Compute-in-Memory

Ask about this topic

Momentum

5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 34

All topics
CardsList

  1. Robust Parameter-Efficient LLM Adaptation on Analog Hardware

    Oct 4, 2026Jindan Li, Zhaoxian Wu, Tianyi ChenCompute-in-MemoryLLM Fine-Tuning

    Cornell University

  2. IMC-CLINIC: Coupled Loss-Informed Newton Iterations for Clipping in Analog In-Memory Computing

    Sep 28, 2026Yung-Chin Chen, Chia-Yu Chen, Naveen VermaLLM QuantizationCompute-in-Memory

    Princeton University, NJ, USA · EnCharge AI, CA, USA

  3. LLM Inference in a Flash!

    Sep 14, 2026Sebastian Zhao, Minseo Kim, Coleman Hooper +5LLM QuantizationCompute-in-Memory

    UC Berkeley · ICSI · LBNL

  4. Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

    Sep 12, 2026Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2Compute-in-MemoryBayesian Inference

    CEA-List, Grenoble, France

  5. A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs

    Sep 12, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius +3Efficient Neural Network InferenceCompute-in-Memory

    Universitat Polit`ecnica de Catalunya - BarcelonaTech (UPC)

  6. RACE-AIMC: Selective Inference for Heterogeneous Analog In-Memory Accelerators at the Edge

    Sep 2, 2026Osama Yousuf, Martin Lueker-BodenEfficient Neural Network InferenceCompute-in-Memory

    WD Research San Jose, CA, USA

  7. ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware

    Sep 1, 2026Yuannuo Feng, Yizhe Chen, Wenshuai Yao +4Compute-in-MemoryDiffusion Sampling

    School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · Zhicun Research Lab, Beijing, China · School of Integrated Circuits, Peking University, Beijing, China +1

  8. NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory

    Aug 3, 2026Yizhe Chen, Wenshuai Yao, Saiya Wang +6Mixed-Precision QuantizationCompute-in-Memory

    School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · School of Integrated Circuits, Peking University, Beijing, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China

  9. Mitigating the Impact of Retention Loss on Inference Accuracy in 65 nm Single-Poly Floating-Gate Analog In-Memory Computing

    Jul 27, 2026Mirko Brazzini, Giulio Filippeschi, Alessandro Catania +2Compute-in-Memory

    Dipartimento di Ingegneria dell’Informazione, University of Pisa, Pisa, Italy · Quantavis SRL, Pisa, Italy

  10. Multi-primitive in-memory computing for Monte Carlo tree search

    Jul 24, 2026Tergel Molom-Ochir, Benjamin F. Morris, Yintao He +6Compute-in-MemoryEnergy-Efficient ML

    Department of Electrical and Computer Engineering, Duke University, Durham, 27708, NC, USA. · Hewlett Packard Labs, Milpitas, 95035, CA, USA.

  11. RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory

    Jul 23, 2026Zahra Yousefijamarani, Alaa AlameldeenEfficient Transformer InferenceAI Accelerator Inference

    Simon Fraser University

  12. Leveraging ECRAM for Edge Continual Learning

    Jul 22, 2026Nabila Tasnim, Haoran Liu, Qing Cao +1Compute-in-MemoryContinual Learning

    University of Illinois Urbana-Champaign

  13. ThRIve: Thermally Robust CNN Inference via Low-Rank Adaptation in Heterogeneous PIM Architectures

    Jul 19, 2026Vibhanshu Sharma, Pratyush Dhingra, Janardhan Rao Doppa +1Efficient Neural Network InferenceCompute-in-Memory

    Washington State University

  14. NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference

    Jul 16, 2026Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao +3Efficient Transformer InferenceCompute-in-Memory

    Arizona State University, Tempe, AZ, USA · Hewlett Packard Enterprise Labs, Fort Collins, CO, USA

  15. Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing

    Jul 6, 2026Joel Klein, Rebecca Pelke, Roberto Laudani +2Compute-in-MemoryHeterogeneous Computing

    Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Germany

  16. Multi-Level Resistive Synapses for On-Chip Neural Networks: A Physics-Based Design of a Memristive Crossbar Fabric with Quasi-Continuous Conductance States

    Jun 21, 2026David Alejandro Trejo PizzoEfficient Neural Network InferenceCompute-in-Memory

    Independent researcher.

