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Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform.

, , , , , , , , , и . CoRR, (2023)

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Xunxing Diao

Linan Diao

Lan Diao

Qiyu Diao

Ren Diao

 

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DAPPLE: A Pipelined Data Parallel Approach for Training Large Models., , , , , , , , , и 3 other автор(ы). CoRR, (2020)PAI-FCNN: FPGA Based Inference System for Complex CNN Models., , , , , , , , , и 1 other автор(ы). ASAP, стр. 107-114. IEEE, (2019)Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform., , , , , , , , , и . CoRR, (2023)DISC: A Dynamic Shape Compiler for Machine Learning Workloads., , , , , , , , , и . EuroMLSys@EuroSys, стр. 89-95. ACM, (2021)Optimizing distributed training deployment in heterogeneous GPU clusters., , , , , , , , и . CoNEXT, стр. 93-107. ACM, (2020)Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment., , , , , и . CoRR, (2023)Accelerating large-scale distributed neural network training with SPMD parallelism., , , , и . SoCC, стр. 403-418. ACM, (2022)PAI-FCNN: FPGA Based CNN Inference System., , , , , , , , , и 1 other автор(ы). FPGA, стр. 184. ACM, (2019)FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads., , , , , , , , и . CoRR, (2020)HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis., , , , , и . EuroSys, стр. 524-541. ACM, (2024)