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OCTO+: Optimized Checkpointing of B+ Trees for Non-Volatile Main Memory Wear-Leveling., , , , and . NVMSA, page 1-6. IEEE, (2021)Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications., , , , , , , , , and 6 other author(s). CASES, page 11-20. ACM/IEEE, (2023)Language-Based Deployment Optimization for Random Forests (Invited Paper)., , , , , and . LCTES, page 58-61. ACM, (2024)Towards Data-Based Cache Optimization of B+-Trees., , , , and . DaMoN, page 63-69. ACM, (2023)Split'n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing., , , , , , , and . NVMSA, page 1-6. IEEE, (2020)Software exploitation of traditional interfaces for modern technologies.. Technical University of Dortmund, Germany, (2024)FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference., , and . CoRR, (2022)SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory., , , , , , , and . CoRR, (2020)Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests., , and . ECML/PKDD (5), volume 13717 of Lecture Notes in Computer Science, page 531-546. Springer, (2022)Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance., , , , , , , , and . DATE, page 673-678. IEEE, (2021)