Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MC68SEC000AA10

MC68SEC000AA10

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, MC68000

3637

KMPC8548EVUAUJ

KMPC8548EVUAUJ

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC III MICROPROCESSOR (M

0

MPC8313CVRADDB

MPC8313CVRADDB

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 400MHZ, CMOS, PBGA516

100

MPC8569VTANKGB

MPC8569VTANKGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 800MHZ, CMOS, PBGA783

357

MPC8349VVAGDB

MPC8349VVAGDB

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCH SOC

8

BSC9131NLN1HHHB

BSC9131NLN1HHHB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ QONVERGE MULTICORE BASEBAN

15

MPC8248VRTMFA

MPC8248VRTMFA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

6217

MPC859DSLVR50A

MPC859DSLVR50A

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

0

P2010NSE2KHC

P2010NSE2KHC

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32-BIT POWER ARCH SOC, 10

0

MC68360VR33L

MC68360VR33L

Freescale Semiconductor, Inc. (NXP Semiconductors)

QUICC COMMUNICATIONS CONTROLLER,

308

MPC8343CZQADDB

MPC8343CZQADDB

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC II PRO PROCESSOR

151

MC68HC001EI10

MC68HC001EI10

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 10MHZ, CMOS, PQCC68

625

MC9328MX21CVK

MC9328MX21CVK

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, 266MHZ,

1672

MPC8543VTANGD

MPC8543VTANGD

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 800MHZ, PBGA783

311

MPC860SRCVR66D4

MPC860SRCVR66D4

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

8

MPC8536EAVTAULA

MPC8536EAVTAULA

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1333MHZ, PBGA783

73

P1013NSE2MHB

P1013NSE2MHB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32 BIT POWER ARCH SOC, 1.

42

MPC8247CZQTIEA

MPC8247CZQTIEA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

6

MPC8536CVTAKG

MPC8536CVTAKG

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 600MHZ, PBGA783

35

MC9S12XDT512VPV

MC9S12XDT512VPV

Freescale Semiconductor, Inc. (NXP Semiconductors)

16-BIT, FLASH, CPU12 CPU, 40MHZ

460

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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