FlexFlow
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About
FlexFlow is a deep neural network (DNN) framework that automatically identifies and optimizes parallelization strategies for distributed DNN training. It surpasses traditional methods like data and model parallelism by exploring various parallelization opportunities based on Samples, Operators, Attributes, and Parameters. FlexFlow features an innovative execution simulator that tests the runtime performance of various strategies, alongside an automated search algorithm to discover superior parallelization methods. This framework employs a cutting-edge hierarchical search algorithm for joint optimization of algebraic transformations and parallelization while ensuring scalability. Moreover, FlexFlow enhances generative large language model (LLM) inference through speculative inference and token tree verification.
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Task
Features
• accelerates llm inference
• supports multiple parallelization dimensions
• hierarchical search algorithm for optimization
• execution simulator for runtime performance evaluation
• automatically discovers parallelization strategies
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