Prof. Dr. Tilmann Rabl

About the Talk

While modern hardware keeps offering increased parallelism and capabilities, harnessing them has been a perpetual challenge for decades for data-intensive systems. In particular, hardware trends oblige software to overcome three major challenges against systems scalability: (1) Taking advantage of the implicit parallelism within a core, (2) Exploiting the abundant explicit parallelism provided by multicores, (3) Achieving predictably efficient execution despite the non-uniform access latencies in multisocket multicores. This lecture will focus on these challenges in the context of transaction processing systems. 

About the Speaker

Pınar Tözün is an Associate Professor at IT University of Copenhagen. Before ITU, she was a research staff member at IBM Almaden Research Center. Prior to joining IBM, she received her PhD from EPFL. Her thesis received ACM SIGMOD Jim Gray Doctoral Dissertation Award Honorable Mention in 2016. Her research focuses on resource-aware machine learning, performance characterization of data-intensive systems, and scalability and efficiency of data-intensive systems on modern hardware.

Website: www.pinartozun.com