Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74LS47NS

SN74LS47NS

Texas Instruments

IC BCD-7 SEG DECODER/DRVR 16SO

10874

DLP2010NIRFQJ

DLP2010NIRFQJ

Texas Instruments

0.2 WVGA NEAR-INFRARED DMD,

11

DLPC350ZFF

DLPC350ZFF

Texas Instruments

IC DIGITAL CONTROLLER 419BGA

10

SN74LS37NS

SN74LS37NS

Texas Instruments

IC GATE NAND 4CH 2-INP 14-SO

9750

SLC320AD535PM-MCI

SLC320AD535PM-MCI

Texas Instruments

SLC320AD535PM-MCI

0

5962-8751701

5962-8751701

Texas Instruments

BINARY COUNTER, LS SERIES, ASYNC

661

SN74ALS20ANS

SN74ALS20ANS

Texas Instruments

IC GATE NAND 2CH 4-INP 14-SO

12043

OPA2349EA-1/3K

OPA2349EA-1/3K

Texas Instruments

SUBM-MICRO POWER DUA

1466

SN74LS09NS

SN74LS09NS

Texas Instruments

IC GATE AND 4CH 2-INP 14-SO

3150

SN74LS243NS

SN74LS243NS

Texas Instruments

BUS XCVR SINGLE 4-CH 3-ST 14-PIN

2050

CD4518BNS

CD4518BNS

Texas Instruments

DECADE COUNTER, 4000/14000/40000

0

SN74ALS642A-1DB

SN74ALS642A-1DB

Texas Instruments

BUS XCVR SINGLE 8-CH OPEN COLLEC

0

SN74ABT373NS

SN74ABT373NS

Texas Instruments

BUS DRIVER, ABT SERIES, 1-FUNC,

6080

5962-8944101VCA

5962-8944101VCA

Texas Instruments

ISOLATED FEEDBACK GENERATOR, CDI

60

OPA2353EA

OPA2353EA

Texas Instruments

OPERATIONAL AMPLIFIER, 2 FUNC, 1

0

SN74BCT541ADB

SN74BCT541ADB

Texas Instruments

BUFF/DVR TRI-ST 8BIT 20SSOP

454

SN74LVTH273NS

SN74LVTH273NS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

10920

DLP550JEFYA

DLP550JEFYA

Texas Instruments

IC DIG MICROMIRROR DEV 149CPGA

0

SN74AS151NS

SN74AS151NS

Texas Instruments

IC DATA SELECT/MUX 1-8 16SO

2000

SN74ALS520NS

SN74ALS520NS

Texas Instruments

IC COMPARATOR IDENTITY 8B 20SO

8880

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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