Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74LS42NS

SN74LS42NS

Texas Instruments

IC 4-LINE BCD/DEC DECOD 16SO

4050

TLV0831C

TLV0831C

Texas Instruments

IC 8 BIT 49 KSPS ADC S/O 8-SOIC

800

SN74LVCC3245ADB

SN74LVCC3245ADB

Texas Instruments

OCTAL BUS TRANSCEIVER WITH ADJUS

0

SN74LS157NS

SN74LS157NS

Texas Instruments

IC QUAD 2-1 SEL/MUX 16SO

0

SN74LVTH543NS

SN74LVTH543NS

Texas Instruments

IC REGISTERED TRANSCVR 24SO

2890

DLP7000BFLP

DLP7000BFLP

Texas Instruments

IC DIG MICROMIRROR DEV 203LCCC

0

SN74ALS86NS

SN74ALS86NS

Texas Instruments

IC GATE XOR 4CH 2-INP 14-SO

3850

SN74AHCT08NS

SN74AHCT08NS

Texas Instruments

IC GATE AND 4CH 2-INP 14-SO

14700

DLPR410YVA

DLPR410YVA

Texas Instruments

DLPR410 PROM FOR DISCOVERY 4100

0

SN74ALS374ANS

SN74ALS374ANS

Texas Instruments

D-TYPE POS TRG SNGL 20SO

2600

SN74ALS138ADBR

SN74ALS138ADBR

Texas Instruments

DECODER/DEMULTIPLEXER SINGLE 3-T

7000

SN74AVCA406DGG

SN74AVCA406DGG

Texas Instruments

IC VOLT TRANSL SD MMC 48TSSOP

2423

SN74ABT273DB

SN74ABT273DB

Texas Instruments

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

4970

SN74LS27NS

SN74LS27NS

Texas Instruments

IC GATE NOR 3CH 3-INP 14-SO

19200

SN74ALS38BNS

SN74ALS38BNS

Texas Instruments

IC GATE NAND 4CH 2-INP 14-SO

17050

SN74LS107ADBR

SN74LS107ADBR

Texas Instruments

FLIP FLOP JK-TYPE NEG-EDGE 2-ELE

2000

SN74ALS534ADB

SN74ALS534ADB

Texas Instruments

FLIP FLOP D-TYPE BUS INTERFACE P

0

XTR305IRGWT

XTR305IRGWT

Texas Instruments

IC OUTPUT DRIVER 20FN

282

SN74ALS04BDB

SN74ALS04BDB

Texas Instruments

IC HEX INVERTER 14-SSOP

20400

SN74LS11NS

SN74LS11NS

Texas Instruments

GATE AND 3CH 3-INP 14-SO

11050

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
RFQ BOM Call Skype Email
Top