Instruction Level Parallelism (PDF)

Alex Aiken is the Alcatel-Lucent Professor and the current chair of the Computer Science Department at Stanford. His research interests include most areas of programming languages and compilers and particularly automated methods of analysis for both high performance and high reliability.


Utpal Banerjee has a PhD in mathematics from Carnegie-Mellon University and a PhD in computer science from the University of Illinois at Urbana-Champaign. He has taught at the University of Cincinnati, Arizona State University and the University of Illinois. Dr. Banerjee has served as a research staff member at Honeywell, Fairchild, Control Data and Intel corporations. His current affiliation is with the Department of Computer Science, University of California at Irvine. He has published a number of papers and books on restructuring compilers, including encyclopedia articles and a series of books on loop transformations. He is a fellow of the IEEE and a fellow of the ACM.


Arun Kejariwal is a Statistical Learning Principal at Machine Zone. He co-founded MZ Research and currently manages a team of research scientists. He is leading the research and development of novel algorithms for fraud detection, anomaly detection in security and operational data. Prior to joining Machine Zone, he was a lead in the Data Fidelity Team at Twitter and open sourced standalone R packages for anomaly detection and breakout detection. He received Ph.D. in Computer Science from UC Irvine and is a Senior Member of IEEE and ACM.


Alexandru Nicolau's research is in the areas of Parallel Processing/ILP, and Embedded Systems/Design Automation. His interests focus on Computer Performance/power tradeoffs, parallelizing compilers, GPUs. His current work involves collaborations both within and outside UCI, most recently with researchers at Stanford, University of Michigan, UCLA, UCSD as part of a flagship NSF Expedition project, and a separate grant with UIUC. He authored over 300 peer-reviewed