- Jun 24, 2008: The powerpoint slides
of Prof. Keshav Pingali's keynote talk is put online.
-Jun 13, 2008: The workshop is in Salon A. Breakfast is provided at 8-8:30 and lunch 12-13:15.
- Jun 12, 2008: Electronic proceedings is online. You can also check out individual papers under Accepted Papers.
- Jun 6, 2008: Keynote talk information is available.
- Jun 1, 2008: Workshop program is posted.
- May 10, 2008: Prof. Keshav Pingali will give a keynote talk at DaMoN'08.
- May 3, 2008: Accepted papers are announced and camera-ready instructions are provided.
- Apr 8, 2008: Submission instructions are updated to allow the inclusion of a clearly marked appendix beyond the 6 pages of submission.
- Nov 27, 2007: The web site is up.
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.
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. CPUs with superscalar out-of-order execution, simultaneous multi-threading, multi-level memory hierarchies, and future storage hardware (such as MEMS) impose 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 and operating systems 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
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
database performance analysis, algorithms, and data structures on modern hardware
databases and transactional memory systems
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