Xin Si
Orcid: 0000-0002-4993-0087
According to our database1,
Xin Si
authored at least 46 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Toggle Rate Aware Quantization Model Based on Digital Floating-Point Computing-In-Memory Architecture.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2024
An INT8 Charge-Digital Hybrid Compute-In-Memory Macro With CNN-Friendly Shift-Feed Register Design.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
14.2 Proactive Voltage Droop Mitigation Using Dual-Proportional-Derivative Control Based on Current and Voltage Prediction Applied to a Multicore Processor in 28nm CMOS.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
34.3 A 22nm 64kb Lightning-Like Hybrid Computing-in-Memory Macro with a Compressed Adder Tree and Analog-Storage Quantizers for Transformer and CNNs.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
A 28nm 16kb Aggregation and Combination Computing-in-Memory Macro with Dual-level Sparsity Modulation and Sparse-Tracking ADCs for GCNs.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024
2023
From macro to microarchitecture: reviews and trends of SRAM-based compute-in-memory circuits.
Sci. China Inf. Sci., October, 2023
IEEE Trans. Circuits Syst. II Express Briefs, March, 2023
A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips.
IEEE J. Solid State Circuits, March, 2023
TT@CIM: A Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity Optimization and Variable Precision Quantization.
IEEE J. Solid State Circuits, March, 2023
Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023
A 28nm Horizontal-Weight-Shift and Vertical-feature-Shift-Based Separate-WL 6T-SRAM Computation-in-Memory Unit-Macro for Edge Depthwise Neural-Networks.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
A 28nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-Point-Computing-Unit and Double-Bit 6T-SRAM Computing-in-Memory Macro for Floating-Point CNNs.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
A 28nm 2Mb STT-MRAM Computing-in-Memory Macro with a Refined Bit-Cell and 22.4 - 41.5TOPS/W for AI Inference.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
2022
VCCIM: a voltage coupling based computing-in-memory architecture in 28 nm for edge AI applications.
CCF Trans. High Perform. Comput., December, 2022
STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse.
IEEE J. Solid State Circuits, 2022
Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips.
IEEE J. Solid State Circuits, 2022
A Charge-Digital Hybrid Compute-In-Memory Macro with full precision 8-bit Multiply-Accumulation for Edge Computing Devices.
Proceedings of the 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2022
SNNIM: A 10T-SRAM based Spiking-Neural-Network-In-Memory architecture with capacitance computation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
ShareFloat CIM: A Compute-In-Memory Architecture with Floating-Point Multiply-and-Accumulate Operations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022
2021
Efficient and Robust Nonvolatile Computing-In-Memory Based on Voltage Division in 2T2R RRAM With Input-Dependent Sensing Control.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
A Local Computing Cell and 6T SRAM-Based Computing-in-Memory Macro With 8-b MAC Operation for Edge AI Chips.
IEEE J. Solid State Circuits, 2021
Design Challenges and Methodology of High-Performance SRAM-Based Compute-in-Memory for AI Edge Devices.
Proceedings of the International Conference on UK-China Emerging Technologies, 2021
16.3 A 28nm 384kb 6T-SRAM Computation-in-Memory Macro with 8b Precision for AI Edge Chips.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
15.4 A 5.99-to-691.1TOPS/W Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity-Based Optimization and Variable-Precision Quantization.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
Design Methodology towards High-Precision SRAM based Computation-in-Memory for AI Edge Devices.
Proceedings of the 18th International SoC Design Conference, 2021
A 40nm 1Mb 35.6 TOPS/W MLC NOR-Flash Based Computation-in-Memory Structure for Machine Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
A 9.08 ENOB 10b 400MS/s Subranging SAR ADC with Subsetted CDAC and PDAS in 40nm CMOS.
Proceedings of the 47th ESSCIRC 2021, 2021
Challenge and Trend of SRAM Based Computation-in-Memory Circuits for AI Edge Devices.
Proceedings of the 14th IEEE International Conference on ASIC, 2021
MLFlash-CIM: Embedded Multi-Level NOR-Flash Cell based Computing in Memory Architecture for Edge AI Devices.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors.
IEEE J. Solid State Circuits, 2020
A 4-Kb 1-to-8-bit Configurable 6T SRAM-Based Computation-in-Memory Unit-Macro for CNN-Based AI Edge Processors.
IEEE J. Solid State Circuits, 2020
14.3 A 65nm Computing-in-Memory-Based CNN Processor with 2.9-to-35.8TOPS/W System Energy Efficiency Using Dynamic-Sparsity Performance-Scaling Architecture and Energy-Efficient Inter/Intra-Macro Data Reuse.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020
15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020
15.5 A 28nm 64Kb 6T SRAM Computing-in-Memory Macro with 8b MAC Operation for AI Edge Chips.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020
2019
A Half-Select Disturb-Free 11T SRAM Cell With Built-In Write/Read-Assist Scheme for Ultralow-Voltage Operations.
IEEE Trans. Very Large Scale Integr. Syst., 2019
A Dual-Split 6T SRAM-Based Computing-in-Memory Unit-Macro With Fully Parallel Product-Sum Operation for Binarized DNN Edge Processors.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
Recent Advances in Compute-in-Memory Support for SRAM Using Monolithic 3-D Integration.
IEEE Micro, 2019
A Twin-8T SRAM Computation-In-Memory Macro for Multiple-Bit CNN-Based Machine Learning.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019
A 55nm 1-to-8 bit Configurable 6T SRAM based Computing-in-Memory Unit-Macro for CNN-based AI Edge Processors.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019
Proceedings of the 13th IEEE International Conference on ASIC, 2019
2018
A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018
Proceedings of the 55th Annual Design Automation Conference, 2018