„Compiler optimization“
Suchergebnisse
1.000+ Treffer
-
Verifying a compiler optimization for multi-threaded Java
-
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
-
A novel buffer management scheme based on particle swarm optimization for SSD
-
Deriving Array Distributions by Optimization Techniques
-
A systematic review of the literature on recent trends in dynamic combinatorial optimization problems linked to meta-learning in metaheuristics and quantum computing
-
“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
-
Predicting health indicators for open source projects (using hyperparameter optimization)
-
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization)
-
Multi-strategy quantum particle swarm optimization for efficient path planning of mobile robots
-
Response surface-driven hyperparameter optimization for XGBoost
-
Optimizing tensor train decomposition in DNNs for RISC-V architectures using design space exploration and compiler optimizations
-
Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines
-
High-performance intrusion detection using hybrid BiLSTM–TCN model with adaptive sine–cosine algorithm for hyperparameter optimization
-
Approaches to Code Generation for Synchronous Transfer Architecture (STA)
-
Dung beetle optimization algorithm with multi-strategy fusion for multi-UAV path planning
-
Exact Integer Programming Approaches to Sequential Instruction Scheduling and Offset Assignment
-
A framework for intelligent speculative compiler optimizations and its application to memory accesses
-
Code optimization in the polyhedron model – improving the efficiency of parallel loop nests
-
Dialectic optimization algorithm (DOA): a novel metaheuristic inspired by dialectical philosophy
-
Smooth gradient loss: a loss function for gradient regularization in deep learning optimization