The rapidly accumulating biological data generated by next-generation sequencer motivate the development of improved tools for sequence alignment. Many technologies have been proposed for this purpose, and one of them...
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ISBN:
(纸本)9789898565358
The rapidly accumulating biological data generated by next-generation sequencer motivate the development of improved tools for sequence alignment. Many technologies have been proposed for this purpose, and one of them is GPU computing. Existing acceleration of sequence aligners using GPU computing overemphasize speed. However, other factors such as accuracy, performance per watt, price-performance and programming complexity are also important and need to be considered. Based on the existing literatures of GPU-based sequence aligners, this paper gives a literature evaluation of these sequence aligners from the above perspectives, in order to determine the usability of the tremendous GPU-based sequence aligners.
Laser fusing is a standard technique for improving yield with memory reconfiguration and repair, but implementing fusing in production can be challenging and costly. This article introduces an electrically programmabl...
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Laser fusing is a standard technique for improving yield with memory reconfiguration and repair, but implementing fusing in production can be challenging and costly. This article introduces an electrically programmable polysilicon fuse and shows how it can reduce fuse area and programming complexity.
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