Embedded - Microprocessors

Part Number	Description / PDF	Quantity
MPC8255AZUPIBB Freescale Semiconductor, Inc. (NXP Semiconductors)	POWERQUICC RISC MICROPROCESSOR,	910
MPC852TCZT66A Freescale Semiconductor, Inc. (NXP Semiconductors)	RISC MICROPROCESSOR, CMOS	359
MPC8313EVRAFFB Freescale Semiconductor, Inc. (NXP Semiconductors)	MPU, 32-BIT, 333MHZ, PBGA516	15798
MPC8313ECVRADDB Freescale Semiconductor, Inc. (NXP Semiconductors)	32-BIT, 400MHZ, CMOS, PBGA516	1240
MPC860TVR66D4 Freescale Semiconductor, Inc. (NXP Semiconductors)	POWERQUICC 32 BIT POWER ARCHITEC	75
P1010NXN5KHA Freescale Semiconductor, Inc. (NXP Semiconductors)	QORIQ RISC MICROPROCESSOR, POWER	5
MC9328MXLCVP15 Freescale Semiconductor, Inc. (NXP Semiconductors)	DRAGONBALL MXL 225 PB-FR	0
MCIMX31LCVMN4D Freescale Semiconductor, Inc. (NXP Semiconductors)	I.MX31 32-BIT MPU, ARM1136JF-S C	273
P2020NSE2HFC Freescale Semiconductor, Inc. (NXP Semiconductors)	QORIQ, 32-BIT POWER ARCH SOC, 2	0
MCIMX6U4AVM08AB Freescale Semiconductor, Inc. (NXP Semiconductors)	I.MX 6 SERIES 32 BIT MPU, DUAL A	60
P5020NSN7QMB Freescale Semiconductor, Inc. (NXP Semiconductors)	QORIQ, 64-BIT POWER ARCH SOC, DU	10
MPC8569CVTANKGB Freescale Semiconductor, Inc. (NXP Semiconductors)	32-BIT, 800MHZ, CMOS, PBGA783	44
MPC8379EVRAGD Freescale Semiconductor, Inc. (NXP Semiconductors)	32-BIT, 400MHZ, CMOS, PBGA689	306
MPC8245ARVV400D Freescale Semiconductor, Inc. (NXP Semiconductors)	32-BIT, 400MHZ, CMOS, PBGA352	45067
MPC8569EVTAUNLB Freescale Semiconductor, Inc. (NXP Semiconductors)	32-BIT, 1333MHZ, CMOS, PBGA783	51
MPC8548EPXAVHD Freescale Semiconductor, Inc. (NXP Semiconductors)	MPU, 32-BIT, 1500MHZ, PBGA783	60
MC68LC302AF25CT Freescale Semiconductor, Inc. (NXP Semiconductors)	INTEGRATED MULTIPROTOCOL MICROPR	847
MPC8572EPXATLD Freescale Semiconductor, Inc. (NXP Semiconductors)	MPU, 32-BIT, 1200MHZ, PBGA1023	11120
MPC8572EVTATLE Freescale Semiconductor, Inc. (NXP Semiconductors)	POWERQUICC III INTEGRATED PROCES	24
MC68302CRC20C Freescale Semiconductor, Inc. (NXP Semiconductors)	LAN CONTROLLER	14

Embedded - Microprocessors

1. Overview

Embedded microprocessors are specialized computing units designed for dedicated control, monitoring, or processing tasks within electronic systems. Unlike general-purpose CPUs, they integrate processing cores, memory interfaces, and peripheral controllers into a single chip (SoC) to optimize performance, power efficiency, and cost for specific applications. These devices form the backbone of modern IoT, automotive systems, industrial automation, and consumer electronics.

2. Main Types and Functional Classification

Type	Functional Characteristics	Application Examples
ARM Cortex-M Series	Low-power 32-bit cores with real-time capabilities, optional DSP extensions	Smart sensors, wearables, motor control
PowerPC	High reliability, floating-point units, automotive/Aerospace focused	Vehicle ECUs, avionics systems
MIPS	Efficient pipelining, 32/64-bit variants for multimedia processing	Networking equipment, set-top boxes
RISC-V	Open instruction set, modular architecture for customization	AI accelerators, edge computing devices
x86 (Embedded)	PC compatibility, high processing power with integrated GPUs	Industrial PCs, medical imaging equipment

3. Architecture and Components

A typical embedded microprocessor contains:

Processing Core(s): RISC/Complex Instruction Set architectures with 1-8 cores
Memory Subsystem: Integrated SRAM, ROM, and external DRAM controllers
Peripheral Interfaces: UART, SPI, I2C, USB, CAN, PCIe, Ethernet MAC
Real-Time Components: Watchdog timers, PWM generators, ADC/DAC modules
Power Management: Multiple sleep modes, DVFS (Dynamic Voltage/Frequency Scaling)

4. Key Technical Specifications

Parameter	Description	Importance
Clock Frequency	Operating speed (10MHz-6GHz)	Determines processing throughput
Instruction Set	RISC vs CISC architecture	Affects code density and power consumption
TDP (Thermal Design Power)	Power consumption under load (100mW-50W)	Dictates thermal management requirements
Process Node	Manufacturing technology (28nm-5nm)	Impacts performance and energy efficiency
Memory Bandwidth	Data transfer rate between core and memory	Limits performance in data-intensive tasks

5. Application Domains

Consumer Electronics: Smartphones (application processors), home appliances
Automotive: ADAS controllers, engine management systems
Industrial: PLCs (Programmable Logic Controllers), robotics
Healthcare: MRI scanners, portable diagnostic devices
Communications: 5G base stations, optical network transceivers

6. Leading Manufacturers and Products

Manufacturer	Representative Product	Key Features
ARM Holdings	Cortex-A78	128-bit NEON engine, 4nm process, 3.0GHz
Intel	Atom x6425E	Quad-core, 12W TDP, integrated Intel HD Graphics
NXP Semiconductors	i.MX 8M Plus	1.8GHz Cortex-A53, NPU for ML acceleration
Microchip	SAM9X60	32-bit ARM926EJ-S, 120MHz, ECC memory support
Qualcomm	QCS610	Hexagon DSP, Adreno GPU, AI Engine for computer vision

7. Selection Guidelines

Key considerations include:

Performance requirements vs power budget (e.g., Cortex-M55 for ultra-low-power AI)
Real-time constraints (deterministic latency for motor control applications)
Peripheral integration (CAN FD for automotive networks)
Software ecosystem (RTOS support, middleware availability)
Longevity and supply chain stability (automotive-grade qualification)

Case Study: A smart thermostat design selected NXP's MCIMX7U5 (Cortex-M4 + Cortex-A7) for its combination of real-time sensor processing and application-layer connectivity.

8. Industry Trends

Emerging directions include:

AI integration: On-chip neural processing units (NPUs) for edge ML inference
Heterogeneous computing: Multi-architecture SoCs (RISC-V + GPU + NPU)
Advanced packaging: 3D-stacked memory integration for bandwidth-intensive applications
Functional safety: ISO 26262 compliance for autonomous vehicle systems
Open ecosystems: Growth of RISC-V adoption in custom ASIC designs