Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
LS1023AXE7QQB

LS1023AXE7QQB

NXP Semiconductors

QORIQ 2XCPU 64-BIT ARM ARCH 1.

0

MPC885CVR66

MPC885CVR66

NXP Semiconductors

POWERQUICC 32 BIT POWER ARCHITEC

554

MPC8543EVTANGB

MPC8543EVTANGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 800MHZ, PBGA783

76

MPC8358ECVRAGDDA

MPC8358ECVRAGDDA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCH SOC

26

FS32V234BJN1VUB

FS32V234BJN1VUB

NXP Semiconductors

ISP NO GPU NO CSE

0

MPC860TZQ50D4

MPC860TZQ50D4

NXP Semiconductors

POWERQUICC 32 BIT POWER ARCHITEC

23

GE28F008B3BA90

GE28F008B3BA90

Intel

FLASH, 1MX8, 90NS, PBGA46

4838

STM32MP151DAD1

STM32MP151DAD1

STMicroelectronics

MPU WITH ARM CORTEX-A7 800 MHZ,

75

MPC875CZT66

MPC875CZT66

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

44

MPC8248CVRTIEA

MPC8248CVRTIEA

NXP Semiconductors

IC MPU MPC82XX 400MHZ 516BGA

30

GCIXP1240AC

GCIXP1240AC

Intel

32-BIT, 232MHZ, CMOS, PBGA432

1957

N80L286-12/S

N80L286-12/S

80L286 - RISC MPU, 16-BIT

887

MC68EC000E116

MC68EC000E116

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, MC68000

27

MC68SECCFU20B1

MC68SECCFU20B1

MICROPROCESSOR, 8/16/32 BIT, MC6

0

MCIMX31CJMN4C

MCIMX31CJMN4C

Freescale Semiconductor, Inc. (NXP Semiconductors)

I.MX31 32-BIT MPU, ARM1136JF-S C

0

MPC8569EVJAUNLB

MPC8569EVJAUNLB

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

88

MPC8347EVVAJDB

MPC8347EVVAJDB

NXP Semiconductors

IC MPU MPC83XX 533MHZ 672TBGA

0

LS1021ASE7KQB

LS1021ASE7KQB

NXP Semiconductors

LS1 32BIT ARM SOC 1GHZ DDR3/4

438

MC7447AVU1420LB

MC7447AVU1420LB

NXP Semiconductors

IC MPU MPC74XX 1.42GHZ 360FCCBGA

0

MCIMX6G3DVM05AB

MCIMX6G3DVM05AB

NXP Semiconductors

IC MPU I.MC6UL 528MHZ 289BGA

0

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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