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An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models., , , , , , , , , and 8 other author(s). HPCA, page 970-982. IEEE, (2024)The Breakthrough Memory Solutions for Improved Performance on LLM Inference., , , , , , , , , and 13 other author(s). IEEE Micro, 44 (3): 40-48 (May 2024)Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond., , , , , , , , , and 10 other author(s). HCS, page 1-26. IEEE, (2021)Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM., , , , , , , , , and 10 other author(s). IEEE Micro, 42 (1): 116-127 (2022)Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster., , , , , , , , , and 11 other author(s). HCS, page 1-31. IEEE, (2023)SMT: Software-Defined Memory Tiering for Heterogeneous Computing Systems With CXL Memory Expander., , , , , , , and . IEEE Micro, 43 (2): 20-29 (March 2023)Industry's First 7.2 Gbps 512GB DDR5 Module., , , , , , , , , and 13 other author(s). HCS, page 1-11. IEEE, (2021)Improving In-Memory Database Operations with Acceleration DIMM (AxDIMM)., , , , , , , , , and 2 other author(s). DaMoN, page 2:1-2:9. ACM, (2022)