Efficient Adaptable Streaming Aggregation Engine

Aggregation queries are a series of computationally-demanding analytics operations on grouped or time series data. Existing challenges include the increased hardware utilisation and random memory access patterns that result from hash-based approaches or multi-tasking. This paper presents a high-throughput and reconfigurable pipeline for a wide range of aggregation tasks with a minimal hardware overhead.