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Employing classification-based algorithms for general-purpose approximate computing.

, , , , и . DAC, стр. 70:1-70:6. ACM, (2018)

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Geraldo Souza Dias

Cláudio Geraldo Schön

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Employing classification-based algorithms for general-purpose approximate computing., , , , и . DAC, стр. 70:1-70:6. ACM, (2018)Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures., , , и . ISVLSI, стр. 261-266. IEEE, (2022)HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes., , и . MICRO, стр. 623-640. ACM, (2021)PUMA: Efficient and Low-Cost Memory Allocation and Alignment Support for Processing-Using-Memory Architectures., , , и . CoRR, (2024)DaPPA: A Data-Parallel Framework for Processing-in-Memory Architectures., , , , и . CoRR, (2023)ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation., , , , , , , , и . USENIX Security Symposium, USENIX Association, (2024)SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM., , , , , , , , , и . CoRR, (2020)SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM., , , , , , , , , и . CoRR, (2021)ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems., , , , , , , , , и . IEEE Trans. Emerg. Top. Comput., 11 (2): 388-403 (апреля 2023)Polynesia: Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Co-Design., , , и . ICDE, стр. 2997-3011. IEEE, (2022)