Introduction to the Philips’ LPC 2100 ARM 7-based microcontroller – the first standard microcontroller to integrate ARM-7 – and the first to use Philips’ new Memory Acceleration Module
Trevor martin gives a developer’s view of Philips’ LPC 2100 ARM 7-based microcontroller – the first standard microcontroller to integrate ARM-7 – and the first to use Philips’ new Memory Acceleration Module.
Since its inception the ARM7 core has primarily been available as an IP core for incorporation into custom System on chip designs. With the launch of the LPC2106 the first member of the LPC2100 family Philips has introduced a standard chip featuring the 32-bit ARM7 processor on chip FLASH and SRAM with a range of general purpose peripherals in low pin count packages. However this on it own does not necessarily make a successful microcontroller, as always the devil is in the detail and this article will look at some of the key features of the LPC2100 family that help to successfully integrate the ARM7 CPU into a standard microcontroller architecture.
Click here to read more ....
Related Semiconductor IP
- AXI to UCIe FDI Interface IP
- 45SPCLO UCIe-Class 1-32Gbps Low Power Receiver IP (NRZ)
- 45SPCLO UCIe-Class 1-32Gbps Low Power Transmitter IP (NRZ)
- Peripheral Sensor Interface (PSI5) Host Controller
- Link Acceleration Unit
Related Articles
- How to Elevate RRAM and MRAM Design Experience to the Next Level
- NoCs and the transition to multi-die systems using chiplets
- The Hitchhiker's Guide to Programming and Optimizing CXL-Based Heterogeneous Systems
- Paving the way for the next generation of audio codec for True Wireless Stereo (TWS) applications - PART 5 : Cutting time to market in a safe and timely manner
Latest Articles
- CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research
- Croc: Training the Next Generation Chip Designers on Domain-Specific End-to-End Open Source Silicon
- Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming
- LLM4RTL: Tool-Assisted LLM for RTL Generation
- Towards Delta Aware Training: Efficient DNN Weight Storage for Resource-Constrained FPGAs