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 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)
A three day workshop hosted by the Barcelona Supercomputing Center (BSC) where I gained some hands-on knowledge on their performance tools, e.g. Dimemas and Paraver, which are used to profile High-Performance-Computing (HPC) applications.
Sadly, I was not able to visit the MareNostrum supercomputer, which is located in an old cathedral in Barcelona (picture above).
Today marks the beginning of DEEP-EST, a three year High-Performance-Computing (HPC) research project which is funded by the European Commission with the Horizon 2020 research initiative. I will be directly involved in this project as a representative of the University of Iceland, which is one of six application partners. My task will be to map ,and optimize, three machine learning applications; Support Vector Machines, Highly Parallel DBSCAN, and a custom Deep Learning application; to a heterogeneous supercomputer prototype.
The Image above was taken during the kick-off meeting at the Jülich Supercomputing Centre in North Rhine-Westphalia, in Germany, which coordinates the project.
More information on DEEP-EST, and the DEEP projects can be found here and here.