UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space

Author:

Zhao Yilong1,Gao Mingyu2,Liu Fangxin1,Hu Yiwei3,Wang Zongwu1,Lin Han4,Li Ji4,Xian He5,Dong Hanlin5,Yang Tao2,Jing Naifeng2,Liang Xiaoyao2,Jiang Li6

Affiliation:

1. Shanghai Jiao Tong University Shanghai Qi Zhi Institute

2. Tsinghua University Shanghai Qi Zhi Institute

3. Shanghai Jiao Tong University

4. Huawei Technologies Co. Ltd.

5. Shanghai Qi Zhi Institute

6. Shanghai Jiao Tong University Shanghai Qi Zhi Institute Huawei Technologies Co. Ltd.

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference72 articles.

1. Co-ML: a case for Co llaborative ML acceleration using near-data processing

2. OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training

3. CACTI 7

4. The GAP benchmark suite;Beamer;CoRR,2015

5. Conda: Efficient cache coherence support for near-data accelerators;Boroumand

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