Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74LS595NS

SN74LS595NS

Texas Instruments

IC SERIAL-IN SHIFT-REG 16SO

2350

SN74LVT245BNS

SN74LVT245BNS

Texas Instruments

IC BUS TRANSCEIVER 8BIT 20SO

25160

SN74AS08NS

SN74AS08NS

Texas Instruments

GATE AND 4CH 2-INP 14-SO

4450

SN74ALS679NS

SN74ALS679NS

Texas Instruments

IC COMPARATOR ADDRESS 12B 20SO

7480

SN74AHC138NS

SN74AHC138NS

Texas Instruments

DECODER/DEMUX 3-8LINE 16SO

14390

SN74ALS621A-1NS

SN74ALS621A-1NS

Texas Instruments

IC TXRX BUS OCTAL 20SO

2200

SN74ALS133NS

SN74ALS133NS

Texas Instruments

NAND GATE 13-IN BIPOLAR 16-PIN S

20200

SN74ACT32NS

SN74ACT32NS

Texas Instruments

IC GATE OR 4CH 2-INP 14-SO

6500

SN74BCT573NS

SN74BCT573NS

Texas Instruments

IC LATCH TRANSP OCTAL D 20SO

3342

SN74LS174DB

SN74LS174DB

Texas Instruments

FLIP FLOP D-TYPE BUS INTERFACE P

2720

SN74LVTH16373ZQLR REEL

SN74LVTH16373ZQLR REEL

Texas Instruments

SN74LVTH16373ZQLR REEL

518

SN74LVC540ADB

SN74LVC540ADB

Texas Instruments

INVERTER 8-INPUT 20SSOP

27160

SN74AC534NS

SN74AC534NS

Texas Instruments

D-TYPE POS TRG SNGL 20SO

0

SN74ALS151DB

SN74ALS151DB

Texas Instruments

MULTIPLEXER BIPOLAR 8-IN 16-PIN

4000

PAD1000YFFT

PAD1000YFFT

Texas Instruments

DLP DMD ANALOG ASIC

0

SN74AHC273DB

SN74AHC273DB

Texas Instruments

D FLIP-FLOP, AHC/VHC/H/U/V SERIE

1960

ADS7834E

ADS7834E

Texas Instruments

ADC, SUCCESSIVE APPROXIMATION, 1

0

SN74ACT00NS

SN74ACT00NS

Texas Instruments

IC GATE NAND 4CH 2-INP 14-SO

14100

DLPA1000YFFR

DLPA1000YFFR

Texas Instruments

IC RGB LED DRIVER 49DSBGA

0

SN74LVC374ADB

SN74LVC374ADB

Texas Instruments

IC D-TYPE POS TRG SNGL 20SSOP

3780

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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