Now showing items 1-2 of 2
Fighting the Duplicates in Hashing: Conflict Detection-aware Vectorization of Linear Probing
Hash tables are a core data structure in database systems, because they are fundamental for many database operators like hash-based join and aggregation. In recent years, the efficient vectorized implementation using SIMD (Single Instruction Multiple Data) instructions has attracted a lot of attention. Generally, all ...
NeMeSys – Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systems
NeMeSys is a NUMA-aware graph pattern processing engine, which leverages intelligent resource management for energy adaptive processing. With modern server systems incorporating an increasing amount of main memory, we can store graphs and compute analytical graph algorithms like graph pattern matching completely in-memory. ...