IOQL: An I/O Interface for Near-Data Processing
As data sets grow, the overhead of moving data around different units in computers significantly affects the execution time of applications. Performing computation near the source location of data as much as possible can fundamentally minimize the demand of data movement. However, doing this is difficult with existing computer systems. This project will develop an Input/Output Query Language (IOQL) to provide a natural language and interface for users to easily describe the tasks to compute near data storage. The IOQL infrastructure optimizes and coordinates the allocation of all tasks in the system. IOQL will boost the performance of many critical datacenter applications.
Dr. Hung-Wei Tseng, assistant professor of computer science at NC State, has been granted $499,515 by the National Science Foundation (NSF) for his proposed project: “IOQL: An I/O Interface for Near-Data Processing.” The project began on August 15, 2018 and will run through July 31, 2021.
Tseng also leads the Extreme Storage and Computer Architecture Laboratory at NC State.
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