Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
GPGPUs have recently emerged as powerful vehicles for generalpurpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from N...
This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
The area of automatic selection of physical database design to optimize the performance of a relational database system based on a workload of SQL queries and updates has gained p...
Tiling is a crucial loop transformation for generating high performance code on modern architectures. Efficient generation of multilevel tiled code is essential for maximizing da...
Albert Hartono, Muthu Manikandan Baskaran, C&eacut...