  17. ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors

    Jun 16, 2026Ching-Yi Lin, Shamik Kundu, Arnab Raha +1Compute-in-MemoryFine-Tuning

    University of Maryland, College Park, MD, USA · Intel Corporation, 2200 Mission College Blvd, Santa Clara, CA 95054, USA

  18. Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting

    Jun 15, 2026Keshava Katti, Adithya Selvakumar, Pratik Chaudhari +1Efficient Neural Network InferenceDynamical Systems

    Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA

  19. An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers

    Jun 2, 2026Georgios Papandroulidakis, Shady Agwa, Themis ProdromakisCompute-in-MemoryEdge ML

    Centre for Electronics Frontiers, Institute of Micro and Nano Systems, School of Engineering, The University of Edinburgh, EH9 3BF, UK.

  20. CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation

    Jun 1, 2026Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Brahmdutta Dixit +3Efficient Neural Network InferenceCompute-in-Memory

    Electrical and Computer Engineering Iowa State University of Science and Technology Ames, IA, USA · Electrical and Computer Engineering University of Minnesota Twin Cities Minneapolis, MN, USA

  21. LP5X-PIM Sim: A High-Fidelity HW/SW Integrated Simulator for LPDDR5X-PIM

    May 30, 2026SangHoon Cha, Jaewan Choi, Byeongho Kim +3Compute-in-Memory

    Samsung Electronics, South Korea

  22. Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task

    May 29, 2026Qianhou Qu, Sheng Lu, Liuting Shang +4Efficient Neural Network InferenceCompute-in-Memory

    Department of Electrical Engineering The University of Texas at Arlington Arlington, USA · Department of Electrical Engineering and Computer Science South Dakota State University Brookings, USA

  23. E-ReCON: An Energy- and Resource-Efficient Precision-Configurable Sparse nvCIM Macro for Conventional and Spiking Neural Edge Inference

    May 20, 2026Ankit Kumar Tenwar, Mukul Lokhande, Santosh Kumar VishvakarmaCompute-in-MemoryEdge Inference

    Dept. of Electrical Engineering Indian Institute of Technology Indore Simrol 453552, Indore, India

  24. A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory

    May 12, 2026Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski +2Compute-in-MemoryEnergy-Efficient ML

    PGI-14, Forschungszentrum Jülich, Jülich, Germany · RWTH Aachen University, Aachen, Germany · Hewlett Packard Enterprise, Fort Collins, CO, USA

  25. ROMER: Expert Replacement and Router Calibration for Robust MoE LLMs on Analog Compute-in-Memory Systems

    May 12, 2026Wenyong Zhou, Yuannuo Feng, Yizhe Chen +6Compute-in-MemoryMixture-of-Experts Language Models

    The Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong · The School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China

  26. A Controlled Diagnostic Study of Hardware-Induced Distortions in Hardware-Aware Training

    May 10, 2026Yunxuan Fang, Xinhe WangCompute-in-MemoryNeural Network Optimization

    Beihang University Beijing, China

  27. AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving

    Apr 28, 2026Zhongkai Yu, Haotian Ye, Chenyang Zhou +9Compute-in-MemoryLLM Inference Acceleration

    University of California, San Diego · Columbia University · Yonsei University +2

  28. Multibit neural inference in a N-ary crossbar architecture

    Apr 28, 2026Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu AraujoEfficient Neural Network InferenceCompute-in-Memory

    Universit´e catholique de Louvain, Institute of Condensed Matter and Nanosciences, Louvain-la-Neuve, 1348, Belgium

  29. AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

    Apr 28, 2026Ma Zirui, Fan Zhihua, Li Wenxing +4Compute-in-MemoryOn-Device Language Model Inference

    State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences

  30. AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization

    Apr 20, 2026Kosuke Matsushima, Yasuyuki Okoshi, Masato Motomura +1Compute-in-MemoryLong-Context Language Model Inference

    Institute of Science Tokyo†