Matrix Multiplication

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Period ending 2026-09-14

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A weekly snapshot of new work published in Matrix Multiplication.

Period ending 2026-09-07

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A weekly snapshot of new work published in Matrix Multiplication.

61 papers

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A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs
Sep 12, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius +3Ternary Memristive Logic Spiking Neural Networks
Maverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation
Sep 9, 2026Ben Merbaum, Mohammad Amin Raeisi, Wenhao Wang +3LLM Inference Efficiency Matrix Multiplication
EFQ-Softmax: Exp-Free Quantization for Softmax
Sep 9, 2026Haohui Han, Yuming Wan, Hongni Wang +4Gumbel-Softmax Relaxation Quantization
KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization
Sep 8, 2026Lexington Whalen, Yuki Ito, Ryo SakamotoLow-Bit Quantization Matrix Multiplication
Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference
Aug 13, 2026Zixuan Lan, Yanhong Li, Jiawei ZhouMatrix Multiplication LLM Inference Efficiency
RegisterBridgeMM: A Register-Centric Framework for RGB-Infrared Object Detection
Aug 5, 2026Zian Wang, Hangchuan Liang, Yuehua Chen +4Infrared Object Detection
Gram-Space: Structure-Preserving Codebook Compression for Memory-Efficient Neuro-Symbolic AI
Aug 2, 2026Weilun Wang, Wantong LiCodebooks Graphics Processing Unit Memory
Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting
Jul 30, 2026Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +14Quantum Learning Quantum
GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding
Jul 29, 2026Jiale Chen, Torsten Hoefler, Dan AlistarhMatrix Multiplication Quadratic Programs
HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models
Jul 29, 2026Hei Yi Mak, Shadan Golestan, Hoang Le +10Fp8 Low-Precision Formats
Contraction-Gauge Preconditioning for Quantized Matrix Multiplication
Jul 21, 2026Piyush Sao, Narasinga Miniskar, Pedro Valero-Lara +2Matrix Multiplication Spectral Preconditioning
How to Build Marcus's Algebraic Mind: From Thagard's Brain--Mind Viewpoint
Jul 18, 2026Hiroyuki Chuma, Kanji Otsuka, Yoichi SatoIn-Memory Computing Computable
(MPO) $^2$ : Multivariate Polynomial Optimization based on Matrix Product Operators(MPO)^2: Multivariate Polynomial Optimization based on Matrix Product Operators
Jul 17, 2026Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano +2Low-Rank Tensor Decomposition Tensor
ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM
Jul 16, 2026Hyunwoo Oh, Suyeon Jang, Hanning Chen +3Matrix Multiplication In-Memory Computing
Eval-Pair Matrix: Answer-Paired Meta-Evaluation of LLM Judges for Grounded RAG
Jul 12, 2026Sriram Selvam, Anneswa GhoshLlm-As-A-Judge Large Language Model Judges
Program-Synthesis-Driven Autodesign of Universal Unitary Operators
Jul 11, 2026Yifei Zhang, Dong Chen, Fan Wang +6Quantum Circuits Photonics
LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models
Jul 8, 2026Sojung An, Junha Lee, Sujeong You +2Parameter-Efficient Fine-Tuning Methods Vision-Language Model Adaptation
HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM Inference
Jul 5, 2026Hui Dong, Yanzhao Li, Jie Gao +5LLM Inference Efficiency Matrix Multiplication
Fast, Parallel, Query-Efficient Binary Classification
Jul 5, 2026Ishani Karmarkar, Liam O'Carroll, Aaron SidfordSeparability Multiclass Classification
WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution
Jul 2, 2026Wan Song, Wei Zhou, Rui Wang +4Matrix Multiplication Lightweight Convolutional Neural Network Hardware Accelerator
MALOQ: Massively Accelerated Learning of Operators for Quantum Transport
Jun 27, 2026Manasa Kaniselvan, Alexander Maeder, Denghui Lu +2Computational Chemistry Probabilistic Operator Learning
SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference
Jun 25, 2026Haoqian Meng, Yilun Luo, Yafei Zhao +4Large Language Model Quantization Large Language Model Compression
The Discrete-Log Clock: How a Transformer Learns Modular Multiplication
Jun 16, 2026Huu Danh NguyenModular Addition Fourier
SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions
Jun 15, 2026Feiyang Chen, Haibo ChenLLM Inference Efficiency Matrix Multiplication
MosaicQuant: Inlier-Outlier Disaggregation for Unified 4-Bit LLM Quantization
Jun 14, 2026Yangjia Hu, Haodong Wang, Zicong Hong +8Large Language Model Quantization Quantization
Accelerating GPU Inference of Large Language Models with Moderately Unstructured Sparse Weight Matrices
Jun 13, 2026Tao Lu, Haoyu Wang, Zonghui Wang +3LLM Inference Efficiency Matrix Multiplication
Muon $^p$ : Muon with Fractional Spectral PowersMuon^p: Muon with Fractional Spectral Powers
Jun 11, 2026Yihe Dong, Will SawinMuon Spectral Descent
Rigel: Reverse-Engineering the Metal 4.1 Tensor Compute Path on the Apple M4 Max GPU
Jun 11, 2026Ramchand KumaresanMatrix Multiplication Generative Adversarial Network
TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs
Jun 9, 2026Wesley Pang, Gregory Hyegang Jun, Feiyang Liu +1Neural Processing Units Matrix Multiplication
SpenseGPT: Practical One-shot Pruning Enabling Sparse and Dense GEMMs for LLM Inference
Jun 9, 2026Jaeseong Lee, Seung-won Hwang, Samyam RajbhandariMagnitude-Based Pruning Sparsity
Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy
Jun 8, 2026Haozhe Hu, Hao Wu, Anhao Zhao +4Magnitude-Based Pruning LLM Inference Efficiency
When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet
Jun 4, 2026Luoming Zhang, Yuwei Ren, Kui Zhang +7Matrix Multiplication
CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation
