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TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Precise hardware performance models play a crucial role in code optimizations. They can assist compilers in making heuristic decisions or aid autotuners in identifying the optimal configuration for a given program.
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Enhancing Efficiency of Generated Code via Self-Optimization Dong Huang
These profiles are fed back to the LLM, which then revises the code to reduce overhead.
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A Graph Theoretic Additive Approximation of Optimal Transport
Nathaniel Lahn, Deepika Mulchandani, Sharath Raghvendra
Neural Information Processing Systems http://nips.cc/
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Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He
First, we construct asmall world graphrepresentation [31, 32] of a vocabulary. The nodes inthegraph arewords, each being represented using acontinuous vector transformed from its word embedding vector in the NLM.
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