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 build data processing frameworks that can process large volumes of data in a short duration, a few milli- and even micro-seconds. In the prevalent computer systems designs, data is stored passively in storage devices which is brought in for processing and then the results are written out. As the volume of data explodes this constant data movement has led to a "data movement wall" which hinders further process and optimizations in data processing systems designs. One promising alternative to this architecture is to push computation to the data (instead of the other way around), and design a computational-storage device or CSD. The idea of CSD is not new and can trace its root to the pioneering work done in the 1970s and 1990s. More recently, with the emergence of non-volatile memory (NVM) storage in the mainstream computing (e.g., NAND flash and Optane), the idea has again gained a lot of traction with multiple academic and commercial prototypes being available now. In this brief survey we present a systematic analysis of work done in the area of computation storage and present future directions.
