DaMoN: Data Management on New Hardware

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
DaMoN 2024 20th International Workshop on Data Management on New Hardware
Jun 10, 2024 - Jun 10, 2024 Santiago, Chile Mar 15, 2024
DaMoN 2014 Tenth International Workshop on Data Management on New Hardware
Jun 23, 2014 - Jun 23, 2014 Snowbird, Utah, USA Mar 24, 2014
DaMoN 2013 Ninth International Workshop on Data Management on New Hardware
Jun 24, 2013 - Jun 24, 2013 New York, NY, USA Mar 21, 2013 (Mar 14, 2013)
DaMoN 2011 Seventh International Workshop on Data Management on New Hardware
Jun 13, 2011 - Jun 13, 2011 Athens, Greece Mar 30, 2011
DaMoN 2010 Sixth International Workshop on Data Management on New Hardware
Jun 7, 2010 - Jun 7, 2010 Indianapolis, Indiana, USA Mar 29, 2010
DaMoN 2009 Fifth International Workshop on Data Management on New Hardware
Jun 28, 2009 - Jun 28, 2009 Providence, Rhode Island, USA Apr 17, 2009
 
 

Present CFP : 2024

The focus of this workshop is to strengthen the communication between the database community and broader computer systems communities, specifically the computer architecture, compiler, operating systems, and storage communities. As all of these fields evolve independently, database software has proven to under-utilize the underlying hardware technology.

In the last two decades, DaMoN has established itself as the primary venue for researchers to exchange information, learn from each other, and improve the interaction between the database software and the underlying hardware and devices, as well as discovering and understanding hardware trends and building strong data management systems for the future.

This workshop aims at researchers from both data management, computer architecture, and storage systems who are interested in optimizing database performance on modern computing infrastructure by designing new data management techniques and tools.

Submission site is now open: https://cmt3.research.microsoft.com/DaMoN2024

Held with ACM SIGMOD/PODS 2024 in Santiago, Chile
https://2024.sigmod.org/

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, FPGAs, new memory and storage technologies (such as flash and non-volatile 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:

database algorithms and data structures on modern hardware

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 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 micro-architectural evaluation of database workloads

taking advantage of modern network capabilities for data processing

hardware/software co-design for modern data-intensive workloads (e.g., machine learning, graph analytics)

Submission Tracks
We invite submissions to two tracks:

1) Full Papers: A full paper must be no longer than 6 pages excluding the bibliography. There is no limit on the length of the bibliography. Full papers describe a complete work in the area of data management for new hardware. Accepted papers will be given 10 pages (plus bibliography) for the camera-ready version and a long presentation slot during the workshop.

2) Short Papers: Short papers must not exceed 2 pages excluding the bibliography. Short papers describe very early stage works or summaries of mature systems. Short papers will be included in the proceedings, given 4 pages (plus bibliography) for the camera-ready version, and may be given a short presentation slot during the workshop.

All accepted papers (full and short) will also be presented as posters during a workshop poster session.

 

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