Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MC860ENCVR50D4R2

MC860ENCVR50D4R2

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, 32 BIT, POW

675

MPC8548EPXAQGB

MPC8548EPXAQGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1000MHZ, PBGA783

24

MPC8536BVTANGA

MPC8536BVTANGA

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 800MHZ, PBGA783

5

MPC8306SVMABDCA

MPC8306SVMABDCA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC POWER ARCH SOC, 133MH

84

MPC857DSLVR50B

MPC857DSLVR50B

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, CMOS

44

MC68306EH16BR2

MC68306EH16BR2

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 16.67MHZ, CMOS

0

P2041NSN7MMC

P2041NSN7MMC

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32-BIT POWER ARCH SOC, 4

57

MPC8535AVTANGA

MPC8535AVTANGA

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 800MHZ, PBGA783

1439

MPC8314CVRAFDA

MPC8314CVRAFDA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC II PRO PROCESSOR HARD

36

MC7447AVU1267LB

MC7447AVU1267LB

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, 32 BIT, POW

385

MPC8536EAVTATHA

MPC8536EAVTATHA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC III INTEGRATED PROCES

190

MCIMX250CJM4A

MCIMX250CJM4A

Freescale Semiconductor, Inc. (NXP Semiconductors)

I.MX25 32 BIT MPU, ARM926EJ-S CO

1260

MPC8360VVALFHA

MPC8360VVALFHA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCH SOC

48

MPC8306SCVMADDCA

MPC8306SCVMADDCA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC POWER ARCH SOC, 266MH

34

MC9S12XDT256CPV

MC9S12XDT256CPV

Freescale Semiconductor, Inc. (NXP Semiconductors)

16-BIT, FLASH, CPU12 CPU, 40MHZ

916

MPC857TCVR66B

MPC857TCVR66B

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

30

MPC8313ECVRADDC

MPC8313ECVRADDC

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

40

MPC8347ZUAJFB

MPC8347ZUAJFB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32-BIT, 533MHZ,

3830

BSC9131NJN1HHHB

BSC9131NJN1HHHB

Freescale Semiconductor, Inc. (NXP Semiconductors)

IC MPU QORIQ 800MHZ 520FCBGA

120

P1024NXE5BFB

P1024NXE5BFB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, POWER ARCH 32-BIT SOC, 2

227

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

TypeFunctional CharacteristicsApplication Examples
ARM Cortex-M SeriesLow-power 32-bit cores with real-time capabilities, optional DSP extensionsSmart sensors, wearables, motor control
PowerPCHigh reliability, floating-point units, automotive/Aerospace focusedVehicle ECUs, avionics systems
MIPSEfficient pipelining, 32/64-bit variants for multimedia processingNetworking equipment, set-top boxes
RISC-VOpen instruction set, modular architecture for customizationAI accelerators, edge computing devices
x86 (Embedded)PC compatibility, high processing power with integrated GPUsIndustrial 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

ParameterDescriptionImportance
Clock FrequencyOperating speed (10MHz-6GHz)Determines processing throughput
Instruction SetRISC vs CISC architectureAffects code density and power consumption
TDP (Thermal Design Power)Power consumption under load (100mW-50W)Dictates thermal management requirements
Process NodeManufacturing technology (28nm-5nm)Impacts performance and energy efficiency
Memory BandwidthData transfer rate between core and memoryLimits 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

ManufacturerRepresentative ProductKey Features
ARM HoldingsCortex-A78128-bit NEON engine, 4nm process, 3.0GHz
IntelAtom x6425EQuad-core, 12W TDP, integrated Intel HD Graphics
NXP Semiconductorsi.MX 8M Plus1.8GHz Cortex-A53, NPU for ML acceleration
MicrochipSAM9X6032-bit ARM926EJ-S, 120MHz, ECC memory support
QualcommQCS610Hexagon 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
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