13 results on '"Jhang, Chuan-Jia"'
Search Results
2. Challenges in Circuits of Nonvolatile Compute-In-Memory for Edge AI Chips
3. A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips
4. A Nonvolatile AI-Edge Processor With SLC–MLC Hybrid ReRAM Compute-in-Memory Macro Using Current–Voltage-Hybrid Readout Scheme
5. A Nonvolatile Al-Edge Processor with 4MB SLC-MLC Hybrid-Mode ReRAM Compute-in-Memory Macro and 51.4-251TOPS/W
6. A Nonvolatile AI-Edge Processor With SLC–MLC Hybrid ReRAM Compute-in-Memory Macro Using Current–Voltage-Hybrid Readout Scheme
7. A 40-nm, 2M-Cell, 8b-Precision, Hybrid SLC-MLC PCM Computing-in-Memory Macro with 20.5 - 65.0TOPS/W for Tiny-Al Edge Devices
8. Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices
9. Challenges of Computation-in-Memory Circuits for AI Edge Applications
10. 16.1 A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices
11. Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge Devices
12. A Relaxed Quantization Training Method for Hardware Limitations of Resistive Random Access Memory (ReRAM)-Based Computing-in-Memory
13. Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.