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DaMoN '12: Proceedings of the Eighth International Workshop on Data Management on New Hardware
ACM2012 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGMOD/PODS '12: International Conference on Management of Data Scottsdale Arizona 21 May 2012
ISBN:
978-1-4503-1445-9
Published:
21 May 2012
Sponsors:
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Abstract

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.

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research-article
A comparison of the use of virtual versus physical snapshots for supporting update-intensive workloads

Deployments of networked sensors fuel online applications that feed on real-time sensor data. This scenario calls for techniques that support the management of workloads that contain queries as well as very frequent updates. This paper compares two well-...

research-article
Reducing OLTP instruction misses with thread migration

During an instruction miss a processor is unable to fetch instructions. The more frequent instruction misses are the less able a modern processor is to find useful work to do and thus performance suffers. Online transaction processing (OLTP) suffers ...

research-article
KISS-Tree: smart latch-free in-memory indexing on modern architectures

Growing main memory capacities and an increasing number of hardware threads in modern server systems led to fundamental changes in database architectures. Most importantly, query processing is nowadays performed on data that is often completely stored ...

research-article
Making cost-based query optimization asymmetry-aware

The architecture and algorithms of database systems have been built around the properties of existing hardware technologies. Many such elementary design assumptions are 20--30 years old. Over the last five years we witness multiple new I/O technologies (...

research-article
Hathi: durable transactions for memory using flash

Recent architectural trends---cheap, fast solid-state storage, inexpensive DRAM, and multi-core CPUs---provide an opportunity to rethink the interface between applications and persistent storage. To leverage these advances, we propose a new system ...

research-article
Ameliorating memory contention of OLAP operators on GPU processors

Implementations of database operators on GPU processors have shown dramatic performance improvement compared to multicore-CPU implementations. GPU threads can cooperate using shared memory, which is organized in interleaved banks and is fast only when ...

research-article
X-device query processing by bitwise distribution

The diversity of hardware components within a single system calls for strategies for efficient cross-device data processing. For example, existing approaches to CPU/GPU co-processing distribute individual relational operators to the "most appropriate" ...

research-article
GPU join processing revisited

Until recently, the use of graphics processing units (GPUs) for query processing was limited by the amount of memory on the graphics card, a few gigabytes at best. Moreover, input tables had to be copied to GPU memory before they could be processed, and ...

research-article
GiST scan acceleration using coprocessors

Efficient lookups in huge, possibly multi-dimensional datasets are crucial for the performance of numerous use cases that generate multiple search operations at the same time, like point queries in ray tracing or spatial joins in collision detection of ...

Contributors
  • HP Labs

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Acceptance Rates

Overall Acceptance Rate 94 of 127 submissions, 74%
YearSubmittedAcceptedRate
DaMoN '24251456%
DaMoN '23231774%
DaMoN '22181267%
DAMON '21171588%
DaMoN '20221882%
DaMoN'15161275%
DaMoN '0666100%
Overall1279474%