0 views collected around this technical thread.
This article explains the Linux kernel's CPU load‑balancing mechanism, covering concepts such as CPU load, balancing strategies, scheduling domains, groups, the PELT algorithm, CFS scheduling, trigger points, and practical code examples for both regular and real‑time tasks.
Using cooking metaphors, the article explains how CPUs execute instructions as threads, the role of operating systems in multitasking, the distinction between processes and threads, the relevance of core counts, and best practices for thread usage in single‑core and multi‑core environments.
This article provides a comprehensive overview of CPU fundamentals, covering core concepts such as clock speed, external frequency, front‑side bus, multiplier, bit and word length, cache hierarchy, instruction sets, voltage levels, manufacturing processes, pipelines, superscalar execution, SMP, multicore designs, multithreading, hyper‑threading, and NUMA technology.
This article outlines the motivation and seven fundamental aspects of distributed storage—replication, storage engine, transactions, analytics, multi‑core processing, computation, and compilation—detailing their roles, challenges, and design considerations for building scalable, reliable, and high‑performance data systems.
This article provides a comprehensive overview of distributed storage, covering seven core aspects such as replication, storage engines, transaction processing, analytical query execution, multi‑core scalability, computation models, and compilation techniques, while also highlighting practical challenges and design considerations for modern database systems.
CPU caches, organized into L1‑L3 levels, accelerate memory access by exploiting locality, but their independent copies can cause data inconsistency across cores; coherence protocols such as MESI and memory‑barrier instructions ensure that reads and writes remain ordered and visible across all processors.
This article explains how to achieve multi‑million‑packet‑per‑second network capture on Linux 3.16 using standard C/C++ code, by distributing interrupts across cores, employing AF_PACKET with FANOUT and RX_RING, and optimizing memory handling to eliminate costly kernel locks and copies.