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 ...
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...
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...
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...
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...
Software Development Tools Intel® Fortran Compiler 29045 Discussions Machine Learning Subscribe More actions JohnNichols Valued Contributor III 05-14-2022 02:11 PM 4,713 Views https://github.com/modern-fortran/neural-fortran#building-with-cmake There is a machine learning in Fortran ...
Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated...
A Data-Centric Compiler for Machine Learning. Contribute to spcl/daceml development by creating an account on GitHub.
Proj. CDeepFuzz Paper Reading: Pytorch2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation Abstract 工具:TorchDynamo, TorchInductor Task: 实现了torch.compile的解释器和编译器 TorchDynamo: Task: Python-level just-in-time(JIT) compiler Method: 允许graph ...
Machine learning has firmly entrenched in a variety of human fields, from speech recognition to medical diagnosing. The popularity of this approach is so great that people try to use it wherever they...