Computer science Automatic selection of compiler optimizations using program characterization and machine learning UNIVERSITY OF DELAWARE John Cavazos ParkEun JungIt has been shown that machine-learning driven optimizations often outperform bundled optimizations or human-constructed heuristics in selecting ...
We develop compiler technology to accelerate deep learning applications for Apple products. In this role, you will be empowered to: - Architect and develop the compiler for Apple proprietary Neural Engine Accelerator architecture, to enable inference of deep learning networks onto this architecture with...
参考论文Machine Learning in Compiler Optimization I. Introduction It is All About Optimization 编译器有两个任务:translation和optimization。translation是成功将程序翻译成可执行文件。optimization是找到最高效的翻译。 在之前,编译和机器学习是两个不交叠的领域,现在这两个领域结合在了一起。因为可以把代码看做一...
Theano - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python. TensorFlow - Open source software library for numerical computation using data flow graphs. pomegranate - Hidden Markov Models for Python, implemented in Cython for speed and efficiency. python-tim...
We describe how machine learning techniques, such as logistic regression, can be used to address these problems. We focus on decreasing the compile time for a static commercial compiler, while preserving the execution time. We show that we can speed up the compile process by at least a factor...
Integre IA en aplicaciones empresariales críticas en IBM zSystems con una plataforma machine learning de extremo a extremo.
Software Development Tools Intel® Fortran Compiler 29081 Discussions Machine Learning Subscribe More actions JohnNichols Valued Contributor III 05-14-2022 02:11 PM 4,830 Views https://github.com/modern-fortran/neural-fortran#building-with-cmake There is a machine learning in Fortran ...
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) - PaddlePaddle/Paddle
Luckily, the Infer.NET compiler takes care of all that.Training All queries to the model (training, prediction and so forth) go through three steps: set priors, observe data, run inference. Both training and prediction are called “inference” because fundamentally they do the same thing: ...
For example, machine learning and program generation occurred multiple times in the program synthesis category; we combined both of these terms to make one search string i.e., program generation using machine learning. In other cases, we tried to reduce the scope of the search term by adding ...