Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MPC875VR133

MPC875VR133

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

0

MCIMX6U4AVM10AD

MCIMX6U4AVM10AD

NXP Semiconductors

I.MX6 SOLO ROM PERF ENHA

0

AM3352BZCZ60

AM3352BZCZ60

Texas Instruments

IC MPU SITARA 600MHZ 324NFBGA

2109

MC9328MX21DVK

MC9328MX21DVK

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, 266MHZ,

18379

MPC8377CVRALG

MPC8377CVRALG

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 667MHZ, PBGA689

6

MCIMX6Y7DVM09AB

MCIMX6Y7DVM09AB

NXP Semiconductors

I.MX6ULL ROM PERF ENHAN

0

MPC8572EVTAULD

MPC8572EVTAULD

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1333MHZ, PBGA1023

0

AM3357BZCZA60

AM3357BZCZA60

Texas Instruments

IC MPU SITARA 600MHZ 324NFBGA

0

MPC8548PXAQGB

MPC8548PXAQGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1000MHZ, PBGA783

1

STM32MP153AAD3T

STM32MP153AAD3T

STMicroelectronics

MPU WITH ARM DUAL CORTEX-A7 650

0

OMAPL138BZWTD4

OMAPL138BZWTD4

Texas Instruments

IC MPU OMAP-L1X 456MHZ 361NFBGA

1

LS1023AXE7MQB

LS1023AXE7MQB

NXP Semiconductors

QORIQ 2XCPU 64-BIT ARM ARCH 1.

0

P1020NXN2FFB

P1020NXN2FFB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, POWER ARCH 32-BIT SOC, 2

6

P1016NSE5DFB

P1016NSE5DFB

NXP Semiconductors

QORIQ, POWER ARCH 32-BIT SOC, 53

1851

MVF50NN152CMK40

MVF50NN152CMK40

NXP Semiconductors

IC MCU 32BIT ROMLESS 364MAPBGA

0

Z84C0006AEG

Z84C0006AEG

Zilog / Littelfuse

IC MPU Z80 6MHZ 44LQFP

73

MC7448VU1267ND

MC7448VU1267ND

NXP Semiconductors

IC MPU MPC74XX 1.267GHZ 360BGA

42

Z8L18220FSG

Z8L18220FSG

Zilog / Littelfuse

IC MPU ZIP 20MHZ 100QFP

0

OMAP3503ECBB

OMAP3503ECBB

Texas Instruments

IC MPU OMAP-35XX 600MHZ 515FCBGA

636

NS486SXF-25/NOPB

NS486SXF-25/NOPB

Texas Instruments

IC MPU INTEL486 SX 25MHZ 160QFP

23

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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