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Can a Helmholtz solver run on a cluster?

Related publications (42)

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Asynchronous Branch-Paralle Simulation of Detailed Neuron Models

Michael Lee Hines

Simulations of electrical activity of networks of morphologically detailed neuron models allow for a better understanding of the brain. State-of-the-art simulations describe the dynamics of ionic currents and biochemical processes within branching topologi ...

FRONTIERS MEDIA SA2019

Asynchronous Simulation of Neuronal Activity

Bruno Ricardo Da Cunha Magalhães

Simulations of the electrical activity of networks of morphologically-detailed neuron models allow for a better understanding of the brain. Short time to solution is critical in order to study long biological processes such as synaptic plasticity and learn ...

EPFL2019

Network-Compute Co-Design for Distributed In-Memory Computing

Alexandros Daglis

The booming popularity of online services is rapidly raising the demands for modern datacenters. In order to cope with data deluge, growing user bases, and tight quality of service constraints, service providers deploy massive datacenters with tens to hund ...

EPFL2018

Language Support for Distributed Functional Programming

Software development has taken a fundamental turn. Software today has gone from simple, closed programs running on a single machine, to massively open programs, patching together user experiences byway of responses received via hundreds of network requests ...

EPFL2015

Fast Distributed Correlation Discovery Over Streaming Time-Series Data

Karl Aberer, Saket Sathe, Tian Guo

The dramatic rise of time-series data in a variety of contexts, such as social networks, mobile sensing, data centre monitoring, etc., has fuelled interest in obtaining real-time insights from such data using distributed stream processing systems. One such ...

2015

Scalable and Adaptive Online Joins

Christoph Koch, Aleksandar Vitorovic, Abdallah Alaaeldin Abdelaziz Elguindy

Scalable join processing in a parallel shared-nothing environment requires a partitioning policy that evenly distributes the processing load while minimizing the size of state maintained and number of messages communicated. Previous research proposes stati ...

VLDB2014

Highly Dynamic Distributed Computing with Byzantine Failures

Rachid Guerraoui, Anne-Marie Kermarrec, Florian Huc

This paper shows for the first time that distributed computing can be both reliable and efficient in an environment that is both highly dynamic and hostile. More specifically, we show how to maintain clusters of size O(log N), each containing more than two ...

2013

Replication for Send-Deterministic MPI HPC Applications

André Schiper, Thomas Ropars, Arnaud Lefray

Replication has recently gained attention in the context of fault tolerance for large scale MPI HPC applications. Existing implementations try to cover all MPI codes and to be independent from the underlying library. In this paper, we evaluate the advantag ...

2013

Greedy Scheduling for Distributed Computing Clusters

Amin Karbasi, Milan Vojnovic

Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks associated with a job are received at a scheduler. In an embodiment an index can be computed for each combination of tasks and processors and stored in a looku ...

2011

Synchrotron X-ray microtomography and lattice Boltzmann simulations of gas flow through volcanic pumices

Orestis Pileas Malaspinas

To illustrate the advances made in permeability calculations combining X-ray microtomography and lattice Boltzmann method simulations, a sample suite of different types of pumices was investigated. Large three-dimensional images at high spatial resolution ...

2010