conftrace_

matrix multiplication

41 papers

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Also known as

MATMUL MM

Co-occurring keywords

model compression (3302) large language model (13587) distributed computing (98) streaming algorithm (131) coded computation (9) leverage score (28) straggler mitigation (22) kernel matrix (73) low-rank approximation (323) efficient computing (781)

Papers

DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs ACL 2025
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NIPS 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024
John Ellipsoids via Lazy Updates NIPS 2024
Nimbus: Secure and Efficient Two-Party Inference for Transformers NIPS 2024
In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024
FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization COLING 2024
Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization CVPR 2024
Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Efficient Low-rank Backpropagation for Vision Transformer Adaptation NIPS 2023
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception ICCV 2023
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products NIPS 2023
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale NIPS 2022
Sketching Algorithms and Lower Bounds for Ridge Regression ICML 2022
Maximum Class Separation as Inductive Bias in One Matrix NIPS 2022
Iron: Private Inference on Transformers NIPS 2022
Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NIPS 2022
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication ICML 2021
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices AAAI 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks NIPS 2021
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices COLT 2021