Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond

Author:

Kim Jin Hyun,Kang Shin-haeng,Lee Sukhan,Kim Hyeonsu,Song Woongjae,Ro Yuhwan,Lee Seungwon,Wang David,Shin Hyunsung,Phuah Bengseng,Choi Jihyun,So Jinin,Cho YeonGon,Song JoonHo,Choi Jangseok,Cho Jeonghyeon,Sohn Kyomin,Sohn Youngsoo,Park Kwangil,Kim Nam Sung

Publisher

IEEE

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Survey of Deep Learning Accelerators for Edge and Emerging Computing;Electronics;2024-07-29

2. A DRAM-based Near-Memory Architecture for Accelerated and Energy-Efficient Execution of Transformers;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

3. NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27

4. SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27

5. Scalability Limitations of Processing-in-Memory using Real System Evaluations;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2024-02-16

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