Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
OMAP3530ECUS

OMAP3530ECUS

Texas Instruments

IC MPU OMAP-35XX 600MHZ 423FCBGA

87

MPC8533EVTAQGA

MPC8533EVTAQGA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

1812

P8279-5

P8279-5

Rochester Electronics

MICROPROCESSOR CIRCUIT, CMOS, PD

6585

MPC8543EVTANGD

MPC8543EVTANGD

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC III INTEGRATED PROCES

396

MPC8313EZQAFFC

MPC8313EZQAFFC

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC II PRO PROCESSOR

6440

MC68306PV20B

MC68306PV20B

MICROPROCESSOR, 32 BIT, MC68000

28

Z8S18020FSC00TR

Z8S18020FSC00TR

Zilog / Littelfuse

IC MPU Z180 20MHZ 80QFP

0

TN80C186XL-12

TN80C186XL-12

Rochester Electronics

MICROPROCESSOR, 16-BIT, 12MHZ, C

237

MCIMX233DAG4B

MCIMX233DAG4B

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, CMOS, PQFP128

282

LS1046AXN8P1A

LS1046AXN8P1A

NXP Semiconductors

QORIQ LAYERSCAPE 4XA72 64BIT ARM

30

TG80960JS25

TG80960JS25

Intel

RISC MICROPROCESSOR, 32-BIT, 25M

754

MPC860PCZQ50D4

MPC860PCZQ50D4

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

1232

P2040NXN7MMC

P2040NXN7MMC

NXP Semiconductors

IC MPU Q OR IQ 1.2GHZ 780FCBGA

0

MPC8543ECPXAQGD

MPC8543ECPXAQGD

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC III INTEGRATED PROCES

648

MC860ENCZQ50D4R2

MC860ENCZQ50D4R2

NXP Semiconductors

IC MPU MPC8XX 50MHZ 357BGA

0

MVF30NS152CKU26

MVF30NS152CKU26

NXP Semiconductors

IC MCU 32BIT ROMLESS 176LQFP

0

OMAPL138EZCED4E

OMAPL138EZCED4E

Texas Instruments

IC MPU OMAP-L1X 456MHZ 361NFBGA

0

MC68LC040RC40A

MC68LC040RC40A

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 40MHZ, CMOS, PPGA179

810

MC68HC11A0CFN3

MC68HC11A0CFN3

8-BIT, 3MHZ, HCMOS, PQCC52

0

MPC8378EVRAGD

MPC8378EVRAGD

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

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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