Fueled by ImageNet Large Scale Visual Recognition Challenge and Common Objects in
Context competitions, the convolutional neural network (CNN) has become important in …

A significant amount of research in the field of job scheduling is carried out in Hadoop.
However, there is still need for research to overcome some challenges regarding scheduling …

While demand for data center computational resources continues to grow as the size of data
grows, the semiconductor industry has reached scaling limits and is no longer able to …

Due to individual unreliable commodity components, failures are common in large-scale
distributed storage systems. Erasure codes are widely deployed in practical storage systems …

Scale-out infrastructure such as Cloud is built upon a large network of multi-core processors.
Performance, power consumption, and capital cost of such infrastructure depend on the …

Composite Cores Architecture (CCA), a class of dynamic heterogeneous architectures,
enables the system to construct the right core at run-time for each application by composing …

In this paper, we present a full end-to-end implementation of big data analytics applications
in a heterogeneous CPU+ FPGA architecture. Selecting the optimal architecture that results …

Datacenters provide high performance and flexibility for users and cost efficiency for
operators. Hyperscale datacenters are harnessing massively scalable computer resources …

The memory subsystem has always been one of the performance bottlenecks in computer
systems. Given the large size of data, therefore, the questions of whether Big Data requires …

Abstract “More data, more information.” Big data helps businesses and research
communities to gain insights and increase productivity. Many public cloud service providers …