Learning to track objects in 4D data

flowing foam sytem tomographic reconstruction animation 3D

At the time when I wrote my last blog post (check it out if you didn’t read it!) I was quite happy with the state of my Summer of HPC project “Tracing in 4D data“. I had completed the implementation

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The best of both worlds

comparison between NumPy, Cython and Cython with the OpenCL solver

Sometimes, rejecting unfeasible ideas early enough is a crucial step towards actually solving a problem. In my quest to speed up the ocean modeling framework Veros, I considered the option of restructuring the existing pure Python code in order to

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Breaking the 4th dimensional wall of object tracking

another brick in the wall

My first Monday morning in Copenhagen, Konstantinos and I met the guys working at the Niels Bohr Institute and we had a very delicious breakfast together. Seriously, Danish pastries are so good I can understand why the Danes named them

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Life of Py


August 7th 5:30 am, Copenhagen Central Station. I spent the weekend exploring the city along with my roommate Alessandro and my friend Antti, who traveled from Jülich to visit us. Among other activities, we walked the helical corridor to reach

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Full speed ahead – Accelerating ocean simulations

Coastal wave propagation Atlantic veros ocean simulation

How will Earth’s climate change in the next century? This is the kind of questions climate researchers ask themselves and the reason they develop global climate models. These are used to simulate conditions over long periods of time and under

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Adding a new dimension to object tracking

point tracking, optical flow, lucas kanade

If you read my presentation blog post and you have come here expecting to see some nice visualizations about dying blowflies, then keep reading as I have a little surprise for you. As you may already know, my project is

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Alessandro Marzo

alessandro marzo, summer of hpc

My name is Alessandro Marzo and I’m from Pesaro, Italy. If you never heard if it, just know that it is famous for two things: 1) it is the birthplace of the famous Italian composer Gioacchino Rossini and 2) it’s

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Konstantinos Koukas

My name is Konstantinos Koukas and I am a 22 years old student from Athens, Greece. I am currently pursuing a Bachelor’s degree in Computer Science at the Department of Informatics and Telecommunications of the University of Athens. I plan

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Accelerating climate kernels

Project reference: 1718 Climate research is a major user of supercomputing facilities, however the spatial resolution of climate models are much coarser than similar models for weather forecasting, and thus they no longer scale as the computers become bigger. Instead

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Tracing in 4D data

Project reference: 1719 Europe has several synchrotron facilities including, ESRF, PSI, and MAX-IV. These facilities produce still more data. Especially medical beam lines produce enormous datasets; they collect 3D volumes at a frequency that produce 3D movies. An example is

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Goodbye Copenhagen, A Shakespearean Epilogue

It’s been a while in since the project started in Copenhagen, and it is perhaps a good time to summarize the adventure so far. Spending almost two month in Copenhagen, Denmark, is enough time to get a good impression of

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Presentations From Denmark

Here are the final presentations from Moti & Lukas Moti Lukas Please follow and like us:

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2nd Copenhagen Quiz

It is now time for the 2nd and last quiz from Copenhagen, dedicated to our final project. If you recall our previous post about climate modeling, it introduced some figures of observed climate data. A precise definition of Albedo can

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The Butterfly Effect, Chaos and Climate Modeling

Ever wondered what is the connection between the Butterfly effect, Chaos and Supercomputers? One of the the best ways to describe it can be using climate modeling. Geophysics and Climate Modeling Geophysics is a field in exact sciences that tries to

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K-Means Clustering in Astrophysics

Particle-In-Cell (PIC) models have gained widespread use in astrophysics as a means to understand detailed plasma dynamics, particularly in collisionless plasmas, where non-linear instabilities can play a crucial role for launching plasma waves and accelerating particles. PIC models employ often hundreds of billions of computational ‘particles’ to represent the astrophysical plasma, for example electrons, ions and photons.

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Accelerate Routines in CCSM4

The Community Earth System Model (CESM) is a fully-coupled, global climate model that provides state-of-the-art computer simulations of the Earth’s past, present, and future climate states. In order to improve the simulations, the resolution and complexity of the model is constantly increased, which in turn increases the computational demand of the model.

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