16 citations · 51 across the 20 of their papers we have counts for
4 papers · 1 filter
Efficient Multiway Hash Join on Reconfigurable Hardware
Kunle Olukotun, Raghu Prabhakar, Rekha Singhal +2
We propose the algorithms for performing multiway joins using a new type of coarse grain reconfigurable hardware accelerator~-- ``Plasticine''~-- that, compared with other accelera…
LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case
Christopher R. Aberger, Andrew Lamb, Kunle Olukotun +1
Pipelines combining SQL-style business intelligence (BI) queries and linear algebra (LA) are becoming increasingly common in industry. As a result, there is a growing need to unify…
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark
Grégory M. Essertel, Ruby Y. Tahboub, James M. Decker +3
The need for modern data analytics to combine relational, procedural, and map-reduce-style functional processing is widely recognized. State-of-the-art systems like Spark have adde…
Old Techniques for New Join Algorithms: A Case Study in RDF Processing
Christopher R. Aberger, Susan Tu, Kunle Olukotun +1
Recently there has been significant interest around designing specialized RDF engines, as traditional query processing mechanisms incur orders of magnitude performance gaps on many…