Journal of Operating Systems Development & Trends

Modern chip multiprocessors increasingly rely on many-core arrays to accelerate dense linear algebra kernels such as block-level general matrix multiplication (GEMM), where inter-tile communication often rivals computation cost.

Heterogeneous parallel computing systems are made up of a combination of multicore CPUs, GPUs, and specialized devices to boost computational power and utilize resources.

The ubiquity of smart devices has dramatically transformed how humans engage with technology.

With the rapid growth of Linux-based systems across cloud computing, Internet of Things (IoT) devices, servers, and embedded platforms, Linux environments have increasingly become attractive targets for sophisticated malware attacks.

Efficient load balancing remains one of the most critical challenges in cloud computing, particularly as modern cloud environments rely on heterogeneous virtual machines (VMs) with varying computational capabilities.

The rapid convergence of artificial-intelligence techniques with core operating system services is ushering in a new class of platforms—intelligent operating systems (iOS)—that can anticipate, adapt, and optimize on behalf of both applications and users.