The Vertical Research Group explores computer architecture, VLSI technology and semiconductor manufacturing processes with a vertically integrated approach. Changing technology constraints are leading to a scenario in which current techniques for building processors simply won't work. Emerging applications provide an opportunity to think in a fundamentally different way about how we build processors. We will explore techniques to build high-performance processors that can operate under future technology constraints of reliability and energy efficiency.
In 2012, the National Science Foundation (NSF) awarded $1.9 million in funds for a sustainability project that explores the role of human mediation in improving buildings' energy efficiency. Led by computer sciences associate professor Suman Banerjee, who is serving as principal investigator, this major research endeavor spans five disciplines and two campuses. The University of Wisconsin-Madison is partnering with Rensselaer Polytechnic Institute of Troy, New York, on the multidisciplinary research.
At the 30th International Conference on Machine Learning, held June 16-21, 2013, in Atlanta, UW professor Xiaojin (Jerry) Zhu and co-authors Zoubin Ghahramani and John Lafferty received the 2013 Classic Paper Prize. The team won the award for their paper "Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions." The Classic Paper Prize is designed to recognize papers that time and hindsight have proven to be of lasting value to the machine learning community. Their paper was published at ICML in 2003.
Computer sciences PhD student Wenfei Wu and associate professor Aditya Akella's paper titled "Virtual Network Diagnosis as a Service" won the Best Student Paper award at the 2013 ACM Symposium on Cloud Computing (also known as SOCC 2013). Guohui Wang (Facebook) and Anees Shaikh (IBM) are co-authors.