Jun 1, 2026Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Brahmdutta Dixit +3Ternary Memristive Logic Vram
Riemannian Optimization for Hadamard Products of Low-Rank Matrices
May 31, 2026Pratik Jawanpuria, Ankish Chandresh, Bamdev MishraRiemannian Optimization Low-Rank Factorization
MelT: A Portable, Single-GEMM Mel Audio Frontend via Non-Uniform DFT with Measured Latency and Energy Gains on GPUs
May 31, 2026Augusto Camargo, Marcelo FingerAudio Generation and Processing Matrix Multiplication
Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm
May 29, 2026Fabio Massimo Zanzotto, Federico Ranaldi, Giorgio SattaNeurosymbolic Approach Context-Free Grammars
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models
May 26, 2026Xing Cong, Hanlin Tang, Kan Liu +3Diffusion Transformers Diffusion Models
Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation
May 26, 2026Zehua Pei, Hui-Ling Zhen, Yu Zhang +3Vhdl Register Transfer Level Designs
LAPLEX: The FFT of Learnable Laplace Kernels
May 23, 2026Łukasz Struski, Hanna Blazhko, Piotr Kubaty +1Matrix Multiplication Fourier
EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
May 22, 2026Bowen Duan, Cong Guo, Chiyue Wei +8Calibration-Free Low-Bit Vector Quantization LLM Inference Efficiency
Approaching I/O-optimality for Approximate Attention
May 22, 2026Pál András Papp, Aleksandros Sobczyk, Anastasios ZouziasMatrix Multiplication Low-Rank Factorization
Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning
May 22, 2026Yoshihiko Fujisawa, Yuma Ichikawa, Yudai Fujimoto +2Low-Rank Adapters Large Language Model Adaptation
Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments
May 21, 2026Prajwal PanthEdge Computing Privacy-Preserving Framework
CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs
May 19, 2026Han Guo, Jack Zhang, Arjun Menon +4Graphics Processing Unit Kernels Matrix Multiplication
Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning
May 15, 2026Jayakrishna Amathi, Venkata Prasanth Yanambaka, Saraju P. Mohanty +1Convolutional Neural Network Compression Matrix Multiplication
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models
May 14, 2026Earl KillianPost-Training Quantization Large Language Model Scale
High-Rate Quantized Matrix Multiplication II
May 13, 2026Or Ordentlich, Yury PolyanskiyMatrix Multiplication Model Weights
Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference
May 13, 2026Lingchao Zheng, Yuwei Fan, Jun Li +5Low-Bit Quantization Systematic Fp16 Divergence
On the Approximation Complexity of Matrix Product Operator Born Machines
May 12, 2026Chao Li, Zerui Tao, Yuchen Cong +2Variational Inference Tensor Networks
Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids
May 8, 2026Mads Greisen Højlund, August Smart Lykke-Møller, Henry Moss +1Gaussian Process High-Dimensional
Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge
May 1, 2026M. Grailoo, J. Núñez-YáñezIntelligent Edge Matrix Multiplication
RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts
Apr 28, 2026Vyom Sharma, Debajyoti DattaEnd-To-End Speedup Matrix Multiplication
Multibit neural inference in a N-ary crossbar architecture
Apr 28, 2026Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu AraujoIn-Memory Computing Ternary Memristive Logic
Hardware-Efficient Softmax and Layer Normalization with Guaranteed Normalization for Edge Devices
Apr 26, 2026Dawon Choi, Hana Kim, Ji-Hoon KimBatch Normalization Gumbel-Softmax Relaxation
FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression
Apr 22, 2026Ye Qiao, Yian Wang, Zhiheng Chen +2Large Language Model Compression Model and Context Compression
FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels
Apr 22, 2026Fei Zuo, Xiaoyan Xi, Quanyi Zeng +2LLM Inference Efficiency Matrix Multiplication
Analysis of Nystrom method with sequential ridge leverage scores
Apr 22, 2026Daniele Calandriello, Alessandro Lazaric, Michal ValkoKernel Ridge Regression Low-Rank Factorization
Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation
Apr 19, 2026Hiroki Fujii, Masaki YamakitaState Space Models Multiple-Input Multiple-Output
Reference-state System Reliability method for scalable uncertainty quantification of coherent systems
Apr 18, 2026Ji-Eun Byun, Hyeuk Ryu, Junho SongReliability Large State Space
Amortized Maximum Inner Product Search with Learned Support Functions
Mar 9, 2026Theo X. Olausson, João Monteiro, Michal Klein +1Approximate Nearest-Neighbor Search Index

Sep 12, 2026 · cs.ETJ/K move · Enter open · S save

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

Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius, Daniel Arumí+2

Artificial neural networks rely on vector-matrix multiplications (VMMs), whose implementation in von Neumann architectures is dominated by costly data movement between memory and processing units. Spiking neural networks (SNNs) mitigate this bottleneck by performing in-memory, analog VMMs using memristive crossbar arrays. However, conventional current-mode readout circuits incur significant area and power overhead. This work proposes a fully analog readout architecture based on voltage-to-time conversion of the VMM output. By sensing the column voltage, the proposed approach avoids current-mode summing and scaling circuitry, improving area and energy efficiency. Post-layout simulations of a 10x1 SNN implemented in a 130 nm CMOS technology validate the proposed architecture, while application to a trained 64x10 SNN for digit classification further demonstrates its feasibility for SNN inference.

Ternary Memristive Logic Spiking Neural Networks Analog Matrix Multiplication And Mixed-Signal Circuits Readout

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