Video outpainting aims to adequately complete missing areas at the edges...
Federated learning (FL) is a new machine learning paradigm, the goal of ...
In recent years, with the trend of applying deep learning (DL) in high
p...
Performing analytic of household load curves (LCs) has significant value...
For the architecture community, reasonable simulation time is a strong
r...
The complexity and diversity of big data and AI workloads make understan...
Several fundamental changes in technology indicate domain-specific hardw...
As architecture, system, data management, and machine learning communiti...
Electricity users are the major players of the electric systems, and
ele...
The complexity and diversity of big data and AI workloads make understan...
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
The past decades witness FLOPS (Floating-point Operations per Second) as...
The past decades witness FLOPS (Floating-point Operations per Second), a...
With tremendous growing interests in Big Data systems, analyzing and
fac...
Different from the traditional benchmarking methodology that creates a n...
Traditionally, multi-layer neural networks use dot product between the o...