Embedded - Microprocessors

Image Part Number Description / PDF Quantity Rfq
AM3894CCYGA120

AM3894CCYGA120

Texas Instruments

IC MPU SITARA 1.2GHZ 1031FCBGA

19

P4040NSN7PNAC

P4040NSN7PNAC

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32-BIT POWER ARCH SOC, 4

168

R7S721000VCFP#AA1

R7S721000VCFP#AA1

Renesas Electronics America

IC MCU 32BIT ROMLESS 256LQFP

0

MCIMX6QP5EYM1AA

MCIMX6QP5EYM1AA

NXP Semiconductors

IC MPU I.MX6QP 1GHZ 624FCBGA

124

MPC8572VTAVNE557

MPC8572VTAVNE557

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR

0

Z84C0020FEG

Z84C0020FEG

Zilog / Littelfuse

MPU, 8-BIT, 20MHZ, CMOS, PQFP44

108

EP9301-CQZR

EP9301-CQZR

Cirrus Logic

IC MPU EP9 166MHZ 208LQFP

0

MPC8358EZQAGDDA

MPC8358EZQAGDDA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC RISC MICROPROCESSOR,

91

FC80960HD80

FC80960HD80

Intel

RISC MPU, 32-BIT, 80MHZ PQFP208

1191

P1013NXE2LFB

P1013NXE2LFB

Freescale Semiconductor, Inc. (NXP Semiconductors)

QORIQ, 32 BIT POWER ARCH SOC, 1G

41

AM3715CBC

AM3715CBC

Texas Instruments

IC MPU SITARA 800MHZ 515FCBGA

0

MPC8321ECZQADDC

MPC8321ECZQADDC

Flip Electronics

RISC MICROPROCESSOR, 32-BIT, 266

0

OMAP3530DCBCA

OMAP3530DCBCA

Texas Instruments

32-BIT, 600MHZ, CMOS, PBGA515

12

MCIMX6Y2DVM09AB

MCIMX6Y2DVM09AB

NXP Semiconductors

I.MX6ULL ROM PERF ENHAN

0

T2080NSN8TTB

T2080NSN8TTB

NXP Semiconductors

QORIQ 64B POWER ARCH 8X 1.8GHZ

14

MPC8315EVRAFDA

MPC8315EVRAFDA

Freescale Semiconductor, Inc. (NXP Semiconductors)

POWERQUICC 32 BIT POWER ARCH SOC

3824

MC68HC000IEI16

MC68HC000IEI16

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, 32 BIT, MC68000

1111

MCIMX257DVM4

MCIMX257DVM4

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROPROCESSOR, CMOS, PBGA400

5040

25PPC750CXEFP4012T

25PPC750CXEFP4012T

IBM25PPC750 - POWERPC 750CX

1068

ATSAMA5D41B-CU

ATSAMA5D41B-CU

Roving Networks / Microchip Technology

BGA GREEN, IND TEMP,MRLB

89

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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