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Multi-Core ARM Processors: Parallel Programming for High-Performance Embedded Systems
Paperback
General ComputersIndustrial Design
Publisher: Independently Published
Published: Mar 19 2026
Pages: 232
Weight: 0.70
Height: 0.49 Width: 6.00 Depth: 9.00
Language: English
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.
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 ordering
- Choose the right concurrency model: shared-memory vs message-passing, task vs data vs pipeline parallelism
- Master synchronization: atomics, barriers, spinlocks vs blocking, avoiding races/deadlocks
- Build bare-metal and RTOS multi-core code: boot, inter-core communication, affinity, deterministic scheduling
- Use POSIX threads and OpenMP effectively in embedded Linux with affinity, tuning, and pitfalls
- Optimize memory and cache performance: eliminate false sharing, tile loops, prefetch, profile misses
- Design power-aware systems: DVFS, core gating, energy-efficient scheduling, balancing throughput vs battery life
- Debug and profile rigorously: jitter measurement, tracing, perf, powertop, interpreting multi-core metrics
- Apply real-world patterns through case studies: sensor pipelines, image processing, signal processing, networking acceleration
- Navigate advanced topics: heterogeneous systems, accelerators/NPUs, virtualization, safety-critical/secure design
- Know exactly when NOT to use parallelism and how to avoid common fatal mistakes
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
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