Prof. Rabl and his database systems research colleagues from TU Berlin and the DFKI received the 2020 ACM SIGMOD Best Paper Award for one of their four accepted papers at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data. The winning paper “Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects,” by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, and Volker Markl explores the use of GPUs to accelerate database query processing.
GPUs have long been discussed as accelerators for database query processing because of their high processing power and memory bandwidth. However, two main challenges limit the utility of GPUs for large-scale data processing: (1) the onboard memory capacity is too small to store large data sets, yet (2) the interconnect bandwidth to CPU main-memory is insufficient for ad-hoc data transfers. As a result, GPU-based systems and algorithms run into a transfer bottleneck and do not scale to large data sets. In practice, CPUs process large-scale data faster than GPUs with current technology. In this paper, we investigate how a fast interconnect can resolve these scalability limitations using the example of NVLink 2.0. NVLink 2.0 is a new interconnect technology that links dedicated GPUs to a CPU...
See also the news entry from April 3rd regarding the four accepted papers at the 2020 ACM SIGMOD/PODS conference.