근래의 대부분의 컴퓨터에서는 컴퓨팅 기술의 발달로 벡터 처리 유닛이 포함됨으로 인해 과거에 벡터 프로세서로 구성된 일부 슈퍼 컴퓨터들만이 지원했던 벡터 처리 기능을 지원하고 있다. 데이터분석 응용에서는 데이터를 특정 기준으로 그룹핑하는 요구가 많으며 이는 많은 시간을 필요로 한다. 본논문에서는 SIMD 명령어를 활용하여 정렬된 데이터에 대한 그룹 연산을 벡터 처리 기반으로 효율적으로 처리하는 방법을 제안한다. 제안하는 방법을 열기반 DBMS인 MonetDB의 그룹 연산에 적용한 후 실험을 통해 그룹 연산의 성능이 스칼라 기반 방법에 비해 향상되었음을 확인하였다.
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