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Design and simulation of a RISC-V dual-core lockstep for fault tolerant systems
(Universidade do Vale do Rio dos Sinos, 2020-07-31)
Embedded processors are increasingly being used in every industry and consumer segment, including critical-safety applications. The critical parameter of the processors, previously performance, was replaced by the need to ...
Design and simulation of a RISC-V dual-core lockstep for fault tolerant systems
(Universidade do Vale do Rio dos Sinos, 2020-07-31)
Embedded processors are increasingly being used in every industry and consumer segment, including critical-safety applications. The critical parameter of the processors, previously performance, was replaced by the need to ...
MaxDropout: Deep neural network regularization based on maximum output values
(2020-01-01)
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few. In lockstep, regularization methods, which ...
Divergência em GPU: análises e alocação de registradores
(Universidade Federal de Minas GeraisUFMG, 2013-03-08)
The use of graphics processing units (GPUs) for accelerating Data Parallel workloads is the new trend on the computing market. This growing interest brought renewed attention to the Single Instruction Multiple Data (SIMD) ...
FEMa: a finite element machine for fast learning
(2019-01-01)
Machine learning has played an essential role in the past decades and has been in lockstep with the main advances in computer technology. Given the massive amount of data generated daily, there is a need for even faster ...