Harnessing Computational Storage For Faster Data Processing


By Ujjwal Negi and Prashant Dixit In the evolving landscape of data storage, computational storage devices (CSDs) are revolutionizing how we process and store data. By embedding processing capabilities within storage units, these devices enable in-situ data manipulation, minimizing data movement between storage and CPUs and dramatically improving performance and efficiency. This paradigm shi... » read more

Modeling Analytics for Computational Storage


This paper discusses the expected performance benefits of offloading some important basic database operations — namely Scan, Filter and Project — to computational storage. We evaluate the performance estimate model using TPC-DS workload and two database engines running on Hadoop clusters: SPARK- SQL and Presto. This paper is organized as follows: after covering previous computational sto... » read more

Has Computational Storage Finally Arrived?


The idea behind computational storage is not new. It’s just that like so many concepts, the idea has been well ahead of the technology. In a nutshell, computational storage brings processing power to the storage level. It eliminates the need to load data from the storage system into memory for processing. Moving data between storage and compute resources is inefficient and computational sy... » read more

New Power, Performance Options At The Edge


Increasing compute intelligence at the edge is forcing chip architects to rethink how computing gets partitioned and prioritized, and what kinds of processing elements and memory configurations work best for a particular application. Sending raw data to the cloud for processing is both time- and resource-intensive, and it's often unnecessary because most of the data collected by a growing nu... » read more

Computing Where Data Resides


Computational storage is starting to gain traction as system architects come to grips with the rising performance, energy and latency impacts of moving large amounts of data between processors and hierarchical memory and storage. According to IDC, the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025. But that data is essentially useless unless it is analyzed or some amou... » read more

Solving CSD Verification Challenges


To tackle power consumption and slow execution, modern computational storage devices (CSD) seek to reduce data movement by including a small processing element next to the CSD (figure 1). The data request from the host is executed locally by the processing element, data is locally manipulated, and the result sent back to the host. Much less data is exchanged between storage and host, thus savin... » read more