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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 FPGA-based RNN-T Inference Accelerator with PIM-HBM., , , , , , and . FPGA, page 146-152. ACM, (2022)The Breakthrough Memory Solutions for Improved Performance on LLM Inference., , , , , , , , , and 13 other author(s). IEEE Micro, 44 (3): 40-48 (May 2024)An Architecture of Sparse Length Sum Accelerator in AxDIMM., , , and . AICAS, page 1-4. IEEE, (2022)Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product., , , , , , , , , and 6 other author(s). ISCA, page 43-56. IEEE, (2021)MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs., , , , , , , , , and 1 other author(s). FCCM, page 162-172. IEEE, (2024)25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications., , , , , , , , , and 20 other author(s). ISSCC, page 350-352. IEEE, (2021)Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster., , , , , , , , , and 11 other author(s). HCS, page 1-31. IEEE, (2023)Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM., , , , , , , , , and 10 other author(s). IEEE Micro, 42 (1): 116-127 (2022)