Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74LS629NS

SN74LS629NS

Texas Instruments

OSC DUAL VCO 20MHZ 16SO

727

LM9822CCWM/NOPB

LM9822CCWM/NOPB

Texas Instruments

ANALOG CIRCUIT, 1 FUNC, PDSO28

0

DLPA3000DPFDR

DLPA3000DPFDR

Texas Instruments

IC DLP PMIC LED DRIVER 100HTQFP

0

SN75ALS174N

SN75ALS174N

Texas Instruments

QUAD DIFFERENTIAL LINE DRIVER

50

SM72441MT/NOPB

SM72441MT/NOPB

Texas Instruments

IC MPPT CONTROLLER 28TSSOP

0

SN74ACT244NS

SN74ACT244NS

Texas Instruments

BUFF/DVR TRI-ST DUAL 20SO

11677

SN74ALS138AN3

SN74ALS138AN3

Texas Instruments

DECODER/DRIVER, ALS SERIES, INVE

3531

SN74ABT377ANS

SN74ABT377ANS

Texas Instruments

D FLIP-FLOP, ABT SERIES, 1-FUNC,

4990

TOS79601KTT

TOS79601KTT

Texas Instruments

TOS79601KTT

0

SN74LVCZ16245ADGG

SN74LVCZ16245ADGG

Texas Instruments

IC BUS TRANSCVR 16BIT 48TSSOP

4170

UC1717SP/883B

UC1717SP/883B

Texas Instruments

STEPPER MOTOR DRIVE CIRCUIT, CER

0

SN74ALS05ADB

SN74ALS05ADB

Texas Instruments

INVERTER HEX 14-SSOP

1710

SN74CB3Q16211DGG

SN74CB3Q16211DGG

Texas Instruments

SW BUS 24BIT FET 56-TSSOP

1225

DLP4710FQL

DLP4710FQL

Texas Instruments

0.47 1080P DMD, LGA-100

0

SN74LV00PWR

SN74LV00PWR

Texas Instruments

NAND GATE, LV/LV-A/LVX/H SERIES,

0

SN74LS38245DB

SN74LS38245DB

Texas Instruments

DECADE COUNTER

7880

SN74ALS574BDBR

SN74ALS574BDBR

Texas Instruments

FLIP FLOP D-TYPE BUS INTERFACE P

9345

SN74ACT04NS

SN74ACT04NS

Texas Instruments

IC INVERTER HEX 14SO

7200

SN74LS628NS

SN74LS628NS

Texas Instruments

OSC VCO 20MHZ 14SO

1950

DLPA200PFP

DLPA200PFP

Texas Instruments

IC DIG MICROMIRROR DEV 80HTQFP

264

Specialized ICs

1. Overview

Specialized ICs (Application-Specific Integrated Circuits, ASICs) are customized microchips designed for specific functions or applications, unlike general-purpose ICs. They optimize performance, power efficiency, and size for targeted tasks, playing a critical role in modern electronics such as telecommunications, automotive systems, and AI accelerators.

2. Main Types and Functional Classification

Type Functional Characteristics Application Examples
ASIC (Application-Specific IC) Custom-designed for a specific application with fixed functionality Smartphones, IoT devices, medical imaging equipment
FPGA (Field-Programmable Gate Array) Reconfigurable logic blocks and interconnects for dynamic functionality 5G base stations, industrial automation, prototyping systems
SoC (System-on-Chip) Integrates CPU, GPU, memory, and peripherals on a single chip Wearable devices, autonomous vehicles, edge computing
ASSP (Application-Specific Standard Product) Standardized ICs for specific applications (not fully customized) Networking switches, display drivers, power management
PLD (Programmable Logic Device) Basic programmable ICs for simple logic operations Consumer electronics, automotive sensors

3. Structure and Composition

A typical Specialized IC includes:

  • Semiconductor Substrate: Silicon wafer with CMOS/BiCMOS processes
  • Transistor Array: Millions to billions of MOSFETs or FinFETs
  • Metal Layers: Multi-layer interconnects for signal routing
  • IP Blocks: Pre-designed modules (e.g., ARM cores, DSP units)
  • Package: BGA, QFN, or flip-chip for thermal/electrical performance

4. Key Technical Specifications

Parameter Description Importance
Power Consumption Measured in watts (W) or milliwatts (mW) Determines battery life and thermal management
Operating Frequency Maximum speed (GHz) for signal processing Impacts system performance and latency
Process Node Manufacturing technology (e.g., 7nm, 5nm) Defines transistor density and energy efficiency
Die Size Physical chip dimensions (mm ) Affects cost and integration level
Thermal Resistance Ability to dissipate heat ( C/W) Crucial for reliability in high-performance applications

5. Application Fields

Main industries and equipment:

  • Telecommunications: 5G modems, optical transceivers
  • Automotive: ADAS sensors, battery management systems
  • Healthcare: MRI scanners, portable diagnostic devices
  • AI/ML: Neural network accelerators, vision processing units
  • Industrial: Smart meters, robotics controllers

6. Leading Manufacturers and Products

Manufacturer Representative Product Application
Intel Stratix 10 FPGA High-performance computing (HPC)
Xilinx Zynq UltraScale+ MPSoC Autonomous driving and AI
Texas Instruments AFE5805 (Analog Front-End) Medical imaging
Qualcomm SM8350 SoC 5G smartphones
STMicroelectronics STM32MP1 (MPU) Industrial IoT

7. Selection Guidelines

Key considerations:

  • Performance Requirements: Match clock speed and throughput to application needs
  • Power Efficiency: Prioritize low-power designs for battery-operated devices
  • Scalability: Choose programmable solutions (e.g., FPGA) for future upgrades
  • Cost: Balance NRE costs vs. volume production economics
  • Compatibility: Ensure package footprint and voltage levels align with system design

8. Industry Trends

Emerging trends include:

  • AI-Optimized ICs: Development of dedicated AI accelerators (e.g., TPUs)
  • Advanced Packaging: Adoption of 2.5D/3D stacking for higher integration
  • Energy Efficiency: Focus on sub-1V operation and RISC-V-based architectures
  • Security Integration: Hardware-based encryption and tamper-proof designs
  • Heterogeneous Computing: Combining CPU/GPU/NPU cores in single SoCs
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