The Systems Research Group is re-starting their seminars series from 6th May 2022. Seminars will take place every two weeks at 1pm, on Fridays. From May to July the seminars will be online (SRG Teams), while from September onward we aim to move them to a hybrid format. More information on the schedule can be … Systems Research Group seminars
We present a novel design and implementation of k-means clustering algorithm targeting supercomputers with heterogeneous many-core processors. This work introduces a multi-level parallel partition approach that not only partitions by dataflow and centroid, but also by dimension. Our multi-level ($nkd$) approach unlocks the potential of the hierarchical parallelism in the SW26010 heterogeneous many-core processor and the … SRG Seminar: “Large-Scale Hierarchical k-means for Heterogeneous Many-Core Supercomputers” by Teng Yu
Record linkage is the process of identifying records that refer to the same real-world entities, in situations where entity identifiers are unavailable. Records are linked on the basis of similarity between common attributes, with every pair being classified as a link or non-link depending on their degree of similarity. Record linkage is usually performed in … SRG Seminar: “Using Metric Space Indexing for Complete and Efficient Record Linkage” by Özgür Akgün
Virtualisation is a powerful tool used for the isolation, partitioning, and sharing of physical computing resources. Employed heavily in data centres, becoming increasingly popular in industrial settings, and used by home-users for running alternative operating systems, hardware virtualisation has seen a lot of attention from hardware and software developers over the last ten?fifteen years. From … SRG Seminar: “Efficient Cross-architecture Hardware Virtualisation” by Tom Spink
Abstract In this talk, I will talk about the possibility of using Bayesian nonparametric clustering, or Dirichlet Process Mixture model to solve human activity recognition problem. In particular, I will discuss how the technique can be useful when the activity labels are not annotated and/or the activity evolves over the time. This initial study is … SRG Seminar: “Application of Bayesian Nonparametric in household human activity recognition” by Lei Fang
Abstract Data processing paradigms are undergoing a paradigm shift as we move more and more towards real time processing. Emerging software models such as the SMACK stack are at the forefront of this change, focused on a pipeline processing model, but are also introducing new levels of operational complexity in running multiple complex distributed systems … SRG Seminar: “Introduction to Apache Mesos and the DataCenter Operating System” by Matt Jarvis
We have explored data coordination techniques that permit distributed systems to be constructed by interconnecting services. In such systems the network latency is often a problem. For example, large data volumes might have to be transmitted across the network if computation cannot be co-located close to data sources. One solution to this problem is the … SRG Seminar: “On Engineering Unikernels” by Ward Jaradat
Biography: Dr. Anil Madhavapeddy is a University Lecturer at the Cambridge Computer Laboratory, and a Fellow of Pembroke College where he is Director of Studies for Computer Science. He has worked in industry (NetApp, Citrix, Intel), academia (Cambridge, Imperial, UCLA) and startups (XenSource, Unikernel Systems, Docker) over the past two decades. At Cambridge, he directs … DLS: Functional Foundations for Operating Systems
Abstract The core problem in many sensing applications is that we’re trying to infer high-resolution information from low-resolution observations — and keep our trust in this information as the sensors degrade. How can we do this in a principled way? There’s an emerging body of work on using topology to manage both sensing and analytics, … “Sensing and topology: some ideas by other people, and an early experiment” by Simon Dobson
Self-organisation and self-governance offer an effective approach to resolving collective action problems in multi-agent systems, such as fair and sustainable resource allocation. Nevertheless, self-governing systems which allow unrestricted and unsupervised self-modification expose themselves to several risks, including the Suber’s paradox of self-amendment (rules specify their own amendment) and Michel’s iron law of oligarchy (that the … SRG Seminar: “Interactional Justice vs. The Paradox of Self-Amendment and the Iron Law of Oligarchy” by Jeremy Pitt