Embedded Linux RAM Requirements: How Much Memory Does Your System Really Need?
A practical guide to sizing RAM for embedded Linux systems: kernel usage, userspace overhead, realistic memory budgets, and optimization techniques for real products.
Posts
What Makes a Processor Capable of Running Linux? MMU, RAM, Storage, and Architecture Requirements
Learn what hardware is required to run embedded Linux, including the role of an MMU, practical RAM and storage requirements, why standard Linux does not run on most Cortex-M microcontrollers, and when NOMMU systems make sense.
Why MHz Does Not Equal Performance: CPU Clock Speed vs Real-World MCU Throughput
Understand why CPU clock speed alone cannot predict MCU performance. Learn how IPC, pipelines, memory wait states, caches, buses, compilers, and workload shape real embedded throughput.
CoreMark Benchmark Explained: How to Compare Microcontroller Performance Accurately
A practical guide to the CoreMark benchmark: what it measures, how CoreMark/MHz is calculated, how it compares with DMIPS, and how to use benchmark results without mistaking them for application performance.
CUDA and NPU Explained: GPU Acceleration, AI Inference, and Edge Performance for Embedded and Data Center Systems
A clear, practical guide to CUDA and NPU hardware for AI and ML workloads, including what they are, how they are used, where they shine, and simple examples for GPU and edge inference.
Network Protocols Explained: TCP, UDP, DNS, HTTP, HTTPS, FTP, SSH, SCP, NTP, SMTP, POP3, IMAP, SNMP, MQTT and More
A practical guide to the most common network protocols: TCP, UDP, IP, DNS, HTTP, HTTPS, FTP, SSH, SCP, NTP, SMTP, POP3, IMAP, SNMP, DHCP, MQTT, and the port numbers and real-world use cases behind them.
Hardware FPU, VPU, NEON, and SIMD: How They Supercharge CPU Performance in Embedded Systems
Clear explanation of hardware FPU, VPU, NEON, and SIMD instructions and their massive impact on CPU performance. Real benchmarks, use cases, and comparisons showing 10-100x speedups in signal processing, graphics, ML, and math-heavy applications.
Edge AI Explained: NPUs, Deployment, Real-World Applications, and Why It Matters
A practical guide to Edge AI: what it is, why it matters, which NPUs support it, how to deploy it, where it's used, and best practices for on-device machine learning.
CPU vs GPU vs NPU: What They Do, How They Work, When to Use Each, and Real-World Use Cases
A beginner-friendly, comprehensive guide to understanding CPU, GPU, and NPU: what they do, how they differ, their architecture, real-world use cases, pros and cons, and when to use each for your project. Perfect for engineers and developers.
PWM Explained: Pulse Width Modulation Fundamentals with Practical MCU Examples
Complete guide to PWM (Pulse Width Modulation): how it works, frequency vs duty cycle, practical MCU configuration examples, real-world use cases including LED dimming, motor control, and DAC simulation. Clear explanations with working code.