Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74ALS32DBR

SN74ALS32DBR

Texas Instruments

OR GATE 4-ELEMENT 2-IN BIPOLAR 1

92000

CAXC4T774QRSVRQ1

CAXC4T774QRSVRQ1

Texas Instruments

AUTOMOTIVE 4-BIT 2-SUPPLY BUS TR

470

OPA2356AIDGK

OPA2356AIDGK

Texas Instruments

OPERATIONAL AMPLIFIER, 2 FUNC, 1

0

DLP3010AFQK

DLP3010AFQK

Texas Instruments

IC DIG MICROMIRROR DEVICE 57CLGA

0

DLP3010LCFQK

DLP3010LCFQK

Texas Instruments

IC DIG MICROMIRROR DEVICE

0

TCAN4551RGYRQ1

TCAN4551RGYRQ1

Texas Instruments

CAN-FD TO SPI

3435

SN74LS139ANS

SN74LS139ANS

Texas Instruments

IC DECODER/DEMUX DUAL 2-4 16SO

1400

TPS2053

TPS2053

Texas Instruments

TRIPLE POWER-DISTRIBUTION SWITCH

1370

SN74BCT244DB

SN74BCT244DB

Texas Instruments

BUFF/DVR TRI-ST DUAL 20SSOP

280

SN74LVT16244BDGG

SN74LVT16244BDGG

Texas Instruments

IC BUFF/DVR TRI-ST 16BIT 48TSSOP

345

SN74AHC00NS

SN74AHC00NS

Texas Instruments

GATE NAND 4CH 2-INP 14-SO

22050

SN74LS638A-1DW

SN74LS638A-1DW

Texas Instruments

BUS TRANSCEIVER, LS SERIES, 1-FU

0

CD4030BNS

CD4030BNS

Texas Instruments

XOR GATE, 4000/14000/40000 SERIE

700

SN74AS11NS

SN74AS11NS

Texas Instruments

IC GATE AND 3CH 3-INP 14-SO

24800

DLPA3005DPFD

DLPA3005DPFD

Texas Instruments

IC DLP PMIC LED DRIVER 100HTQFP

0

SN74S37NS

SN74S37NS

Texas Instruments

GATE NAND 4CH 2-INP 14-SO

0

SN74LS20NS

SN74LS20NS

Texas Instruments

IC GATE NAND 2CH 4-INP 14-SO

23950

SN74ALS620ANS

SN74ALS620ANS

Texas Instruments

BUS XCVR SINGLE 8-CH 3-ST 20-PIN

4854

SN74LS247NS

SN74LS247NS

Texas Instruments

IC BCD-7 SEG DECODER/DVR 16SO

1200

PSM430E325AFZ

PSM430E325AFZ

Texas Instruments

PSM430E325AFZ

0

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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