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March 2017

Lecture/Workshop: Model Predictive Control from an Application Point of View in Process Industry

March 10, 2017 @ 11:00 am - 1:00 pm
EEE 509A

The aim of this lecture is to provide an industrial perspective on Model Predictive Control with emphasis on: Important practical requirements Practice-proven solutions and approaches Understanding the required efforts in terms of time and money Differentiation between state of the art, state of science and vision (= inspirations for further developments) Lecture outline Motivation Model Predictive Control for Continuous Plants Nonlinear Model Predictive Control for Batch Plants Real Time Optimization Summary and Outlook Short Bio Dr Birk obtained his PhD…

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HiPEDS Seminar – Big graphs on big machines

March 14, 2017 @ 1:00 pm - 2:00 pm
Huxley Building 144, Imperial College London
London, SW7 2AZ United Kingdom
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Speaker: Dr. Tim Harris, Oracle Labs Cambridge Seminar Title: HiPEDS Seminar - Big graphs on big machines Abstract: Oracle's largest SPARC M7 system provides 4096 hardware threads spread over 16 sockets in one cache-coherent address space. I will talk about our experience tuning graph analytics workloads to run well on this system, and how we went from an implementation that stopped scaling at around 200 threads to a version that provides super-linear speed-ups on PageRank and SSSP running on 1TB+ inputs over the full machine.  I will focus on…

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May 2017

Data Co-Management with Modern Hardware

May 18, 2017 @ 12:00 pm - 2:00 pm
611 (Gabor Seminar Room), EEE Building

Upcoming lecture by Raja Appuswamy, Postdoctoral Researcger in the DIAS lab at EPFL, on data management systems Abstract The design of data management systems has always been driven based on two aspects, namely, underlying hardware and applications requirements. The past few years have, however, witnessed dramatic changes in both these aspects. On the hardware front, computer architecture is in a phase of constant change resulting in growing heterogeneity in the design of processors, memory, interconnects, and storage. With the wide-spread…

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August 2017

HiPEDS Seminar: Web Data Extraction: A Crash Course

August 23, 2017 @ 12:00 pm - 1:00 pm
Huxley Building Room 217, Imperial College London
London, SW7 2AZ United Kingdom

HiPEDS CDT Seminar Series with Giorgio Orsi, Senior Research Scientist at Meltwater. Abstract: Data acquisition plays an important role in modern organisations and is a strategic business process for data-driven companies such as insurers, retailers, and search engines. Data acquisition processes range from manual data collection and purchase, to cheaper but often technically challenging methods such as automated collection and crowdsourcing. The abundance of web data has made web scraping (also known as web data extraction or web wrapping) an…

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October 2017

HiPEDS Seminar: Database storage tiering, fast and slow

October 6, 2017 @ 12:00 pm - 1:00 pm
Huxley 139

Abstract: In 1987, Jim Gray and Gianfranco Putzolu introduced the five-minute rule for trading memory to reduce disk I/O using the then-current price-performance characteristics of DRAM and Hard Disk Drives (HDD). Since then, the five-minute rule has gained wide-spread acceptance as an important rule-of-thumb in data engineering. In the first part of this talk, we will revisit the five-minute rule three decades since its introduction and use it to identify impending changes in today's multi-tier storage hierarchy given recent trends…

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November 2017

HiPEDS Seminar: How can you trust formally verified software?

November 6, 2017 @ 12:00 pm - 1:00 pm
611 (Gabor Seminar Room), EEE Building

Abstract: Formal verification of software has finally started to become viable: we have examples of formally verified microkernels, realistic compilers, hypervisors etc. These are huge achievements and we can expect to see even more impressive results in the future but the correctness proofs depend on a number of assumptions about the Trusted Computing Base that the software depends on. Two key questions to ask are: Are the specifications of the Trusted Computing Base correct? And do the implementations match the…

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January 2018

HiPEDS Seminar: Distributed Private Data Collection at Scale

January 19 @ 12:00 pm - 1:00 pm
Huxley Building Room 218, Imperial College London
London, SW7 2AZ United Kingdom

Abstract: Large technology companies rely on collecting data from their users to understand their interests, and better customize the company's products. Increasingly, this must be done while preserving individual users' privacy.  Recently, techniques based on radomization and data sketching have been adopted to provide data collection protocols which optimize the privacy accuracy trade-off.  In this talk, I'll discuss methods deployed by Google and Apple to collect frequency information, and our recent work to monitor information on correlations in the data. Bio: Graham…

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March 2018

HiPEDS Seminar: Big Data and the Cloud: Implications for Structured Data Management

March 16 @ 2:00 pm - 3:00 pm
Huxley Building Room 217, Imperial College London
London, SW7 2AZ United Kingdom

Abstract: I will present an overview of some of the open challenges and opportunities for structured data management that are especially relevant for today’s world of Big Data and the Cloud. In the second half of the talk, I will discuss in depth one of the opportunities - approximate query processing - and reflect on why this technology is not mainstream in today’s data platforms. Bio: Surajit Chaudhuri is a Distinguished Scientist at Microsoft Research and leads the Data Management,…

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April 2018

HiPEDS Seminar: What’s new in TensorFlow? Updates from the Developer Summit.

April 12 @ 4:00 pm - 5:00 pm
Huxley 140

Abstract: Many new and exciting things are coming for TensorFlow, to be announced at the Developer Summit on 3/30 in Mountain View. Since this event will have just finished by the time I make it out the UK, I thought it'd be helpful to give a quick summary / overview of these new features and opportunities, then dive a little deeper into the topics that are most relevant to you. My focus is on usability, in particular - I'm excited…

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May 2018

HiPEDS Seminar: Probabilistic models and principled decision making @ PROWLER.io

May 30 @ 12:00 pm - 1:00 pm
RSM G41, Imperial College London
London, SW7 2AZ United Kingdom

Abstract: What use is machine learning unless we can turn predictions into decisions? In this talk I'll explain how this idea motivates our strategy at PROWLER.io. I'll explain how different research teams at the company are attacking different parts of decision theory, and focus on outputs from the probabilistic modelling team. I'll show how probabilistic models are used for forecasting in smart cities, and examine some of the machine learning advances we've made to achieve this. Short Bio: James Hensman…

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