This post briefly discusses some of the main contributions and limitations of the MAGEEC project and suggests several directions for future work.
Posts from the ‘Uncategorized’ Category
I set out to examine our current choice of features to be extracted from benchmarks, using a process called PCA (Principle Component Analysis). I used BEEBS as a source of programs, since it has been designed to represent a large range of different types of programs and would help me evaluate the feature thoroughly.
This post considers the question of whether it is possible to obtain C code for the tasks exemplified in the well-known Numerical Recipes in C series so it can be used in a public benchmark repository that be used under a sensible license. Although the Numerical Recipes series is very well-known, its licensing restrictions mean that the GNU Scientific Library (GSL) seems to be a more likely source of such benchmarks. This short post briefly considers the Numerical Recipes, Netlib and GSL resources.
Welcome to MAGEEC—the MAchine Guided Energy Efficient Compiler framework.
MAGEEC is an open source project which combines work on compilation options which save energy with work on machine learning, to create a compiler framework that is capable of generating code that has improved energy efficiency.