Abstract: The explosion of digital data and the ever-growing need for fast data analysis have made in-memory big-data processing in computer ... large-scale graph processing is gaining attention due ...

TigerGraph is a distributed, native graph computing platform designed to get around these limitations. TigerGraph’s native parallel graph ... the same server. Computer science theory tells ...

We further develop system-aware parallel graph algorithms that enable runtime optimizations for faster and safer processing, hence bridging high-performance computing and big data analytics. Finally, ...

The graphics processing ... dense graph for GPU processing, due to its more irregular computation and memory access patterns. Medusa offers a small set of user-defined APIs, and embraces a runtime ...

The master of science ... that computer engineers find in industry and research. Courses and research in computer engineering include computer systems, computer architecture, mobile systems, parallel ...

At The University of Texas at Austin, Pingali is the W.A. "Tex" Moncrief Chair of Grid and Distributed Computing and a professor in the Department of Computer Science and ... for irregular parallel ...

This work was published in the Proceedings of the ACM on Management of Data.The team included the Data Darkness Lab (DDL) at the Medical Imaging Intelligence and Robotics Research Center of the ...