Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MPC8555EPXALF

MPC8555EPXALF

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

577

MCIMX6Y7DVK05AB

MCIMX6Y7DVK05AB

NXP Semiconductors

I.MX6ULL ROM PERF ENHAN

0

NG80960JA3V33

NG80960JA3V33

IC MPU I960 33MHZ 132QFP

3

AM3352BZCZ30

AM3352BZCZ30

Texas Instruments

IC MPU SITARA 300MHZ 324NFBGA

18

Z8018233ASG

Z8018233ASG

Zilog / Littelfuse

IC MPU ZIP 33MHZ 100VQFP

0

KU80386SXTA33

KU80386SXTA33

Intel

IC MPU I386 33MHZ 100QFP

24

AM3352BZCEA30

AM3352BZCEA30

Texas Instruments

AM3352 SITARA PROCESSOR: ARM COR

160

MPC852TVR66A

MPC852TVR66A

NXP Semiconductors

POWERQUICC 32 BIT POWER ARCHITEC

380

AT91SAM9260B-CU-100

AT91SAM9260B-CU-100

Atmel (Microchip Technology)

RISC MICROCONTROLLER, 32 BIT, F

0

R7S921053VCBG#AC0

R7S921053VCBG#AC0

Renesas Electronics America

32BIT MCU RZ/A2M 4MB RAM BGA324

65

MPC8260ACZUMHBB

MPC8260ACZUMHBB

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

218

MCIMX6L2EVN10AB

MCIMX6L2EVN10AB

NXP Semiconductors

IC MPU I.MX6SL 1.0GHZ 432MAPBGA

0

MC7448HX600ND

MC7448HX600ND

NXP Semiconductors

IC MPU MPC74XX 600MHZ 360FCCBGA

0

MC68HC11E0CFN2R2

MC68HC11E0CFN2R2

Freescale Semiconductor, Inc. (NXP Semiconductors)

8-BIT, MROM, 2MHZ, HCMOS,

2038

MC9S08RC16CFJ

MC9S08RC16CFJ

Freescale Semiconductor, Inc. (NXP Semiconductors)

8-BIT, FLASH, 8MHZ PQFP32

7745

SVF512R3K1CMK4

SVF512R3K1CMK4

NXP Semiconductors

IC MCU 32BIT ROMLESS 364MAPBGA

90

AM3356BZCZ30

AM3356BZCZ30

Texas Instruments

IC MPU SITARA 300MHZ 324NFBGA

0

MPC8377EVRANGA

MPC8377EVRANGA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCH SOC

1

MCIMX6QP6AVT1AB

MCIMX6QP6AVT1AB

NXP Semiconductors

I.MX 6QP ROM PERF ENHAN

0

MCF5206CFT16A

MCF5206CFT16A

RISC MICROPROCESSOR, 32 BIT, COL

576

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
RFQ BOM Call Skype Email
Top