Elastic Dataflow Engines for the Masses
Georgi Gaydadjiev - VP of Dataflow Software Engineering of Maxeler Technologies
Tuesday, May 30, 2017

Abstract

Public cloud computing has been taking the world by storm. A public cloud appeals to both senior management and to IT departments of many organizations from a wide range of domains. For senior management, a public cloud creates a second source for IT services, removing the lock-in with large internal IT teams and steadily growing infrastructure costs. For the new generation of IT professionals, the public cloud offers the power to manage a massive amount of resources with reduced effort and lower required expertise. Cloud providers are now becoming serious about high performance computing services: 2016 has seen the integration of Altera into Intel, on the back of a large deployment of Altera products at Microsoft; SuperVessel of OpenPower by IBM using Xilinx devices and more recently Amazon announcing their new AWS EC2 F1 instance as their top end performance offering. AWS F1 instances are fully compatible with Maxeler’s MAX5 Dataflow Engines (DFEs) generation and come in single and eight-way configurations similar to the MPC-C appliances (one DFE) and the 8-way MPC-X DFE appliance in 1U form factor. The above provides organizations with the ultimate elasticity to blur the boundaries between public and private clouds in case of hybrid, large-scale deployments. This is of special interest for large organizations in Finance and Data Business Analytics where confidentiality, service level guarantees, and critical business continuity services are of ultimate importance. The recently announced partnerships of Maxeler with Amazon Web Services and Hitachi Data Systems emphasize just two examples of the competitive edge our DFE technology brings on the cloud while providing solutions for extremely hard problems, e.g., computing minimal capital requirements using standard models (FRTB and Basel III) and high-frequency, transaction-related record keeping (Dodd-Frank and MiFID II). In this talk we will show how our Multiscale Dataflow Computing solutions leverage the Amazon AWS F1 instance and provide an elastic hybrid cloud solution to minimize both operational and financial, cost and risk.

About the speaker

Georgi Gaydadjiev is VP of Dataflow Software Engineering of Maxeler Technologies. Georgi has been designing various computer systems in both Industry and Academia for more than 25 years. He is also a Visiting Professor at the Department of Computing at Imperial College. In the period between 2011 and 2015 he held a Chair in Computer Systems Engineering at Chalmers University of Technology in Sweden and was a faculty member at the Microelectronics and Computer Engineering Department at TU Delft starting from 2002. Georgi has three Best Paper Awards (ICS-10, USENIX/SAGE-06), one of his projects in industry won the CES Design & Engineering Showcase Award in 1999 and his academic research for the last 14 years was funded by the European Commission, National Agencies in the Netherlands, Sweden and UK, as well as Google Inc. in USA.