conftrace_

distributed computing

98 papers

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Co-occurring keywords

distributed learning (563) parallel computing (146) straggler mitigation (22) model parallelism (43) parallel algorithm (79) distributed algorithm (79) matrix multiplication (41) coded computation (9) message passing (579) graph partitioning (65)

Papers

Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping ICML 2025
ml4xcube: Machine Learning Toolkits for Earth System Data Cubes AAAI 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025
Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks AAAI 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems EMNLP 2024
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NIPS 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024
Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023
Scaling Up Models and Data with t5x and seqio JMLR 2023
Applied Online Algorithms with Heterogeneous Predictors ICML 2023
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings NIPS 2023
Unlocking the Heterogeneous Landscape of Big Data NLP with DUUI EMNLP 2023
DiSh: Dynamic Shell-Script Distribution NSDI 2023
Merlion: End-to-End Machine Learning for Time Series JMLR 2023
Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets ICCV 2023
Communication-efficient distributed eigenspace estimation with arbitrary node failures NIPS 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems CVPR 2022
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022
Kubric: A Scalable Dataset Generator CVPR 2022