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Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses., , , , , , , , and . ISCA, page 36:1-36:16. ACM, (2023)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)MetaStore: High-Performance Metagenomic Analysis via In-Storage Computing., , , , , , , , , and 2 other author(s). CoRR, (2023)LerGAN: A Zero-Free, Low Data Movement and PIM-Based GAN Architecture., , , , and . MICRO, page 669-681. IEEE Computer Society, (2018)GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping., , , , , , , , and . MICRO, page 710-726. IEEE, (2022)No Compromises: Secure NVM with Crash Consistency, Write-Efficiency and High-Performance., , , , and . DAC, page 31. ACM, (2019)Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors., , , , , , , , and . MICRO, page 1437-1452. ACM, (2023)MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing., , , , , , , , , and 2 other author(s). ISCA, page 660-677. IEEE, (2024)Exploring data placement in racetrack memory based scratchpad memory., , , and . NVMSA, page 1-5. IEEE, (2015)GenStore: a high-performance in-storage processing system for genome sequence analysis., , , , , , , , , and 4 other author(s). ASPLOS, page 635-654. ACM, (2022)