Quantizing for Noisy Flash Memory Channels
Not on the map. Why?
Abstract (arXiv)
Flash memory-based processing-in-memory (flash-based PIM) offers high storage capacity and computational efficiency but faces significant reliability challenges due to noise in high-density multi-level cell (MLC) flash memories. Existing verify level optimization methods are designed for general storage scenarios and fail to address the unique requirements of flash-based PIM systems, where metrics such as mean squared error (MSE) and peak signal-to-noise ratio (PSNR) are critical. This paper introduces an integrated framework that jointly optimizes quantization and verify levels to minimize the MSE, considering both quantization and flash memory channel errors. We develop an iterative algorithm to solve the joint optimization problem. Experimental results on quantized images and SwinIR model parameters stored in flash memory show that the proposed method significantly improves the reliability of flash-based PIM systems.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 21 references that are in the map. First posted on arXiv 21 Jun 2025.
Builds on
3 of 21 references.
References · 3
- 2021Convex optimizationcited by 2,515
- 2021SwinIR: Image Restoration Using Swin Transformercited by 1,887
- 2017Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drivescited by 10
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2022PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems
- 2026QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
- 2026NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory
- 2023Just-in-time Quantization with Processing-In-Memory for Efficient ML Training
- 2026LOCALUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM
- 2025P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats
- 2025PDA-LSTM: Knowledge-driven page data arrangement based on LSTM for LCM supression in QLC 3D NAND flash memories
- 2025PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs