Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation-Reference-Cited by-同舟云学术

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Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation

Published:2021-04-07 Issue: Volume: Page:
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Container-title:2021 22nd International Symposium on Quality Electronic Design (ISQED)
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Author:

Srinivasa Srivatsa,Ramanathan Akshay Krishna,Sundaram Jainaveen,Kurian Dileep,Gopal Srinivasan,Jain Nilesh,Srinivasan Anuradha,Iyer Ravi,Narayanan Vijaykrishnan,Karnik Tanay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9424228/9424248/09424263.pdf?arnumber=9424263

Cited by 4 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. A Hardware Instruction Generation Mechanism for Energy-Efficient Computational Memories;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication;2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC);2023-10-16

3. Overflow-free Compute Memories for Edge AI Acceleration;ACM Transactions on Embedded Computing Systems;2023-09-09

4. DIMC: 2219TOPS/W 2569F2/b Digital In-Memory Computing Macro in 28nm Based on Approximate Arithmetic Hardware;2022 IEEE International Solid- State Circuits Conference (ISSCC);2022-02-20

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