Date: December, 11 2017 2:30pm – 4:30pm
Place: ISCTE-IUL Room: Auditorio J.J. Laginha
The need for ever more powerful supercomputers does not appear to be slowing down, but the challenges to push computing to exaFLOP levels and beyond are becoming increasingly difficult. Targets for computing throughput, memory capacity, memory bandwidth, power efficiency, reliability, and cost make the construction of an Exascale machine to be a significant challenge. In this talk, I will first present an overview of current AMD technologies, and then I will describe one possible vision for a processor architecture that can be used to construct Exascale systems. We describe a conceptual Exascale Node Architecture (ENA), which is a computational building block for an Exascale supercomputer. The ENA consists of an Exascale Heterogeneous Processor (EHP) coupled with an advanced memory system. The conceptual EHP provides a high-performance accelerated processing unit (CPU+GPU), in-package high-bandwidth 3D memory, and aggressive use of die-stacking and chiplet technologies to meet the requirements for Exascale computing in a balanced manner. In addition to detailing our approach, I will also discuss some of the remaining open research challenges for the community. More Information..
Date: Monday 16 October 2017
Venue: Abreu Faro Amphitheatre, Interdisciplinary Building, IST, Lisbon
17:00 - Albert-László Barabási (Center of Complex Networks Research, Northeastern University & Division of Network Medicine, Harvard University): Taming Complexity: Controlling Networks
17:45 - Yasser Omar (Instituto Superior Técnico & Instituto de Telecomunicações): The Emergence of Complex Quantum Networks
18:30 - end.
Taming Complexity: Controlling Networks
Albert-László Barabási (Center of Complex Networks Research, Northeastern University & Division of Network Medicine, Harvard University)
Abstract: The ultimate proof of our understanding of biological or technological systems is reflected in our ability to control them. While control theory offers mathematical tools to steer engineered and natural systems towards a desired state, we lack a framework to control complex self-organized systems. Here I will explore the controllability of an arbitrary complex network, identifying the set of driver nodes whose time-dependent control can guide the system's entire dynamics. Virtually all technological and biological networks must be able to control their internal processes. Given that, issues related to control deeply shape the topology and the vulnerability of real systems. Consequently, unveiling the control principles of real networks, the goal of our research, forces us to address series of fundamental questions pertaining to our understanding of complex systems. Finally, I will discuss how control principles inform our ability to predict neurons involved in specific processes in the brain, offering an avenue to experimentally falsify and test the predictions of network control.
The Emergence of Complex Quantum Networks
Yasser Omar (Instituto Superior Técnico & Instituto de Telecomunicações)
Abstract: Complex network theory and quantum physics are being brought together to define and study a new subject: complex quantum networks. But what exactly are complex quantum networks? And can they play a role in our understanding of fundamental science? And what is their role in quantum technologies, namely in quantum computation and in quantum communications? In this talk I will discuss what we know so far and what challenges lie ahead in this novel research domain.
Supported by: IST, IT, and project NQuN – The Nature of Quantum Networks, John Templeton Foundation (Grant Agreement n. 60478).
Web page: http://www.phys-info.org/symposium.html More Information..