posted by system || 1098 views || tracked by 8 users: [display]

DaMoN 2014 : Tenth International Workshop on Data Management on New Hardware


Conference Series : Data Management on New Hardware
When Jun 23, 2014 - Jun 23, 2014
Where Snowbird, Utah, USA
Submission Deadline Mar 24, 2014
Categories    databases

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 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 passing maximum performance to applications in transparent fashion. 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
novel application of new storage technologies (flash, PCM, etc.) to data management
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

Related Resources

CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
ICIEM 2016   International Conference on Integrated Environmental Management for Sustainable Development
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
IJE 2016   International Journal of Education
DASFAA 2017   The 22nd International Conference on Database Systems for Advanced Applications
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICKE 2017   2017 3rd International Conference on Knowledge Engineering (ICKE 2017)
AKM 2017   Call for Book Chapters: Analytics and Knowledge Management (Taylor & Francis Group)
Elsevier JOCS NCP&BD 2017   Elsevier Journal of Computational Science (SCI IF=1.078) Special Issue on The Convergence of New Computing Paradigms and Big Data Analytics Methodologies for Online Social Networks
ICBDA 2017   The 2017 IEEE International Conference on Big Data Analysis (ICBDA 2017) - Ei Compendex