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  1. Proceedings of the 13th International Workshop on Data Management on New Hardware (DAMON '17)
  2. An analysis of LSM caching in NVRAM
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A methodology for OLTP micro-architectural analysis
An analysis of memory power consumption in database systems
Profiling a GPU database implementation: a holistic view of GPU resource utilization on TPC-H queries
Scaling column imprints using advanced vectorization
Deadlock-free joins in DB-mesh, an asynchronous systolic array accelerator
Big data causing big (TLB) problems: taming random memory accesses on the GPU
A PetriNet mechanism for OLAP in NUMA
Faster across the PCIe bus: a GPU library for lightweight decompression: including support for patched compression schemes
An analysis of LSM caching in NVRAM
SiliconDB: rethinking DBMSs for modern heterogeneous co-processor environments

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An analysis of LSM caching in NVRAM

Content Provider ACM Digital Library
Author Lehner, Wolfgang Lersch, Lucas Oukid, Ismail Schreter, Ivan
Abstract The rise of NVRAM technologies promises to change the way we think about system architectures. In order to fully exploit its advantages, it is required to develop systems specially tailored for NVRAM devices. Not only this imposes great challenges, but developing full system architectures from scratch is undesirable in many scenarios due to prohibitive development costs. Instead, we analyze in this paper the behavior of an existing log-structured persistent key-value store, namely LevelDB, when run on top of an emulated NVRAM device. We investigate initial opportunities for improvement when adapting a system tailored for HDD/SSDs to run on top of an NVRAM environment. Furthermore, we analyze the behavior of the legacy DRAM caching component of LevelDB and whether more suitable caching policies are required.
Starting Page 1
Ending Page 5
Page Count 5
File Format PDF
ISBN 9781450350259
DOI 10.1145/3076113.3076123
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-05-14
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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