Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MPC859DSLZP50A

MPC859DSLZP50A

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

1980

MCIMX6G2DVK05AA

MCIMX6G2DVK05AA

Freescale Semiconductor, Inc. (NXP Semiconductors)

I.MX 32 BIT MPU, ARM CORTEX-A7 C

2553

MVF50NN151CMK40

MVF50NN151CMK40

Freescale Semiconductor, Inc. (NXP Semiconductors)

VYBRID F 32-BIT MPU, ARM CORTEX-

0

MC9328MX21SVM

MC9328MX21SVM

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, 266MHZ,

0

MPC8548PXAUJB

MPC8548PXAUJB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1333MHZ, PBGA783

39

MC68HC11E0FU

MC68HC11E0FU

Freescale Semiconductor, Inc. (NXP Semiconductors)

8-BIT, 6800 CPU, 2MHZ, PQFP64

48

MPC8572CLVTAULD

MPC8572CLVTAULD

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, CMOS

0

MC68360RC25L

MC68360RC25L

Freescale Semiconductor, Inc. (NXP Semiconductors)

LAN CONTROLLER

48

XPC8240RVV250E

XPC8240RVV250E

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, 32-BIT, POW

0

MCIMX6D6AVT08AC

MCIMX6D6AVT08AC

Freescale Semiconductor, Inc. (NXP Semiconductors)

I.MX 6 SERIES 32 BIT MPU, DUAL A

97

P1022NSN2MHB

P1022NSN2MHB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32 BIT POWER ARCH SOC, 1.

0

P4040NSN1MMB

P4040NSN1MMB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ RISC MICROPROCESSOR, POWER

117

MPC8323EVRADDC

MPC8323EVRADDC

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

19

MPC8247VRTIEA

MPC8247VRTIEA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

1431

KMPC8313CVRAGDB

KMPC8313CVRAGDB

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC II MICROPROCESSOR, E3

6

MCIMX27LMJP4A

MCIMX27LMJP4A

Freescale Semiconductor, Inc. (NXP Semiconductors)

ARM 9 RISC MICROPROCESSOR 32 BI

1014

MC68SECCFU20B1-FR

MC68SECCFU20B1-FR

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 8/16/32 BIT, MC6

0

MPC8572EPXAULE

MPC8572EPXAULE

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR

3

MPC8247ZQTIEA

MPC8247ZQTIEA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

43

MPC8536EBVTATHA

MPC8536EBVTATHA

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1250MHZ, PBGA783

510

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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