Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Sextans: A streaming accelerator for general-purpose sparse-matrix dense-matrix multiplication
Sparse-Matrix Dense-Matrix multiplication (SpMM) is the key operator for a wide range of
applications including scientific computing, graph processing, and deep learning …
applications including scientific computing, graph processing, and deep learning …
{Deep-Dup}: An adversarial weight duplication attack framework to crush deep neural network in {Multi-Tenant}{FPGA}
The wide deployment of Deep Neural Networks (DNN) in high-performance cloud
computing platforms brought to light multi-tenant cloud field-programmable gate arrays …
computing platforms brought to light multi-tenant cloud field-programmable gate arrays …
Programming and synthesis for software-defined FPGA acceleration: status and future prospects
YH Lai, E Ustun, S ** CNNs onto embedded systems
M Arredondo-Velazquez… - IEEE Latin America …, 2020 - ieeexplore.ieee.org
Convolutional neural networks (CNN) have turned into one of the key algorithms in machine
learning for content classification of digital images. Nevertheless, the CNN computational …
learning for content classification of digital images. Nevertheless, the CNN computational …
An interview with professor Jason Cong [interview]
Y Chen - IEEE Circuits and Systems Magazine, 2024 - ieeexplore.ieee.org
In September 2023, the EiC of the IEEE Circuits and Systems Magazine, Yiran Chen, and
Associate Editor Fan Chen had a great chance to interview Professor Jason Cong, a world …
Associate Editor Fan Chen had a great chance to interview Professor Jason Cong, a world …
Flexible Convolver for Convolutional Neural Networks Deployment onto Hardware-Oriented Applications
M Arredondo-Velázquez, PA Aguirre-Álvarez… - Applied Sciences, 2022 - mdpi.com
This paper introduces a flexible convolver capable of adapting to the different convolution
layer configurations of state-of-the-art Convolution Neural Networks (CNNs). The use of two …
layer configurations of state-of-the-art Convolution Neural Networks (CNNs). The use of two …