In this study, we review the fundamentals of IoT architecture and we thoroughly present the
communication protocols that have been invented especially for IoT technology. Moreover …

Since the mid-1990s, researchers have been trying to use machine-learning-based
approaches to solve a number of different compiler optimization problems. These …

Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is
increasing rapidly, but compiler research has a high entry barrier. Unlike in other domains …

Android byte-code transformations are used to optimize applications (apps) in terms of run-
time performance and size. But do they affect the energy consumption during this process? If …

For the past 25 years, we have witnessed an extensive application of Machine Learning to
the Compiler space; the selection and the phase-ordering problem. However, limited works …

The open-source compiler GCC offers numerous options to improve execution time. Two
categories of approaches, machine learning-based and design space exploration, have …

Performance is one of the most important qualities of software. Several techniques have thus
been proposed to improve it, such as program transformations, optimisation of software …

The proliferation of low-capacity, interconnected Internet of Things devices has increased
the need for energy efficient software. Optimizing software performance for specific …

Effective code optimization in compilers is crucial for computer and software engineering.
The success of these optimizations primarily depends on the selection and ordering of the …

Existing methods for optimizing the LLVM compiler face challenge in quickly obtaining high-
quality solutions due to the large and discrete optimization space of option sequences, time …