Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74AHC594NS

SN74AHC594NS

Texas Instruments

SHIFT REGISTER 8BIT 16SO

7350

SN74ABT623NS

SN74ABT623NS

Texas Instruments

BUS TRANSCEIVER DUAL 20SO

11360

SN74LS241NS

SN74LS241NS

Texas Instruments

IC BUFF/DVR 3-ST DUAL 20SO

2680

SN74LS32DBLE

SN74LS32DBLE

Texas Instruments

QUADRUPLE 2-INPUT POSITIVE-OR GA

3000

DLP9000BFLS

DLP9000BFLS

Texas Instruments

IC DIG MICROMIRROR DEV 355CLGA

0

SN100340N

SN100340N

Texas Instruments

SN100340N

0

SN74ALS273DBR

SN74ALS273DBR

Texas Instruments

FLIP FLOP D-TYPE BUS INTERFACE P

6000

DLP9000XBFLS

DLP9000XBFLS

Texas Instruments

IC DIG MICROMIRROR DEV 355CLGA

1

SN74AS163NS

SN74AS163NS

Texas Instruments

IC COUNTER BIN SYNC 4BIT 16SO

3450

SN74AC374NS

SN74AC374NS

Texas Instruments

D-TYPE POS TRG SNGL 20SO

0

SN74LVTH541NS

SN74LVTH541NS

Texas Instruments

IC BUFF/DVR 3-ST OCTAL 20SO

6445

JM38510/50402BRA

JM38510/50402BRA

Texas Instruments

SPLD PAL FAMILY 20-PIN CDIP TUBE

291

AM26C32CDB

AM26C32CDB

Texas Instruments

GP51-04166-92,92/05/13, ANALOG

8068

SN74ALS166DB

SN74ALS166DB

Texas Instruments

IC PAR-LOAD SHIFT REGIST 16-SSOP

3520

SN74ALS576BNS

SN74ALS576BNS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

6095

SN74LS38DB

SN74LS38DB

Texas Instruments

GATE NAND 4CH 2-INP 14SSOP

9200

SN74AS138NS

SN74AS138NS

Texas Instruments

IC DECODER/DEMUX 3-8LINE 16SO

4150

DLP2010AFQJ

DLP2010AFQJ

Texas Instruments

IC DIG MICROMIRROR DEVICE 40CLGA

0

SN74LVT162245ADGG

SN74LVT162245ADGG

Texas Instruments

BUS TRANSCVR 16BIT 48TSSOP

840

SN74F00DBR

SN74F00DBR

Texas Instruments

NAND GATE, F/FAST SERIES, 4-FUNC

888

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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