Severo Ochoa Research Seminars

Monday, 11 December, 2017

This time we have a two days seminar with a tutorial format. The talk is free of charge but registration is required. The seminars will take place the 11 and 12th of December at Sala d´Actes of FIB.

Monday, 20 November, 2017

This seminar is organized jointly with UPC TelecomBCN school. This session will include two talks from industry leaders in the field of artificial intelligence.

Monday, 23 October, 2017

This seminar is jointly organized with the High Performance Computing research group (CAP) of the Computer Architecture Department at UPC.

Tuesday, 11 July, 2017

The most common software update on the AppStore *by far* is "Bug fixes and performance enhancements." Now that Moore's Law Free Lunch has ended, programmers have to work hard to get high performance for their applications. But why is performance so hard to deliver?

Tuesday, 27 June, 2017

Wednesday, 14 June, 2017


Short Bio: Daniel A. Jiménez is a Professor in the Department of Computer Science and Engineering at Texas A&M University. He was previously Assistant and later Associate Professor in the Department of Computer Science at Rutgers University, and Professor and Chair of the Department of Computer Science at The University of Texas at San Antonio. Daniel received his doctorate in Computer Sciences from the University of Texas at Austin in 2002.  He is interested in characterizing and exploiting the predictability of programs to improve microarchitecture.  He pioneered the development of neural-inspired branch predictors, which have been implemented in microprocessors from AMD, Oracle, and Samsung.  Daniel designed the neural branch predictor or the Samsung Exynos M1 which is used in the popular Samsung Galaxy S7. He is a Senior Member of the IEEE, an ACM Distinguished Scientist, and an NSF CAREER award winner. He was General Chair of IEEE HPCA in 2011 and Program Chair for IEEE HPCA in 2017.