L I P

Laboratório de Instrumentação e Física Experimental de Partículas

L I P

L I P [PARTICLES AND TECHNOLOGY]

AdvCmp

Advanced Computing


// Scientific Computing

Computação Científica

Members of Advanced Computing Group have previous work in Grid, HPC, computing models, high performance communication libraries and distributed data structures. Research also encompasses R&D on the combination of traditional multicore CPUs with acceleration devices.

The group, part of the LIP-Minho since the beginning of 2014, has been directing its activity to the fields of Computer Science and Engineering more closely related to areas particularly interesting for LIP´s research. Noteworthy are the support to the development and optimization of code applications related to high energy physics, and the search for explicit distribution strategies for access to large data volumes in order to improve efficiency and execution times.

More recently the group embraced topics related to the areas of big data and machine learning. Another important dimension of the group’s activity is the support to advanced training in Scientific Computing. The group is also responsible for the administration of a local HPC cluster that supports the running of the data analysis applications developed by other groups in LIP and a CPU/GPU system dedicated to machine learning simulations.

// Research Area
Física Experimental de Partículas com aceleradores
Contacts
Group Leader:  
António Pina

pina@di.uminho.pt


 


  • Evaluation of Type-1 Hypervisors on Desktop-class Virtualization Hosts
  • Author(s):  Duarte Pousa, José Rufino
  • Publication:  2017-12-10
  • Reference:  IADIS International Journal on Computer Science and Information Systems (ISSN 1646-3692), vol. 12, num. 2, pp. 86-101  

  • Benchmarking of Bare Metal Virtualization Platforms on Commodity Hardware
  • Author(s):  Duarte Pousa, José Rufino
  • Publication:  2017-10-18
  • Reference:  Proceedings of the 14th International Conference on Applied Computing (AC 2017), pp. 205- 212, IADIS. 18-20 October, 2017. Vilamoura, Portugal. (best paper award)   View publication

  • Experiences on Object Tracking Using a Many-Core Embedded System
  • Author(s):  Laercio Minozzo, José Rufino, José Lima
  • Publication:  2017-10-18
  • Reference:  Proceedings of the 14th International Conference on Applied Computing (AC 2017), pp. 195-204, IADIS. 18-20 October, 2017. Vilamoura, Portugal   View publication

  • Solving Multilocal Optimization Problems with Parallel Stretched Simulated Annealing
  • Author(s):  J. Rufino, A.I.Pereira
  • Publication:  2015-12-31
  • Reference:  Volume 8580 of the series Lecture Notes in Computer Science pp 154-168   View publication

View all the group publications


  • ANTS
  •  Anger camera-type detector simulation and experimental data processing tools.
  •     website


View all the group publications



António Esteves
Minho
External Collaborator

António Pina
Minho

José Rufino
Minho
External Collaborator

Vítor Oliveira
Minho
External Collaborator

 
 

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Laboratório de Instrumentação e Física Experimental de Partículas   LIP.PT

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