” Vasudevan said. If there is a performance violation, “any of those transaction traces could be the culprit.”
“It’s finding one culprit among billions — probably worse than a needle in a haystack,” she said.
Vasudevan’s PhD student, Lingyi Liu, helped create a system for finding that needle. He mimicked a wireless baseband system that he and some collaborators had worked on at Huawei. He implemented it in the lab, created a realistic testbed, and then used it for extensive experimentation with ECE undergraduate student Xuanyu Zhou. It took more than a year to get the experimental results. Vasudevan and Liu have released the testbed for use by researchers in this area, so that the reliance on proprietary systems is diminished.
“We actually found seven bugs in a few hours, when it used to on average take two to three weeks for every bug,” she said. “The success of this project shows the power of incorporating domain information algorithmically in Big-Data analytics.”
Vasudevan plans to extend the ideas of harmonizing statistical data analysis techniques with algorithmic inferencing to other applications of big data analytics in the future.
Vasudevan also received the 2013 ACM SIGDA Outstanding New Faculty Award last year. Her work was published and presented widely across the one-year period considered by the Dean’s Award. GoldMine was licensed by multiple EDA and semiconductor companies at this time, including IBM, Cadence, and AMD.
“It is an honor that my colleagues whom I hold in high esteem recognized me with this award,” Vasudevan said. “I am encouraged to pursue my students’ and my own research goals with renewed fervor.”
Schutt-Aine, Goddard, Kumar, and Pilawa-Podgurski were named Engineering Council Outstanding Advisors. The advisors are chosen based on evaluations from undergraduate and graduate students within the engineering discipline.
Hwu, Vasudevan, and the outstanding advisors were recognized and presented with their awards at the Spring 2014 Engineering at Illinois awards ceremony.
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