Rethinking SIMD Vectorization for In-Memory DatabasesOrestis Polychroniou∗
Columbia Universityorestis@cs.columbia.eduArun Raghavan
Oracle Labsarun.raghavan@oracle.comKenneth A. Ross†
Columbia Universitykar@cs.columbia.eduABSTRACT
Analytical databases are continuously adapting to the un-
derlying hardware in order to saturate all sources of par-
allelism. At the same time, hardware evolves in multiple
directions to explore different trade-offs. The MIC architec-
ture, one such example, strays fro
