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METHODS OF SCALING COMPUTATIONAL GENOMICS WITH SPECIALIZED ARCHITECTURES FOR HIGHLY PARALLELIZED COMPUTATIONS AND USES THEREOF

机译:用于高度并行计算的具有特殊结构的计算基因组学缩放方法及其应用

摘要

The disclosure relates to methods for increasing the speed and efficiency of computational genomics. In particular, the disclosure relates to methods of scaling computational genomics by using one or more specialized architectures for highly parallelized computations, such as graphics processing units (GPUs), tensor processing units (TPUs), and field programmable gate arrays (FPGAs), and the like, to compute the computational genomics calculations.
机译:本公开涉及用于提高计算基因组学的速度和效率的方法。具体而言,本公开涉及通过使用一种或多种用于高度并行化计算的专用架构来缩放计算基因组学的方法,所述高度并行化的计算诸如图形处理单元(GPU),张量处理单元(TPU)和现场可编程门阵列(FPGA),以及等,以计算计算基因组学计算。

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