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CP
2006
Springer
13 years 11 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
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...
PPOPP
2009
ACM
14 years 8 months ago
OpenMP to GPGPU: a compiler framework for automatic translation and optimization
GPGPUs have recently emerged as powerful vehicles for generalpurpose high-performance computing. Although a new Compute Unified Device Architecture (CUDA) programming model from N...
Seyong Lee, Seung-Jai Min, Rudolf Eigenmann
ICMLA
2009
13 years 5 months ago
ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
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...
SIGMOD
2006
ACM
150views Database» more  SIGMOD 2006»
14 years 7 months ago
Automatic physical design tuning: workload as a sequence
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...
Sanjay Agrawal, Eric Chu, Vivek R. Narasayya
ICS
2009
Tsinghua U.
14 years 2 months ago
Parametric multi-level tiling of imperfectly nested loops
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...