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Evaluating SIMD Compiler-Intrinsics for Database Systems

Modern query engines often use SIMD instructions to speed up query performance. As these instructions are heavily CPU-specific, …

Lawrence Benson, Richard Ebeling, Tilmann Rabl

Analyzing Vectorized Hash Tables Across CPU Architectures

Data processing systems often leverage vector instructions to achieve higher performance.When applying vector instructions, an often …

Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl

PerMA-Bench: Benchmarking Persistent Memory Access

Persistent memory’s (PMem) byte-addressability and persistence at DRAM-like speed with SSD-like capacity have the potential to …

Lawrence Benson, Leon Papke, Tilmann Rabl

Darwin: Scale-In Stream Processing

Companies increasingly rely on stream processing engines (SPEs) to quickly analyze data and monitor infrastructure. These systems …

Lawrence Benson, Tilmann Rabl

Viper: An Efficient Hybrid PMem-DRAM Key-Value Store

Key-value stores (KVSs) have found wide application in modern software systems. For persistence, their data resides in slow secondary …

Lawrence Benson, Hendrik Makait, Tilmann Rabl

Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads

Modern database systems for online analytical processing (OLAP) typically rely on in-memory processing. Keeping all active data in DRAM …

Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl

Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs

Solid-state drives (SSDs) have improved database system performance significantly due to the higher bandwidth that they provide over …

Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl

Disco: Efficient Distributed Window Aggregation

Many business applications benefit from fast analysis of online data streams. Modern stream processing engines (SPEs) provide complex …

Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl