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FPGA-based Near-Memory Acceleration of Modern Data-Intensive Applications., , , , , , and . CoRR, (2021)GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis., , , , , , , , , and 4 other author(s). ISVLSI, page 283-287. IEEE, (2022)SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors., , , , , , and . ISCA, page 227-240. IEEE, (2020)ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis., , , , , , , , , and 3 other author(s). ACM Trans. Archit. Code Optim., 21 (1): 19:1-19:29 (March 2024)AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes., , , , , , , and . CoRR, (2019)Exploiting Near-Data Processing to Accelerate Time Series Analysis., , , , , , , and . ISVLSI, page 279-282. IEEE, (2022)GenStore: a high-performance in-storage processing system for genome sequence analysis., , , , , , , , , and 4 other author(s). ASPLOS, page 635-654. ACM, (2022)IChannels: Exploiting Current Management Mechanisms to Create Covert Channels in Modern Processors., , , , , , , and . ISCA, page 985-998. IEEE, (2021)A framework for high-throughput sequence alignment using real processing-in-memory systems., , , , , and . Bioinform., (May 2023)GRIM-Filter: Fast Seed Location Filtering in DNA Read Mapping Using Processing-in-Memory Technologies., , , , , , , , , and . CoRR, (2017)