Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MCIMX31LCVMN4DR2

MCIMX31LCVMN4DR2

NXP Semiconductors

IC MPU I.MX31 400MHZ 473MAPBGA

744

MC7447AHX867NB

MC7447AHX867NB

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, 32 BIT, POW

1792

P1014NXE5FFB

P1014NXE5FFB

NXP Semiconductors

IC MPU Q OR IQ 800MHZ 425TEBGA

0

MC9328MX1DVH20R2

MC9328MX1DVH20R2

RISC MICROPROCESSOR, 32 BIT, 200

0

MPC8572ECLPXATLE

MPC8572ECLPXATLE

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR

4

MPC8535BVJAKGA

MPC8535BVJAKGA

NXP Semiconductors

IC MPU MPC85XX 600MHZ 783FCBGA

0

P8085AH-1

P8085AH-1

Rochester Electronics

MICROPROCESSOR, 8 BIT, 6MHZ, NMO

161

AD891JP

AD891JP

Analog Devices, Inc.

50MB/S RIGID DISK DATA QUALIFIER

1562

MCIMX283DVM4BR2

MCIMX283DVM4BR2

NXP Semiconductors

IC MPU I.MX28 454MHZ 289MAPBGA

1000

MPC8306CVMACDCA

MPC8306CVMACDCA

NXP Semiconductors

IC MPU MPC83XX 200MHZ 369BGA

0

P1022NSN2LFB

P1022NSN2LFB

NXP Semiconductors

IC MPU Q OR IQ 1.055GHZ 689TBGA

14

LS1023ASN7KNLB

LS1023ASN7KNLB

NXP Semiconductors

QORIQ 4XCPU 64-BIT ARM ARCH 1.

0

NG80960JC50

NG80960JC50

Intel

RISC MICROPROCESSOR, 32 BIT, I96

1486

MPC860DTVR50D4

MPC860DTVR50D4

NXP Semiconductors

POWERQUICC 32 BIT POWER ARCHITEC

0

MPC8241TZQ166D

MPC8241TZQ166D

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, 32 BIT,MPC6

0

Z8S18033FSG

Z8S18033FSG

Zilog / Littelfuse

IC MPU Z180 33MHZ 80QFP

0

MCIMX7S5EVM08SD

MCIMX7S5EVM08SD

NXP Semiconductors

I.MX 7SOLO: REV 1.3

250

MCIMX6U4AVM08ABR

MCIMX6U4AVM08ABR

NXP Semiconductors

IC MPU I.MX6DL 800MHZ 624MAPBGA

0

MCIMX6G2CVK05AA-FR

MCIMX6G2CVK05AA-FR

Freescale Semiconductor, Inc. (NXP Semiconductors)

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

130

MC7448VU1000LD

MC7448VU1000LD

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROPROCESSOR, 32-BIT, POW

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

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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