A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Accelerating database operators using a network processor
2005
Proceedings of the 1st international workshop on Data management on new hardware - DAMON '05
Database management systems (DBMSs) do not take full advantage of modern microarchitectural resources, such as wide-issue out-of-order processor pipelines. Increases in processor clock rate and instruction-level parallelism have left memory accesses as the dominant bottleneck in DBMS execution. Prior research indicates that simultaneous multithreading (SMT) can hide memory access latency from a single thread and improve throughput by increasing the number of outstanding memory accesses. Rather
doi:10.1145/1114252.1114260
fatcat:dm7ub4pxhrhkrpdcrsb6jzo6ea