Team

Silvio Luiz Stanzani is Research Associate at UNESP Center for Scientific Computing (Núcleo de Computação Científica da Universidade Estadual Paulista – NCC/UNESP), working on the Intel Modern Code Partner project. He holds a Ph.D. from Escola Politécnica da Universidade de São Paulo (EPUSP), and a Master from Universidade Católica de Santos (Unisantos). He has experience in software development focused on parallel programming and distributed computing since 2005.

Raphael Mendes de Oliveira Cóbe has a Ph.D. on Computer Science from the Mathematics and Statistics Institute of the University of São Paulo with emphasis on Artificial Intelligence. He accounts for over 10 years of experience on software development. Nowadays he works as Research Associate at UNESP Center for Scientific Computing, working mainly on projects related to cloud, grid computing and big data.


Rogério Luiz Iope holds a B.S. in Applied Physics (minor in Instrumentation & Microelectronics) and a Ph.D. in Electrical Engineering (major in Computer Engineering) from the University of São Paulo (USP). He works with the development of high performance computing systems and distributed systems since 2001. He works as Research Associate at UNESP Center for Scientific Computing and is responsible for the development and technical coordination of new projects in partnership with industry. He is Co-PI of the “Intel Parallel Computing Center” and the “Intel Modern Code Partner” programs established at UNESP CSC in partnership with Intel.


Calebe de Paula 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 (Petrobrás/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.


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.