Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
MC9S12DG128BVFU

MC9S12DG128BVFU

Freescale Semiconductor, Inc. (NXP Semiconductors)

16-BIT, FLASH, 25MHZ PQFP80

11

MPC8535ECVTAKGA

MPC8535ECVTAKGA

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 600MHZ, PBGA783

219

MC68HC001EI8

MC68HC001EI8

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 8MHZ, CMOS, PQCC68

2484

MPC8544VTALF

MPC8544VTALF

Freescale Semiconductor, Inc. (NXP Semiconductors)

32-BIT, 667MHZ, CMOS, PBGA783

36

BSC9131NJE1HHHB

BSC9131NJE1HHHB

Freescale Semiconductor, Inc. (NXP Semiconductors)

IC MPU QORIQ 800MHZ 520FCBGA

0

MPC8543VTANGB

MPC8543VTANGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 800MHZ, PBGA783

1709

P5020NSE1QMB

P5020NSE1QMB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ INTEGRATED COMMUNICATION P

309

MC68EC000AA8

MC68EC000AA8

Freescale Semiconductor, Inc. (NXP Semiconductors)

RISC MPU, 32-BIT, 8MHZ

1161

MPC860DEVR80D4

MPC860DEVR80D4

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

21

MPC8572VTAVNE

MPC8572VTAVNE

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1500MHZ, PBGA1023

445

MC68360CRC25L

MC68360CRC25L

Freescale Semiconductor, Inc. (NXP Semiconductors)

QUICC COMMUNICATIONS CONTROLLER,

110

MC68MH360VR25VL

MC68MH360VR25VL

Freescale Semiconductor, Inc. (NXP Semiconductors)

SERIAL I/O CONTROLLER, 1.25MBPS

37

MPC8250AVRIHBC

MPC8250AVRIHBC

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

0

P2010NSE2HHC

P2010NSE2HHC

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32-BIT POWER ARCH SOC, 80

3

MPC8270VRMI

MPC8270VRMI

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

240

MPC8547VTATGB

MPC8547VTATGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1200MHZ, PBGA783

403

MPC8536EAVTAVL

MPC8536EAVTAVL

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 1500MHZ PBGA783

2

MPC8545EVTANGB

MPC8545EVTANGB

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPU, 32-BIT, 800MHZ, PBGA783

205

MPC860SRZQ66D4557

MPC860SRZQ66D4557

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCHITEC

0

MC9328MXLDVP15R2

MC9328MXLDVP15R2

Freescale Semiconductor, Inc. (NXP Semiconductors)

I.MX21 - MULTIMEDIA APPLICATIONS

6000

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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