Recently the DEEP-EST team met up for a three day meeting in Mannheim Germany where the blueprints for the Extreme-Scale-Booster (ESB) super-computing module where decided (among other things). The ESB module will be one of a kind, and I can´t wait to finally use it for our machine learning applications!
I attended the IGARSS conference in Valencia, Spain, where I hosted a High-Performance-Computing (HPC) tutorial with Gabriele Cavallaro from the Jülich Supercomputing Centre. Its a large conference and a professional society of the IEEE.
Additionally, I presented my conference paper which deals with scaling Support Vector Machines (SVMs) for very large datasets using HPC.
A two day, hands-on, workshop on Deep Learning (DL), which I co-supervised. Attendees got to know about, and train, Convolutional Neural Networks (CNNs) on the JURECA supercomputer at the Jülich Supercomputing Centre (JSC) using remote sensing input datasets.
For further details I refer to the web page of the course´s main supervisor, Prof. Dr. Morris Riedel.
Am very proud to present Echt:Natur, one of my contractor App projects that has come to fruition. The App was developed for the Michael-Succow-Stiftung to function as a guide for eleven nature reserves distributed over north-eastern Germany. I was mainly responsible for the Android and back-end software development.
Here you can find more information on the mobile application, including download links.
I am very pleased to announce that Briar´s Android application has finally reached the version 1.0 milestone. Unfortunately I don´t have the time to be involved as I used to be, but I am very happy for my colleagues and the open source community that this was achievable.
Download the app here
A complete two day face-to-face meeting in Iceland in the DEEP-EST project. Co-designing the next generation supercomputer prototype is no easy task, especially given the vastly different applications from the software application partners, such as the University of Iceland which I represent on the project. The meeting was a splendid success and I can´t wait to run my applications on all of the new hardware (which I can´t tell you about yet)
I presented a poster at EASC18, which included a lightning-talk, detailing our plans on enhancing Deep Learning (DL) with a modular super-computing approach which is being developed in the DEEP-EST project.
Here´s a PDF version of my poster if anyone is interested.
On a side not, Edinburgh is a beautiful city, and I quite enjoyed the haggis :).
Had an oral presentation on my conference abstract paper at the EGU18 on “Scaling DBSCAN towards exascale computing for clustering of big data sets” where I presented the challenges we face in the DEEP-EST project with clustering truly massive point-cloud data sets in the Terabyte range.
A do-over of the three day, hands-on, machine learning workshop in the Jülich Supercomputing Centre (JSC), in Germany, which I co-supervised. The popularity of the last course from January was so high that it was decided that we should host it again, filling the 40 attendee slots immediately. Attendees learned about the basics of machine learning, and extensively about SVMs, performing training, testing, cross-validation, and grid-search, on the Jureca Supercomputer.
A three day, hands-on, machine learning workshop in the Jülich Supercomputing Centre (JSC), in Germany, which I co-supervised. Attendees learned about the basics of machine learning, and extensively about SVMs, performing training, testing, cross-validation, and grid-search, on the Jureca Supercomputer.