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However, higher energy consumption and lower efficiency restrict the commercial applications on large scale.
The MapReduce programming model helps programmers write distributed applications on large clusters, but requires dealing with complex implementation details (e.g., reasoning with data distribution and overall system configuration).
"Process-to-part" robotic machining using low-cost, off-the-shelf industrial robots is of interest for feature machining applications on large components where mounting on conventional machine tools is costly and presents a health and safety risk.
This paper introduces a novel method of acoustic emission (AE) analysis which is particularly suited for field applications on large plate-like reinforced concrete structures, such as walls and bridge decks.
This enables its applications on large problem instances.
Its software products optimize the performance of hardware and software in mission-critical applications on large corporate networks.
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In this paper, we propose a usable building block framework to build parallel applications on large-scale Cartesian data structures.
Moreover, prevailing approaches to resource control in Java require substantial support from native code libraries, which is a serious disadvantage with respect to portability, since it prevents the deployment of applications on large-scale heterogeneous networks.
Users spend more time in more applications on larger screened hardware.
We've seen a few other green social networks, and while their goals are certainly admirable, they usually seem like a better fit as social network applications on larger networks like Facebook or MySpace.
However, the low computational efficiency limits its applications on large-scale cancer omics dataset.
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