iGPU-Accelerated Pattern Matching on Event Streams

Abstract

Pattern matching, also known as Match-Recognize in SQL, is an expensive operator of particular relevance in many event stream applications. However, because of its sequential nature and challenging latency requirements, current stream processing engines do not provide any parallel processing support for pattern matching. In addition, hardware accelerators based on dedicated GPUs also offer limited support due to the overhead of transferring data between their local and main memory. In contrast, however, integrated GPUs (iGPUs), with their ability to access main memory directly, offer great potential to accelerate pattern matching. This paper presents the first full-fledged implementation of pattern matching cooperatively using iGPUs and CPUs. Our results obtained from a preliminary experimental performance comparison confirm the potential of our iGPU-based approaches for accelerating pattern matching.