A High-Throughput Pruning-Based Pair-Hidden-Markov-Model Hardware Accelerator for Next-Generation DNA Sequencing

We present the first ASIC accelerator for a pair-hidden-Markov-model (Pair-HMM) in DNA variant calling, which conventionally requires ~250T FLOPs per sequenced human genome. Using a hardware-algorithm co-design, we opportunistically replace floating point (FP) multiplication with 20-b log-domain addition while employing bound checks to maintain (provable) correct results in downstream processing. FP computation is reduced by 43× on real human genome data. Implemented in a 40-nm CMOS, the 5.67 mm
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accelerator demonstrates 17.3G cell updates per second (CUPS) throughput, marking a 6.6× improvement over our baseline ASIC implementation and 355× GCUPS/mm
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improvement over an FPGA implementation [2].