In this paper we focus on common data reorganization operations such as shuffle,
pack/unpack, swap, transpose, and layout transformations. Although these operations …

The widespread applications of the wireless Internet of Things (IoT) is one of the leading
factors in the emerging of Big Data. Huge amounts of data need to be transferred and …

Hybrid memory cube (HMC) has promised to improve bandwidth, power consumption, and
density for the next-generation main memory systems. In addition, 3-D integration gives a …

With the emergence of 3D-DRAM, Processing-in-Memory has once more become of great
interest to the research community and industry. Here we present our observations on a …

With the emergence of 3D-DRAM, Processing-in-Memory has once more become of great
interest to the research community and industry. In this paper, we present our observations …

While cluster computing frameworks are continuously evolving to provide real-time data
analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics …

As we head toward a data-centric era, conventional computing systems become inadequate
to meet the evolving demands of the applications. As a result, the near-memory processing …

The sheer increase in the volume of data over the last decade has triggered research in
cluster computing frameworks that enable web enterprises to extract big insights from big …

In terms of power and energy consumption, DRAMs play a key role in a modern server
system as well as processors. Although power-aware scheduling is based on the proportion …

The advent of 3D memory stacking technology, which integrates a logic layer and stacked
memories, is expected to be one of the most promising memory technologies to mitigate the …