This paper presents an automated performance tuning solution, which partitions a program into a number of tuning sections and finds the best combination of compiler options for e...
Although compile-time optimizations generally improve program performance, degradations caused by individual techniques are to be expected. One promising research direction to ove...
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
To achieve maximum performance gains through compiler optimization, most automatic performance tuning systems use a feed-back directed approach to rate the code versions generated...
Automatic tuning has emerged as a solution to provide high-performance libraries for fast changing, increasingly complex computer architectures. We distinguish offline adaptation (...