Intel Parallel Computing Center (2014 - 2016)


The main goal of the Intel® Parallel Computing Center (IPCC) project was the development of the new version of the Geant software -- the GeantV, which has vectorization functions that make it more efficient than previous ones.

The software is used to simulate the interaction between radiation and matter, and has applications in medicine and space engineering. In high energy physics, it is used by the European Organization for Nuclear Research (CERN) to compare theoretical models with the results of experiments performed in the Large Hadron Collider (LHC).

  • R&D efforts to adapt HEP(High Energy Physics) software tools    
  • Explore the new manycore architectures

Parallelization of GEANT (GEometry ANd Tracking)   

  • Essential simulation platform for HEP 
  • Need to explore the opportunities offered by new Manycore architectures
  • Requires long calculation times
  • Broad impact: radiation-hard  electronics, dosimetry    

The development was done in association with:

  •  The CERN Geant-V development team   
  •  Fermilab Scientific Computing Simulation Department    

Guilherme Amadio
Is a postdoc at SPRACE. He works on the parallelization of high energy physics software for Intel® Xeon Phi™ coprocessors. He has a PhD in aerospace engineering from University of Illinois at Urbana-Champaign. His PhD thesis work focused on simulating the microstructures of solid rocket propellants. Before going to Illinois, He studied nuclear astrophysics at the University of Tokyo, in Japan.

Calebe Bianchini
Has been working on a variety of project in the last 15 years. Most of them are R&D projects in HPC area, such as Galileo (Petrobras/USP) and IPCC (Intel/UNESP). He is also an associate professor at Mackenzie University leading in-house small projects, both in HPC and in software engineering. He has a PhD in computer engineering from USP/Brazil and an MSc in computer science from UFSCar/Brazil. The former was focused on HPC and grid computing and the latter was focused on software engineering and networks. Nowadays, He is optimizing a high-energy physics software using fine-grained (e.g. SIMD) and coarse-grained parallelism (e.g. threads) for Intel® Xeon Phi™ coprocessors.


  • Test vector-coprocessor prototypes in hybrid parallel systems   
  • Analyze the performance on Intel Xeon Phi coprocessors
  • Evaluate the redesign efforts to adopt the next generation of Intel  manycore coprocessors
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