The commoditization of high-performance networking has sparked research interest in the
RDMA capability of this hardware. One-sided RDMA primitives, in particular, have generated …

Groupjoins, the combined execution of a join and a subsequent group by, are common in
analytical queries, and occur in about 1/8 of the queries in TPC-H and TPC-DS. While they …

The last decade has brought groundbreaking developments in transaction processing. This
resurgence of an otherwise mature research area has spurred from the diminishing cost per …

Networkswith Remote DirectMemoryAccess (RDMA) support are becoming increasingly
common. RDMA, however, offers a limited programming interface to remote memory that …

When numerical and machine learning (ML) computations are expressed relationally,
classical query execution strategies (hash-based joins and aggregations) can do a poor job …

Groupjoins combine execution of a join and a subsequent group-by. They are common in
analytical queries and occur in about of the queries in TPC-H and TPC-DS. While they were …

The analysis of massive datasets requires a large number of processors. Prior research has
largely assumed that tracking the actual data distribution and the underlying network …

Most of the prior work in massively parallel data processing assumes homogeneity, ie, every
computing unit has the same computational capability and can communicate with every …

In distributed in-memory computing systems, data distribution has a large impact on
performance. Designing a good partition algorithm is difficult and requires users to have …

Efficient data processing is one of the core techniques that enables modern data driven
computer systems. Database systems are uniquely positioned to use increasing hardware …