Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
AM1806EZCED4

AM1806EZCED4

Texas Instruments

IC MPU SITARA 456MHZ 361NFBGA

0

LM8333GGR8X

LM8333GGR8X

MICROPROCESSOR CIRCUIT, PBGA49

14000

MPC8377EVRAGDA

MPC8377EVRAGDA

NXP Semiconductors

IC MPU MPC83XX 400MHZ 689TEBGA

27

Z16C0210VEC00TR

Z16C0210VEC00TR

Zilog / Littelfuse

IC MPU SCC 10MHZ 44PLCC

0

MPC860DPCZQ50D4

MPC860DPCZQ50D4

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

55

MIMX8MM5DVTLZAA

MIMX8MM5DVTLZAA

NXP Semiconductors

IC MPU I.MX 8M MINI QUADLITE

0

AM3354BZCZA80

AM3354BZCZA80

Texas Instruments

IC MPU SITARA 800MHZ 324NFBGA

0

MPC8313CZQAFF

MPC8313CZQAFF

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 333MHZ, PBGA516

40

MC68HC000CEI16

MC68HC000CEI16

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 16.67MHZ, CMOS, PQCC68

102

MCIMX6X2CVN08AB

MCIMX6X2CVN08AB

NXP Semiconductors

IC MPU 32BIT I.MX6 800MHZ 400BGA

0

MPC8323EZQADDC

MPC8323EZQADDC

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

0

MPC7410VS500LE

MPC7410VS500LE

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MICROCONTROLLER, 32 BIT, PO

0

EPS448PC-16

EPS448PC-16

Altera (Intel)

MICROPROGRAM SEQUENCER PDIP28

54

MC8641DVJ1500KE

MC8641DVJ1500KE

NXP Semiconductors

IC MPU E600 DUAL CORE 1023FCCBGA

0

MPC8535EBVTAQG

MPC8535EBVTAQG

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1000MHZ PBGA783

16

LS1088AXE7MQA

LS1088AXE7MQA

NXP Semiconductors

LS1088A 1200/1600 XT WE

20

20-668-0011

20-668-0011

Digi

IC MPU RABBIT 55MHZ 128LQFP

139

IP80C86

IP80C86

MICROPROCESSOR, 16-BIT, 5MHZ, CM

14

MPC8245TZU333D

MPC8245TZU333D

NXP Semiconductors

32 BIT POWER ARCHITECTURE, 333MH

0

MPC8306VMADDCA

MPC8306VMADDCA

NXP Semiconductors

IC MPU MPC83XX 266MHZ 369BGA

9

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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