Specialized ICs

Image Part Number Description / PDF Quantity Rfq
CD4585BNS

CD4585BNS

Texas Instruments

MAGNITUDE COMPARATOR, 4000/14000

0

CD4536BNS

CD4536BNS

Texas Instruments

BINARY COUNTER, 4000/14000/40000

0

DLP2010NIRAFQJ

DLP2010NIRAFQJ

Texas Instruments

IC DIG MICROMIRROR DEVICE 40CLGA

0

SN74AVC6T622RGYR

SN74AVC6T622RGYR

Texas Instruments

SN74AVC6T622 AUDIO CODEC AC'97 V

54000

SN74ALS273DB

SN74ALS273DB

Texas Instruments

OCTAL D-TYPE POSITIVE-EDGE-TRIGG

5260

SN74ACT08NS

SN74ACT08NS

Texas Instruments

IC GATE AND 4CH 2-INP 14-SO

4850

SN74ACT241NS

SN74ACT241NS

Texas Instruments

IC BUFF/DVR 3-ST DUAL 20SO

5440

PCI4510GHK

PCI4510GHK

Texas Instruments

PCMCIA BUS CONTROLLER

12543

DLPC200ZEW

DLPC200ZEW

Texas Instruments

IC DIGITAL CONTROLLER 780BGA

0

TPD4S014DSQR

TPD4S014DSQR

Texas Instruments

IC OVERVOLTAGE PROT CTRL 10SON

15

SN300819N

SN300819N

Texas Instruments

SN300819N

0

SN74ABT574ANS

SN74ABT574ANS

Texas Instruments

OCTAL EDGE-TRIGGERED D-TYPE FLIP

4040

SN74BCT25244DB

SN74BCT25244DB

Texas Instruments

BUFFER/LINE DRIVER 8-CH NON-INVE

342

SN74ACT240NS

SN74ACT240NS

Texas Instruments

BUS DRIVER, ACT SERIES, 2-FUNC,

747

SN74S1052DB

SN74S1052DB

Texas Instruments

DIODE, 16BIT SCHOTTKY BARRIER DI

10850

SN74LS259BNS

SN74LS259BNS

Texas Instruments

IC 8BIT ADDRESSBLE LATCH 16SO

0

DLP9500FLN

DLP9500FLN

Texas Instruments

CONSUMER CIRCUIT

1

AM26LS32ACDBR

AM26LS32ACDBR

Texas Instruments

QUAD RECEIVER RS-422/RS-423 16-P

24120

TL-SCSI285MJB

TL-SCSI285MJB

Texas Instruments

FIXED POSITIVE LDO REGULATOR, 2.

0

SN75179BPS-MAAS

SN75179BPS-MAAS

Texas Instruments

ANALOG AUTOMOTIVE

1877

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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