Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution
Fuente:
arXiv
Saved in:
| Main Authors: | Song, Chang Eun, Bhatnagar, Priyansh, Xia, Zihan, Kim, Nam Sung, Rosing, Tajana, Kang, Mingu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration
by: Wang, Xuan, et al.
Published: (2024)
by: Wang, Xuan, et al.
Published: (2024)
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing
by: Zhang, Tianqi, et al.
Published: (2026)
by: Zhang, Tianqi, et al.
Published: (2026)
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
by: Yang, Haichao, et al.
Published: (2024)
by: Yang, Haichao, et al.
Published: (2024)
FSL-HDnn: A 40 nm Few-shot On-Device Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis
by: Fan, Keming, et al.
Published: (2024)
by: Fan, Keming, et al.
Published: (2024)
GenDRAM:Hardware-Software Co-Design of General Platform in DRAM
by: Lu, Tsung-Han, et al.
Published: (2026)
by: Lu, Tsung-Han, et al.
Published: (2026)
Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving
by: Pan, Yue, et al.
Published: (2025)
by: Pan, Yue, et al.
Published: (2025)
CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference
by: Chen, Yanru, et al.
Published: (2025)
by: Chen, Yanru, et al.
Published: (2025)
Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory
by: Fan, Keming, et al.
Published: (2024)
by: Fan, Keming, et al.
Published: (2024)
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
by: Zhang, Tianqi, et al.
Published: (2026)
by: Zhang, Tianqi, et al.
Published: (2026)
Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
by: Xu, Weihong, et al.
Published: (2023)
by: Xu, Weihong, et al.
Published: (2023)
PIM-FW: Hardware-Software Co-Design of All-pairs Shortest Paths in DRAM
by: Lu, Tsung-Han, et al.
Published: (2025)
by: Lu, Tsung-Han, et al.
Published: (2025)
An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing
by: Moradifirouzabadi, Ashkan, et al.
Published: (2024)
by: Moradifirouzabadi, Ashkan, et al.
Published: (2024)
Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search
by: Song, Chang Eun, et al.
Published: (2025)
by: Song, Chang Eun, et al.
Published: (2025)
HAVEN: High-Bandwidth Flash Augmented Vector Engine for Large-Scale Approximate Nearest-Neighbor Search Acceleration
by: Hsu, Po-Kai, et al.
Published: (2026)
by: Hsu, Po-Kai, et al.
Published: (2026)
Sangam: Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing
by: Kiyawat, Khyati, et al.
Published: (2025)
by: Kiyawat, Khyati, et al.
Published: (2025)
PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers
by: Wu, Yuting, et al.
Published: (2023)
by: Wu, Yuting, et al.
Published: (2023)
GEN-Graph: Heterogeneous PIM Accelerator for General Computational Patterns in Graph-based Dynamic Programming
by: Chen, Yanru, et al.
Published: (2026)
by: Chen, Yanru, et al.
Published: (2026)
Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture
by: Li, Huize, et al.
Published: (2026)
by: Li, Huize, et al.
Published: (2026)
VeRA+: Vector-Based Lightweight Digital Compensation for Drift-Resilient RRAM In-Memory Computing
by: Dong, Weirong, et al.
Published: (2026)
by: Dong, Weirong, et al.
Published: (2026)
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving
by: Lee, Minjae, et al.
Published: (2023)
by: Lee, Minjae, et al.
Published: (2023)
RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs
by: Chen, Yanru, et al.
Published: (2025)
by: Chen, Yanru, et al.
Published: (2025)
A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network
by: Jiang, Aojie, et al.
Published: (2026)
by: Jiang, Aojie, et al.
Published: (2026)
Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory
by: Kim, Dong Eun, et al.
Published: (2025)
by: Kim, Dong Eun, et al.
Published: (2025)
End-to-End Transformer Acceleration Through Processing-in-Memory Architectures
by: Yang, Xiaoxuan, et al.
Published: (2025)
by: Yang, Xiaoxuan, et al.
Published: (2025)
MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
by: Soysal, Melina, et al.
Published: (2025)
by: Soysal, Melina, et al.
Published: (2025)
A Hybrid-Domain Floating-Point Compute-in-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks
by: Yi, Zhiqiang, et al.
Published: (2025)
by: Yi, Zhiqiang, et al.
Published: (2025)
A Bit Level Weight Reordering Strategy Based on Column Similarity to Explore Weight Sparsity in RRAM-based NN Accelerator
by: Yang, Weiping, et al.
Published: (2025)
by: Yang, Weiping, et al.
Published: (2025)
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
by: Pinge, Sumukh, et al.
Published: (2025)
by: Pinge, Sumukh, et al.
Published: (2025)
STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar
by: Zhai, Yifeng, et al.
Published: (2024)
by: Zhai, Yifeng, et al.
Published: (2024)
MENAGE: Mixed-Signal Event-Driven Neuromorphic Accelerator for Edge Applications
by: Abdollahi, Armin, et al.
Published: (2024)
by: Abdollahi, Armin, et al.
Published: (2024)
Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing
by: Lin, Chenqi, et al.
Published: (2025)
by: Lin, Chenqi, et al.
Published: (2025)
Memory-Guided Unified Hardware Accelerator for Mixed-Precision Scientific Computing
by: Wang, Chuanzhen, et al.
Published: (2026)
by: Wang, Chuanzhen, et al.
Published: (2026)
Bancroft: Genomics Acceleration Beyond On-Device Memory
by: Lim, Se-Min, et al.
Published: (2025)
by: Lim, Se-Min, et al.
Published: (2025)
HARP: Hadamard-Domain Write-and-Verify for Noise-Robust RRAM Programming
by: Choi, Ilhuan, et al.
Published: (2026)
by: Choi, Ilhuan, et al.
Published: (2026)
RRAM-Based Analog Matrix Computing for Massive MIMO Signal Processing: A Review
by: Zuo, Pushen, et al.
Published: (2025)
by: Zuo, Pushen, et al.
Published: (2025)
TATAA: Programmable Mixed-Precision Transformer Acceleration with a Transformable Arithmetic Architecture
by: Wu, Jiajun, et al.
Published: (2024)
by: Wu, Jiajun, et al.
Published: (2024)
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
by: Qu, Songyun, et al.
Published: (2024)
by: Qu, Songyun, et al.
Published: (2024)
PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators
by: Sun, Xiaotian, et al.
Published: (2024)
by: Sun, Xiaotian, et al.
Published: (2024)
Similar Items
-
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration
by: Wang, Xuan, et al.
Published: (2024) -
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing
by: Zhang, Tianqi, et al.
Published: (2026) -
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
by: Yang, Haichao, et al.
Published: (2024) -
FSL-HDnn: A 40 nm Few-shot On-Device Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing
by: Xu, Weihong, et al.
Published: (2025) -
SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis
by: Fan, Keming, et al.
Published: (2024)