.: Call For Papers

The aim of this one-day workshop is to bring together researchers who are interested in optimizing database performance on modern computing infrastructure by designing new data management techniques and tools.


.: Topics of Interest

The continued evolution of computing hardware and infrastructure imposes new challenges and bottlenecks to program performance. As a result, traditional database architectures that focus solely on I/O optimization increasingly fail to utilize hardware resources efficiently. Multi-core CPUs, GPUs, new memory and storage technologies (such as flash and phase change memory), and low-power hardware imposes a great challenge to optimizing database performance. Consequently, exploiting the characteristics of modern hardware has become an important topic of database systems research.

The goal is to make database systems adapt automatically to the sophisticated hardware characteristics, thus maximizing performance transparently to applications. To achieve this goal, the data management community needs interdisciplinary collaboration with computer architecture, compiler, operating systems and storage researchers. This involves rethinking traditional data structures, query processing algorithms, and database software architectures to adapt to the advances in the underlying hardware infrastructure.

We seek submissions bridging the area of database systems to computer architecture, compilers, and operating systems. In particular, submissions covering topics from the following non-exclusive list are encouraged:

  • cost models and query optimization for novel hierarchical memory systems
  • hardware systems for query processing
  • data management using co-processors
  • novel application of new storage technologies (flash, PCM, etc.) to data management
  • query processing using computing power in storage systems
  • database architectures for low-power computing and embedded devices
  • database architectures on multi-threaded and chip multiprocessors
  • performance analysis of database workloads on modern hardware
  • compiler and operating systems advances to improve database performance
  • new benchmarks for microarchitectural evaluation of database workloads

.: Submission Tracks

We invite submissions for two tracks:

  1. Full papers: Full paper submissions should be 6 pages (citations do not count and can be beyond the 6 page limit). Full papers describe a complete work in the area of data management for new hardware. Accepted papers will be given 10 pages for the camera ready and a ~20 minute presentation slot during the workshop.
  2. Abstracts/Posters: Posters submissions should not exceed two pages including citations. Poster submissions describe very early stage works or summaries of mature systems. Posters will be given a 2-3 minutes talk slot during the workshop and a poster slot during lunch time. An abstract up to two pages will be included in the proceedings.