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Despite the increase of memory capacity and CPU computing power, memory performance remains the bottleneck of in-memory DBMS due to ever-increasing data volumes and application demands. Since the scale of data workload has outpaced traditional CPU caches and memory bandwidth, it is essential to optimize data movement from memory to computing units. In this work, we present a near-memory Database Accelerator (DBA) framework that offloads data-intensive database operations via or to a near-memory computation engine. DBA’s system architecture includes a DBA software module/driver and memory module with DBA engine. We build a Proof-of-Concept (PoC) of DBA using FPGAs with attached DIMMs, and then conduct an experimental evaluation.

Optimizing Data Movement with Near-Memory Acceleration of In-memory DBMS.