Semiconductor Architectures Enable Compute in Memory

Author:

Handy Jim1,Coughlin Tom2ORCID

Affiliation:

1. Objective Analysis, Los Gatos, USA

2. Coughlin Associates, Inc., San Jose, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Reference12 articles.

1. 16.5 DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching

2. CTLE-Ising: A 1440-spin continuous-time latch-based Ising machine with one-shot fully-parallel spin updates featuring equalization of spin states;bae;Int Solid-State Circuits Conf,0

3. A 22nm 8Mb 46.4-160.1-TOPS/W STT-MRAM near-memory-computing macro with 8b precision for AI-edge devices;chiu;Int Solid-State Circuits Conf,0

4. A nonvolatile AI-edge processor with 4MB SLC-MLC hybrid-mode ReRAM compute-in-memory macro and 51.4-251TOPS/W;huang;Int Solid-State Circuits Conf,0

5. 16.4 TensorCIM: A 28nm 3.7nJ/Gather and 8.3TFLOPS/W FP32 Digital-CIM Tensor Processor for MCM-CIM-Based Beyond-NN Acceleration

Cited by 1 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 Performance-driven Neural Network Compiler for Multi-core Computing-In-Memory Accelerator;2023 IEEE 15th International Conference on ASIC (ASICON);2023-10-24

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