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Data collection trees are the simplest means of improving scalability over fully centralised systems.
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HBlast presents improved scalability over existing solutions and well balanced computational work load while keeping database segmentation and recompilation to a minimum.
The development of novel, scalable workload-driven data partitioning is a requirement for improving scalability.
Data partitioning is a commonly used technique for improving scalability.
Spin-transfer-torque (STT) switching in magnetic-tunnel-junction (MTJ) has important merits over the conventional field induced magnetic switching (FIMS MRAMM in avoiding half-select problem, and improving scalability and selectivity.
Multi-user MIMO is preferred over Point-to-Point MIMO to achieve improved scalability and simplify UE design.
VLAD has improved scalability.
Over time, we have made a concerted effort to maintain and even improve scalability for multi-physics problems.
Akari project focuses on distributed control to improve scalability.
Although componentized implementation improves scalability, our framework requires an application to follow a service-oriented architecture.
The P2P architecture of Laribus improves scalability and provides blocking-resistance.
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