Multi-Core ARM Processors. Parallel Programming for High-Performance Embedded Systems
Michael SOUVALL
Synopsis "Multi-Core ARM Processors. Parallel Programming for High-Performance Embedded Systems"
Multi-Core ARM Processors: Parallel Programming for High-Performance Embedded Systems Michael SOUVALL In an era where single-core performance has plateaued and embedded applications demand more intelligence, lower power, and stricter timing guarantees, multi-core ARM architectures have become the foundation of modern embedded design. Yet most resources treat parallelism as a desktop/server topic ignoring the brutal constraints of real embedded systems: microsecond deadlines, microamp budgets, thermal walls, safety certification, security boundaries, and the need for reliability that lasts years in the field. This book bridges that gap. Written by an engineer who has shipped multi-core designs across bare-metal Cortex-M, RTOS-based MCUs, and Linux Cortex-A SoCs, it delivers a complete, battle-tested progression from architecture fundamentals to production-grade parallel systems. You will learn how to:Understand ARM multi-core realities: Cortex-M symmetry, big.LITTLE heterogeneity, cache coherency costs, weak memory orderingChoose the right concurrency model: shared-memory vs message-passing, task vs data vs pipeline parallelismMaster synchronization: atomics, barriers, spinlocks vs blocking, avoiding races/deadlocksBuild bare-metal and RTOS multi-core code: boot, inter-core communication, affinity, deterministic schedulingUse POSIX threads and OpenMP effectively in embedded Linux with affinity, tuning, and pitfallsOptimize memory and cache performance: eliminate false sharing, tile loops, prefetch, profile missesDesign power-aware systems: DVFS, core gating, energy-efficient scheduling, balancing throughput vs battery lifeDebug and profile rigorously: jitter measurement, tracing, perf, powertop, interpreting multi-core metricsApply real-world patterns through case studies: sensor pipelines, image processing, signal processing, networking accelerationNavigate advanced topics: heterogeneous systems, accelerators/NPUs, virtualization, safety-critical/secure designKnow exactly when NOT to use parallelism and how to avoid common fatal mistakesEvery chapter includes code that has shipped in production, measurements taken in real environments (jitter, power, misses, contention), and the failures that taught the lessons. This is not abstract theory or server-side parallelism recycled for MCUs it is embedded-first guidance for engineers who must deliver reliable, efficient, secure, high-performance systems under tight constraints. If you design, prototype, or ship multi-core ARM-based embedded products from IoT nodes to industrial controllers to edge AI devices this book will help you build systems that scale, survive, and don't surprise you in the field
