| A Resistive CAM Processing-in-Storage Architecture for DNA Sequence Alignment R Kaplan, L Yavits, R Ginosar, U Weiser IEEE Micro 37 (4), 20 - 28, 2017 | 105 | 2017 |
| BioSEAL: In-memory biological sequence alignment accelerator for large-scale genomic data R Kaplan, L Yavits, R Ginosasr Proceedings of the 13th ACM International Systems and Storage Conference, 36-48, 2020 | 55 | 2020 |
| PRINS: Processing-in-Storage Acceleration of Machine Learning R Kaplan, L Yavits, R Ginosar IEEE Transactions on Nanotechnology, 2018 | 54 | 2018 |
| RASSA: resistive prealignment accelerator for approximate DNA long read mapping R Kaplan, L Yavits, R Ginosar IEEE Micro 39 (4), 44-54, 2018 | 40 | 2018 |
| GIRAF: General purpose in-storage resistive associative framework L Yavits, R Kaplan, R Ginosar IEEE Transactions on Parallel and Distributed Systems 33 (2), 276-287, 2021 | 34 | 2021 |
| From processing-in-memory to processing-in-storage R Kaplan, L Yavits, R Ginosar Supercomputing Frontiers and Innovations 4 (3), 99-116, 2017 | 10 | 2017 |
| Deduplication in resistive content addressable memory based solid state drive R Kaplan, L Yavits, A Morad, R Ginosar 2016 26th International Workshop on Power and Timing Modeling, Optimization …, 2016 | 9 | 2016 |
| Intel gaudi 3 ai accelerator: Architected for gen ai training and inference R Kaplan 2024 IEEE Hot Chips 36 Symposium (HCS), 1-16, 2024 | 5 | 2024 |
| PRINS: resistive CAM processing in storage L Yavits, R Kaplan, R Ginosar arXiv preprint arXiv:1805.09612, 2018 | 5 | 2018 |
| Distributed deep learning on wimpy smartphone nodes T Hemed, N Lavie, R Kaplan 2018 IEEE International Conference on the Science of Electrical Engineering …, 2018 | 3 | 2018 |
| Enabling full associativity with memristive address decoder L Yavits, R Kaplan, R Ginosar IEEE Micro 38 (5), 32-40, 2018 | 2 | 2018 |
| In-Data vs. Near-Data Processing: The Case for Processing in Resistive CAM L Yavits, R Kaplan, R Ginosar Technical Report, 2017 | 2 | 2017 |
| AIDA: Associative DNN inference accelerator L Yavits, R Kaplan, R Ginosar arXiv preprint arXiv:1901.04976, 2018 | 1 | 2018 |
| POSTER: BioSEAL: In-Memory Biological Sequence Alignment Accelerator for Large-Scale Genomic Data R Kaplan, L Yavits, R Ginosar 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | | 2019 |
| Student Research Poster: From Processing-in-Memory to Processing-in-Storage R Kaplan Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | | 2016 |
| ReCAM In-Storage Implementation of K-Means R Kaplan, L Yavits, R Ginosar | | |
| Accelerating DNA Long Read Mapping with Emerging Technologies R Kaplan Compare 4, 16, 0 | | |
| PhD Showcase: Accelerator Architectures for Machine Learning and Bioinformatics R Kaplan, L Yavits, R Ginosar | | |
| Processing-in-Storage Architecture for Machine Learning and Bioinformatics R Kaplan, L Yavits, R Ginosar | | |
| PACT: G: From Near-Data Processing to In-Data Processing-in-Storage R Kaplan | | |
Leonid YavitsBar Ilan UniversityOverená e-mailová adresa na: biu.ac.il