Specialized ICs

Image Part Number Description / PDF Quantity Rfq
2911ADM/B

2911ADM/B

Rochester Electronics

2911A - SEQUENCER

299

9511A-1DM

9511A-1DM

Rochester Electronics

9511A-1DM

557

TN80C152JA-1-G

TN80C152JA-1-G

Rochester Electronics

TN80C152JA-1-G

373

29825AJC

29825AJC

Rochester Electronics

29825AJC

2595

TE505S16-25QC-G

TE505S16-25QC-G

Rochester Electronics

TE505S16-25QC-G

2423

D8741A

D8741A

Rochester Electronics

8741A - D8741A

179

2914PC

2914PC

Rochester Electronics

2914PC

45

54H73J/C

54H73J/C

Rochester Electronics

54H73J/C

134

54110DM/R

54110DM/R

Rochester Electronics

54110DM/R

866

MC2104L/R

MC2104L/R

Rochester Electronics

MC2104L/R

0

LD87C51FA-1

LD87C51FA-1

Rochester Electronics

PLEASE CONTACT FACTORY FOR TECHN

0

LM7711/BIA

LM7711/BIA

Rochester Electronics

DUAL MARKED (M38510/10302BIA)

0

74ACTQ16244SSC-G

74ACTQ16244SSC-G

Rochester Electronics

74ACTQ16244SSC-G

0

AM79C90JC-G

AM79C90JC-G

Rochester Electronics

AM79C90JC

15293

CY22050KFZXCKA

CY22050KFZXCKA

Rochester Electronics

GENERAL-PURPOSE FLASH PROGRAMMAB

877

AM188EM-33VC\\W

AM188EM-33VC\\W

Rochester Electronics

AM188EM 33VCW

0

MC8094/R

MC8094/R

Rochester Electronics

MC8094/R

0

95C60-16GC

95C60-16GC

Rochester Electronics

95C60-16GC

0

946HM/C

946HM/C

Rochester Electronics

946HM/C

249

54H11DM/C

54H11DM/C

Rochester Electronics

54H11DM/C

500

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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