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GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis.

, , , , , , , , , , , , , и . ISVLSI, стр. 283-287. IEEE, (2022)

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Yiqin Mao

Ning-hui Mao

Tongsheng Mao

Lei Mao

Zhengrong Mao

 

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Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses., , , , , , , , и . ISCA, стр. 36:1-36:16. ACM, (2023)GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis., , , , , , , , , и 4 other автор(ы). ISVLSI, стр. 283-287. IEEE, (2022)MetaStore: High-Performance Metagenomic Analysis via In-Storage Computing., , , , , , , , , и 2 other автор(ы). CoRR, (2023)LerGAN: A Zero-Free, Low Data Movement and PIM-Based GAN Architecture., , , , и . MICRO, стр. 669-681. IEEE Computer Society, (2018)GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping., , , , , , , , и . MICRO, стр. 710-726. IEEE, (2022)No Compromises: Secure NVM with Crash Consistency, Write-Efficiency and High-Performance., , , , и . DAC, стр. 31. ACM, (2019)Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors., , , , , , , , и . MICRO, стр. 1437-1452. ACM, (2023)MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing., , , , , , , , , и 2 other автор(ы). CoRR, (2024)LrGAN: A Compact and Energy Efficient PIM-Based Architecture for GAN Training., , , и . IEEE Trans. Computers, 70 (9): 1427-1442 (2021)Exploring data placement in racetrack memory based scratchpad memory., , , и . NVMSA, стр. 1-5. IEEE, (2015)