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Machine learning in resource-scarce embedded systems, FPGAs, and end-devices: A survey
The number of devices connected to the Internet is increasing, exchanging large amounts of
data, and turning the Internet into the 21st-century silk road for data. This road has taken …
data, and turning the Internet into the 21st-century silk road for data. This road has taken …
In-memory big data management and processing: A survey
Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …
Efficiently compiling efficient query plans for modern hardware
T Neumann - Proceedings of the VLDB Endowment, 2011 - dl.acm.org
As main memory grows, query performance is more and more determined by the raw CPU
costs of query processing itself. The classical iterator style query processing technique is …
costs of query processing itself. The classical iterator style query processing technique is …
Rethinking SIMD vectorization for in-memory databases
Analytical databases are continuously adapting to the underlying hardware in order to
saturate all sources of parallelism. At the same time, hardware evolves in multiple directions …
saturate all sources of parallelism. At the same time, hardware evolves in multiple directions …
A survey of machine learning-based system performance optimization techniques
H Choi, S Park - Applied Sciences, 2021 - mdpi.com
Recently, the machine learning research trend expands to the system performance
optimization field, where it has still been proposed by researchers based on their intuitions …
optimization field, where it has still been proposed by researchers based on their intuitions …
Sorting networks on FPGAs
Computer architectures are quickly changing toward heterogeneous many-core systems.
Such a trend opens up interesting opportunities but also raises immense challenges since …
Such a trend opens up interesting opportunities but also raises immense challenges since …
A study of the fundamental performance characteristics of GPUs and CPUs for database analytics
There has been significant amount of excitement and recent work on GPU-based database
systems. Previous work has claimed that these systems can perform orders of magnitude …
systems. Previous work has claimed that these systems can perform orders of magnitude …
Bridging the archipelago between row-stores and column-stores for hybrid workloads
Data-intensive applications seek to obtain trill insights in real-time by analyzing a
combination of historical data sets alongside recently collected data. This means that to …
combination of historical data sets alongside recently collected data. This means that to …
H2O: a hands-free adaptive store
Modern state-of-the-art database systems are designed around a single data storage layout.
This is a fixed decision that drives the whole architectural design of a database system, ie …
This is a fixed decision that drives the whole architectural design of a database system, ie …
Cxl and the return of scale-up database engines
The trend toward specialized processing devices such as TPUs, DPUs, GPUs, and FPGAs
has exposed the weaknesses of PCIe in interconnecting these devices and their hosts …
has exposed the weaknesses of PCIe in interconnecting these devices and their hosts …