Sustainable Cloud Computing Systems: Follow Your Brain!
Speaker: David Atienza – Lausanne, SwitzerlandTopic(s): Hardware, Power and Energy
Abstract
Information technology (IT) has emerged as a pillar for a digital economy of growth. At the core of this digital economy is cloud computing to centralize global IT services with ubiquitous access at a minimal cost. As such, data centers are the key building block in cloud computing and play an indispensable role as enablers for the progress of our digital society. However, the soaring demand for computing power in data centers in the last years has grown faster than semiconductor technology evolution can sustain. Thus, as undesirable collateral effects, it has produced a surge in power consumption and heat density in the new many-core servers in data centers, compromising our digital society's long-term environmental sustainability. In this talk, Prof. Atienza will advocate to completely revise current practices to design high-performance server architectures and data centers targeting the next generation of Deep Learning algorithms (particularly in personalized health and Big Data analytics). In particular, inspired by the mammalian brain, it is proposed a two-fold approach. First, a new disruptive three-dimensional (3D) computing server architecture that jointly provides power and cooling using a single microfluidic medium to overcome the prevailing worst-case provisioning paradigm for servers. Also, it will be explained how we can integrate new on-chip microfluidic fuel cell networks to enable energy-scalability in future generations of many-core servers. Second, a new system-level machine learning-based workloads assignment that is carbon footprint-aware for data centers will be presented. This new system-level approach deploys novel proactive energy controllers for detailed heat and energy management in servers and racks to minimize cooling in complete data center infrastructures.
About this Lecture
Number of Slides: 40Duration: 50 minutes
Languages Available: English
Last Updated:
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