„compiler optimization“
Suchergebnisse
1.000+ Treffer
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Verifying a compiler optimization for multi-threaded Java
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Christian Blum and Günther R. Raidl: Hybrid metaheuristics—powerful tools for optimization – Springer International Publishing, Switzerland, 2016, 157 pp, ISBN: 978-3-319-30882-1
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A novel buffer management scheme based on particle swarm optimization for SSD
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Deriving Array Distributions by Optimization Techniques
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A systematic review of the literature on recent trends in dynamic combinatorial optimization problems linked to meta-learning in metaheuristics and quantum computing
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“Machine learning assisted evolutionary multi- and many-objective optimization” by Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, and Erik D. Goodman, ISBN 978-981-99-2095-2, Springer, 2024
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Predicting health indicators for open source projects (using hyperparameter optimization)
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How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization)
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Multi-strategy quantum particle swarm optimization for efficient path planning of mobile robots
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Response surface-driven hyperparameter optimization for XGBoost
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Optimizing tensor train decomposition in DNNs for RISC-V architectures using design space exploration and compiler optimizations
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Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines
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High-performance intrusion detection using hybrid BiLSTM–TCN model with adaptive sine–cosine algorithm for hyperparameter optimization
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Approaches to Code Generation for Synchronous Transfer Architecture (STA)
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Dung beetle optimization algorithm with multi-strategy fusion for multi-UAV path planning
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Exact Integer Programming Approaches to Sequential Instruction Scheduling and Offset Assignment
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A framework for intelligent speculative compiler optimizations and its application to memory accesses
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Code optimization in the polyhedron model – improving the efficiency of parallel loop nests
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Dialectic optimization algorithm (DOA): a novel metaheuristic inspired by dialectical philosophy
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Smooth gradient loss: a loss function for gradient regularization in deep learning optimization