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Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer.

, , , , , , , , , , , , , and . IEEE Micro, 42 (3): 20-30 (2022)

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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)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)Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer., , , , , , , , , and 4 other author(s). IEEE Micro, 42 (3): 20-30 (2022)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)Improving In-Memory Database Operations with Acceleration DIMM (AxDIMM)., , , , , , , , , and 2 other author(s). DaMoN, page 2:1-2:9. ACM, (2022)Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators., , , , , , , , and . ISOCC, page 413-414. IEEE, (2021)