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Papers
Graph neural networks with configuration cross-attention for tensor compilers
2024-05-26
· Dmitrii Khizbullin, Eduardo Rocha de Andrade, Thanh Hau Nguyen, Matheus Pedroza Ferreira 외
With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as operators transform…
Graph Property PredictionGraph RegressionRuntime rankingTpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
2023-08-25 · NeurIPS 2023 11
· Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi 외
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. For e…
Graph Property PredictionPredictionProperty PredictionRuntime ranking