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13. DaMoN 2017: Chicago, IL, USA

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Proceedings of the 13th International Workshop on Data Management on New Hardware, DaMoN 2017, Chicago, IL, USA, May 15, 2017. ACM 2017, ISBN 978-1-4503-5025-9
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Utku Sirin, Ahmad Yasin, Anastasia Ailamaki:
A methodology for OLTP micro-architectural analysis. 1:1-1:10
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Alexey Karyakin, Kenneth Salem:
An analysis of memory power consumption in database systems. 2:1-2:9
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Emily Furst, Mark Oskin, Bill Howe:
Profiling a GPU database implementation: a holistic view of GPU resource utilization on TPC-H queries. 3:1-3:6
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Lefteris Sidirourgos, Hannes Mühleisen:
Scaling column imprints using advanced vectorization. 4:1-4:8
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Bingyi Cao, Kenneth A. Ross, Stephen A. Edwards, Martha A. Kim:
Deadlock-free joins in DB-mesh, an asynchronous systolic array accelerator. 5:1-5:8
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Tomas Karnagel, Tal Ben-Nun, Matthias Werner, Dirk Habich, Wolfgang Lehner:
Big data causing big (TLB) problems: taming random memory accesses on the GPU. 6:1-6:10
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Simone Dominico, Eduardo Cunha de Almeida, Jorge Augusto Meira:
A PetriNet mechanism for OLAP in NUMA. 7:1-7:4
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Eyal Rozenberg, Peter A. Boncz:
Faster across the PCIe bus: a GPU library for lightweight decompression: including support for patched compression schemes. 8:1-8:5
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Lucas Lersch, Ismail Oukid, Wolfgang Lehner, Ivan Schreter:
An analysis of LSM caching in NVRAM. 9:1-9:5
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Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Robert Petrocelli:
SiliconDB: rethinking DBMSs for modern heterogeneous co-processor environments. 10:1-10:4

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