Gustavo Alonso

Professor of Computer Science at ETH Zürich

Gustavo Alonso is a Professor of Computer Science at ETH Zürich. He studied telecommunications -electrical engineering- at the Madrid Technical University (ETSIT, Politécnica de Madrid). As a Fulbright scholar, he completed an M.S. and Ph.D. in Computer Science at UC Santa Barbara. After graduating from Santa Barbara, he worked at the IBM Almaden Research Center before joining ETHZ.

He is and has been involved in several start-ups related to cloud computing in positions ranging from scientific advisor to CTO. His research interests encompass almost all aspects of systems, from design to run time, nowadays mostly focused on cloud computing and large scale data centers.

Gustavo has received numerous awards for his research, including three Test-of-Time awards for work in databases, programming languages, and systems. He is a Fellow of the ACM, a Fellow of the IEEE, and a Distinguished Alumnus of the Department of Computer Science of UC Santa Barbara.



Day 2 - Wednesday 27th March 2019

Intelligence deep-dive sessions

Intelligence deep-dive sessions

From AI to cognitive applications to real-time streaming and hardware acceleration. These topics are just a sample of those that will be center-stage at the Intelligence deep-dive sessions.

4. Beyond Moore’s law, Hardware Acceleration

In recent years, the need for more computing power has exploded, triggered by breakthroughs in machine learning, data mining, genetics, etc. For decades, the answer to speed up the microprocessors was to increase computing frequency. Since computing power started to plateau, manufacturers have used different means to increase the capabilities of their chips, such as adding additional cores to facilitate parallel computing, or hardware such as GPUs (Graphics Processing Units) to accelerate specific algorithms, and lately FPGA or ASICs. In this talk you will learn how hardware is evolving and why conventional computing platforms are in the process of disappearing and being replaced with specialized architectures. The talk will cover several examples and outline several steps that organizations need to take in order to prepare themselves for these changes.