Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MPC8349EVVALFB

MPC8349EVVALFB

NXP Semiconductors

POWERQUICC 32 BIT POWER ARCH SOC

12

EP9307-CRZ

EP9307-CRZ

Cirrus Logic

IC MPU EP9 200MHZ 272TFBGA

1550

MPC885ZP66

MPC885ZP66

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

1887

P1010NSE5HHA

P1010NSE5HHA

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ RISC MPU 32-BIT ,

105

MCIMX6Y1CVK05AB

MCIMX6Y1CVK05AB

NXP Semiconductors

I.MX6ULL ROM PERF ENHAN

0

T1022NXE7MQB

T1022NXE7MQB

NXP Semiconductors

QORIQ, 2X E5500, 1200MHZ, DDR3L/

10

MCIMX6Q4AVT08ACR

MCIMX6Q4AVT08ACR

NXP Semiconductors

IC MPU I.MX6Q 852MHZ 624FCBGA

0

AM5K2E02ABDA25

AM5K2E02ABDA25

Texas Instruments

SOC MPU KEYSTONE 11

0

MPC8321CZQAFDC

MPC8321CZQAFDC

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 333MHZ, CMOS, PBGA516

160

MCIMX535DVV1C2

MCIMX535DVV1C2

NXP Semiconductors

I.MX53 32-BIT MPU ARM CORTEX-A8

0

AM1806EZWT4

AM1806EZWT4

Texas Instruments

IC MPU SITARA 456MHZ 361NFBGA

0

STM32MP153FAB1

STM32MP153FAB1

STMicroelectronics

MPU WITH ARM DUAL CORTEX-A7 800

0

ATSAMA5D43B-CUR

ATSAMA5D43B-CUR

Roving Networks / Microchip Technology

BGA GREEN, IND TEMP

960

P2010NXE2MHC

P2010NXE2MHC

NXP Semiconductors

IC MPU Q OR IQ 1.2GHZ 689TEBGA

0

MPC8358CVRADDDA

MPC8358CVRADDDA

NXP Semiconductors

IC MPU MPC83XX 266MHZ 668BGA

0

ATSAMA5D26C-CNR

ATSAMA5D26C-CNR

Roving Networks / Microchip Technology

IC MCU 32BIT EXT MEM 289LFBGA

0

MC68LC040RC25A

MC68LC040RC25A

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, MC68000

0

MC68360AI33L

MC68360AI33L

Freescale Semiconductor, Inc. (NXP Semiconductors)

QUICC COMMUNICATIONS CONTROLLER,

43

FS32V234CMN1VUB

FS32V234CMN1VUB

NXP Semiconductors

VISION PROCESSOR FOR FRONT AND S

0

MC8641VJ1000NE

MC8641VJ1000NE

NXP Semiconductors

IC MPU E600 SGL CORE 994FCCBGA

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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