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2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)
The stacked autoencoder is a deep learning model that consists of multiple autoencoders. This model has been widely applied in numerous machine learning applications. A significant amount of effort has been made to increase the size of the deep learning model with respect to the size of the training dataset and the parameter of the model to improve performance. However, training a large deep learning...
In the past decades, image processing technologies have been applied to process medical images. Usually, image segmentation is an important strategy. Fuzzy c-means clustering algorithm has been wildly used for segmentation of brain magnetic resonance image. In the paper, we implement a genetic Fuzzy c-means clustering algorithm based on embedded graphic process units system, NVIDIA TK1, to accelerate...
Array operations are useful in a lot of important scientific codes, such as molecular dynamics, finite-element methods, atmosphere and ocean sciences, and etc. In recent years, more and more applications, such as geological analysis and medical images processing, are solved and processed by using array operations for three-dimensional (abbreviate to 3D) sparse arrays. Due to the huge computation time,...
The extension of time-triggered message-based on-chip architectures towards an AUTOSAR MPSoC platform helps to achieve the AUTOSAR goals, in particular with respect to fault isolation and temporal predictability. Simulation environments enable early analysis and performance tests of the software for MPSoC platforms. However, there is no simulation environment that combines on-chip network communication...
NEural Simulation Tool(NEST) is a large scale spiking neuronal network simulator of the brain. In this work, we present a CUDA® implementation of NEST. We were able to gain a speedup of factor 20 for the computational parts of NEST execution using a different data structure than NEST's default. Our partial implementation shows the potential gains and limitations of such possible port. We discuss possible...
In many-core based parallel computing field, how to optimally allocate and schedule computing core resources according to characteristics of parallel applications is one typical and fundamental problem, which touches closely to computing performances. After analyzing features and mechanisms of Kepler CUDA architecture, three heterogeneous streaming parallel computing modes and corresponding constraints,...
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