In recent years, many CPU-GPU heterogeneous graph processing systems have been
developed in both academic and industrial to facilitate large-scale graph processing in …

Data-intensive systems are the backbone of today's computing and are responsible for
shaping data centers. Over the years, cloud providers have relied on three principles to …

Distributed query processing systems such as Apache Hive and Spark are widely-used in
many organizations for large-scale data analytics. Analyzing and understanding the query …

In this paper, we propose nsDB, a novel neuro-symbolic database system that integrates
neural and symbolic system architectures natively to address the weaknesses of each …

The amelioration of information technology and the infiltration of it almost all the sectors of
world have resulted in massive efflux of data. The rampant increase in the generation of data …

Mapping queries to optimal computing devices at the operator-level presents a significant
challenge in stream processing systems (SPS) with heterogeneous computing resources …

요 약최근 스트리밍 시스템에서 CPU/GPU 이종 환경을 활용하여 상태 기반 질의 성능
가속화하는 연구가 활발히 제안되고 있다. 대부분의 연구는 데이터 크기에 따라 질의 …