The significant overhead needed to transfer the data between CPUs and memory devices is
one of the hottest issues in many areas of computing, such as database management …

The bottleneck between the processor and memory is the most significant barrier to the
ongoing development of efficient processing systems. Therefore, a research effort begun to …

We live in a data-centric world where we are heading to generate close to 200 Zettabytes of
data by the year 2025. Our data processing requirements have also increased as we push to …

Graph processing plays a pivotal role in numerous large-scale applications, including social
and transportation networks. One of the primary challenges in handling large-scale graph …

While (1) serverless computing is emerging as a popular form of cloud execution,
datacenters are going through major changes:(2) storage dissaggregation in the system …

In near-data computing (NDC), computation is brought into data, as opposed to bringing
data to computation. While there is prior work focusing on different NDC opportunities, there …

Since the advent of computers, computing performance has been steadily increasing.
Moreover, recent technologies are mostly based on massive data, and the development of …

This work presents an automated design and optimization flow for near on-chip memory
computing systems by placing dedicated hardware accelerators directly next to the onchip …

Near-Data Processing is a promising approach to overcome the limitations of slow I/O
interfaces in the quest to analyze the ever-growing amount of data stored in database …

Abstract Most modern Integrated Circuits (ICs) are heterogeneous System-on-Chip (SoC)
that include multiple embedded processors, on-chip memories, different types of serial …