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ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis., , , , , , , , , and 3 other author(s). CoRR, (2022)SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping., , , , , , , , , and 8 other author(s). ISCA, page 638-655. ACM, (2022)Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration., , , , , , , and . MICRO, page 88-101. IEEE, (2020)Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power., , , , , , , , , and 3 other author(s). DATE, page 960-963. IEEE, (2019)GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis., , , , , , , , , and 6 other author(s). MICRO, page 951-966. IEEE, (2020)Well Separated Pair Decomposition and power weighted shortest path metric algorithm fusion., and . CoRR, (2021)ONT-X: An FPGA Approach to Real-time Portable Genomic Analysis., , , , , and . FCCM, page 268-269. IEEE, (2021)PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks., , , , , , and . DATE, page 180-185. IEEE, (2020)AccSS3D: Accelerator for Spatially Sparse 3D DNNs., , , , , , , , and . CoRR, (2020)Compute-In-Memory Using 6T SRAM for a Wide Variety of Workloads., , , , , , and . ISCAS, page 2963-2967. IEEE, (2022)