Specialized ICs

Image Part Number Description / PDF Quantity Rfq
R167F035FNR

R167F035FNR

Texas Instruments

TMC371C0B0 PLCC

9240

SN74LS645NS

SN74LS645NS

Texas Instruments

IC BUS TRANSCEIVER 8BIT 20SO

2640

SN74ALS251NS

SN74ALS251NS

Texas Instruments

IC SELECTOR/MUX 1OF8 3ST 16SO

9106

SN74ALS623ANS

SN74ALS623ANS

Texas Instruments

TXRX BUS OCTAL 20SO

3400

SN74AS21NS

SN74AS21NS

Texas Instruments

SN74AS21 DUAL 4-INPUT POSITIVE-A

0

TLE2426IPE4

TLE2426IPE4

Texas Instruments

THE RAIL SPLITTER PRECISION VIRT

100

DLPA3000DPFD

DLPA3000DPFD

Texas Instruments

IC DLP PMIC LED DRIVER 100HTQFP

0

SN74AHC02NS

SN74AHC02NS

Texas Instruments

IC GATE NOR 4CH 2-INP 14-SO

10200

SN74S1052NS

SN74S1052NS

Texas Instruments

IC 16-BIT BUS TERM ARRAY20SO

5160

SN74ALS157ADBR

SN74ALS157ADBR

Texas Instruments

MULTIPLEXER BIPOLAR 8-IN 16-PIN

20000

DLPA2005ERSLT

DLPA2005ERSLT

Texas Instruments

IC DIG MICROMIRROR DEVICE 48FN

171

DLP2000AFQC

DLP2000AFQC

Texas Instruments

IC DMD 0.2 NHD 42CLGA

173

SN74ACT574NS

SN74ACT574NS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

6802

SN74AC32NS

SN74AC32NS

Texas Instruments

OR GATE, AC SERIES, 4-FUNC, 2-IN

11800

SN74ABT273NS

SN74ABT273NS

Texas Instruments

D-TYPE POS TRG SNGL 20SO

0

SN74LVC374ANS

SN74LVC374ANS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

1520

SN74LVTH374DB

SN74LVTH374DB

Texas Instruments

IC D-TYPE POS TRG SNGL 20SSOP

0

SN74LS86ANS

SN74LS86ANS

Texas Instruments

GATE XOR 4CH 2-INP 14-SO

9600

SN74BCT2245NS

SN74BCT2245NS

Texas Instruments

IC TRANSCVR 3ST OCTAL 20SO

280

5962-9326501MCA

5962-9326501MCA

Texas Instruments

PRECISION LOW DROPOUT LINEAR CON

22

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