Li Juan Chan

Introduction :: Who am I?Hello World, I am Li Juan Chan. I am currently a fourth year mechanical engineering student from the University of Manchester. You might be wondering how a mechanical engineering student ended up in a HPC research

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Jordy Ajanohoun

Hi! I am Jordy Ajanohoun, Computer Science and Applied Mathematics Engineering Student. Welcome to my blog ! I am a 22 years old french student in the last year over 5 of my Master of Engineering program at Sorbonne University

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Irén Simkó

Irén is a chemistry student from Budapest. She has just finished her masters at Eötvös Loránd University, and would like to continue her studies at the Hevesy György PhD School of Chemistry. Her field is theoretical chemistry and she wrote

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Allison Walker

Hi all! I’m Allison, and I have the great pleasure of being one of the participants in the 2019 Summer of HPC Program.  I am Canadian born, Australian raised, and I have just finished studying in Spain. My professional background

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Perry Gibson

Hello! My name is Perry, hailing from Glasgow, Scotland. I’ve just completed my first degree, an MInf in Informatics, at The University of Edinburgh. For my summer of HPC, I will be working at the BSC, Barcelona. I’m curious about

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David Izquierdo

Hi all! My name is David Izquierdo and I am 21 years old. I am from Sabiñánigo, a little town in the north of Spain, and I will be soon finishing my bachelor’s degree in Aerospace Engineering in the University

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Rebecca Lait

Hello from Bologna! My name is Beckie Lait, I am 21 years old and I have just started my PRACE Summer of HPC journey! I have been looking forward to this opportuity for so long and I am so pleased

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Kara Moraw

Me in Varde Miniby (Denmark)

Hey everyone, I’m Kara, studying Computer Science in Bonn, Germany. While at university I mostly lean towards courses on IT Security topics, I am excited to work in HPC this summer. Starting next week, I will be in Amsterdam figuring

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Large scale data techniques for research in ecology

Project reference: 1921 Ecologists studying animal movement require integrating multiple kinds of data coming from different sources. In particular, at SURFsara we are helping ornithologists to work with a new stream of radar data. Where the researchers are used to

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Task-based models on steroids: Accelerating event driven task-based programming with GASNet

Project reference: 1909 One of the grand challenges of HPC is providing programming tools that enable the programmer to write parallel codes capable of scaling to hundreds of thousands, or even millions, of cores. Task-based programming models are seen as

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Encrypted volumes for PCOCC private clusters

Project reference: 1920 There is an increasing demand for processing confidential data, such as the genetic makeup of humans, personal data, and data that, if leaked or modified, could have serious legal consequences. Normally, supercomputers and clusters are shared by

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HPC application for candidate drug optimization using free energy perturbation calculations

Project reference: 1911 The advent of technological advances in the field of computer-aided drug design has streamlined the drug design process, making it more cost- and time-efficient. One of the most important tasks in the lead optimization phase of the

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Using HPC to investigate the structure and dynamics of a KRAS oncogenic mutant

Project reference: 1910 High-Performance Computing has lately enabled multimillion atom simulations in nanoscale systems. In this project, we will simulate KRAS, a protein, which is mutated in 70% of human cancers in contact with a model cell membrane. The goal

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Distributed Memory Radix Sort

Project reference: 1915 A Radix Sort is an array sorting algorithm that can run in O(N) time, compared with typical sorting algorithms like QuickSort which run in O(Nlog(N)) time. Typical sorting algorithms sort elements using pairwise comparisons to determine ordering,

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Performance analysis of Distributed and Scalable Deep Learning

Project reference: 1925 With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning (ML). ML is in a nutshell “the science

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Energy Reporting in Slurm Jobs

Project reference: 1924 Energy consumption is one of the largest problems faced by modern supercomputing in the race to build Exaflop/s capable systems. In the past decade hardware design focus has shifted from obtaining the best possible performance to improving

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Industrial Big Data analysis with RHadoop

Project reference: 1923 The project will consist of: Getting to know Hadoop and RHadoop; Defining big data source related to Industry 4.0; Creating and storing big data files (BD); Preparing BD for basic analysis; Defining predictive model and writing RHadoop

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Visualization schema for HPC gyrokinetic data

Project reference: 1922 Gyrokinetic simulations are essential for better understanding of the plasma turbulence. For that purpose, a variety of non-linear gyrokinetic codes are being used and further developed, such as GENE, GYRO, ELMFIRE etc. These codes differ in numerics,

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High Performance Lattice Field Theory

Project reference: 1919 Simulations of classical or quantum field theories often rely on a lattice discretized version of the underlying theory. For example, simulations of Lattice Quantum Chromodynamics (QCD, the theory of quarks and gluons) are used to study properties

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Good-bye or Taskify!

Project reference: 1918 Today’s supercomputing hardware provides a tremendous amount of floating point operations (FLOPs). While CPUs are designed to minimize the latency of a stream of individual operations, GPUs try to maximize the throughput. However, GPU FLOPs can only

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