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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Computer Science from Universidade do Oeste Paulista (2002), Master's in Computer Science and Computational Mathematics from University of São Paulo (2005) and PhD in Computer Science and Computational Mathematics from University of São Paulo (2010). He is currently an Associate Professor at the Department of Computing at the Federal University of São Carlos. He has experience in the area of Computer Science, with emphasis on Computer Architecture, High Performance Computing, Heterogeneous Computing, Embedded Systems and Compilers, working mainly in accelerating applications in FPGAs and GPUs, both for large applications and for embedded systems. . (Source: Lattes Curriculum)
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A new era of processors is being led by RISC-V, an open standard architecture free of royalties, which allows the development of more flexible and less costly implementations. This scenario raises the present project, which aims to propose a superscalar RISC-V processor with dual-issue static scheduling for execution on FPGA devices, specified in Verilog HDL. The starting point of the wor…
The problem of estimating the attitude and position of air vehicles is largely dealt with using techniques based on Kalman filter. In fact, the algorithm obtains good estimates when the system states are not observable, as presented in several works in the last decades. In this research project, attitude estimation will be treated using a version of the Kalman filter for nonlinear systems…
With the evolution of High Performance Computing (HPC) began the popularization of many programs and algorithms that required high computational power, for example the deep neural convolutional network(DNCN). The DNCN, that are mostly used for image classification and recognition, achieved a peak of popularity with the triumph of the AlexNet in the ImageNet Large Scale Visual Recognition …
FPGAs have become an interesting alternative to the acceleration of applications both in embedded systems and in high-performance computing. The main barrier to wider use of this technology is the difficulty to program these devices. This project aims to facilitate the automatic hardware generation from the intermediate representation of the LLVM compiler. Known techniques in our research…
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The evolution of High Performance Computing (HPC) allowed the popularization of many programs and algorithms that required high computational power, such as Convolutional Neural Networks (CNN). However, the requirement for higher accuracy in classification increased the number of layers used by these networks, thereafter raising the power consumption of the whole system. Min Soo Kim's Ph.…
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| 7 / 7 | All Scholarships |
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