Embedded - FPGAs (Field Programmable Gate Array)

Image Part Number Description / PDF Quantity Rfq
LFE2-20E-5QN208I

LFE2-20E-5QN208I

Lattice Semiconductor

IC FPGA 131 I/O 208QFP

0

M1A3P250-1VQ100I

M1A3P250-1VQ100I

Roving Networks / Microchip Technology

IC FPGA 68 I/O 100VQFP

0

LCMXO2-1200HC-5TG100C

LCMXO2-1200HC-5TG100C

Lattice Semiconductor

IC FPGA 79 I/O 100TQFP

1

A54SX16P-2VQG100

A54SX16P-2VQG100

Roving Networks / Microchip Technology

IC FPGA 81 I/O 100VQFP

0

A42MX16-1PLG84

A42MX16-1PLG84

Roving Networks / Microchip Technology

IC FPGA 72 I/O 84PLCC

0

M2GL060T-1FCSG325I

M2GL060T-1FCSG325I

Roving Networks / Microchip Technology

IC FPGA 200 I/O 324CSBGA

0

AX1000-1FGG676I

AX1000-1FGG676I

Roving Networks / Microchip Technology

IC FPGA 418 I/O 676FBGA

0

M7A3P1000-1FG256

M7A3P1000-1FG256

Roving Networks / Microchip Technology

IC FPGA 177 I/O 256FBGA

0

A42MX24-2PQG160I

A42MX24-2PQG160I

Roving Networks / Microchip Technology

IC FPGA 125 I/O 160QFP

0

LCMXO2-2000ZE-2FTG256C

LCMXO2-2000ZE-2FTG256C

Lattice Semiconductor

IC FPGA 206 I/O 256FTBGA

0

10AX032E2F29E2SG

10AX032E2F29E2SG

Intel

IC FPGA 360 I/O 780FBGA

0

EP3C16E144C7N

EP3C16E144C7N

Intel

IC FPGA 84 I/O 144EQFP

178

A3PE1500-1FG484

A3PE1500-1FG484

Roving Networks / Microchip Technology

IC FPGA 280 I/O 484FBGA

0

MPF300TS-FCSG536I

MPF300TS-FCSG536I

Roving Networks / Microchip Technology

IC FPGA 300 I/O 536CSPBGA

0

M2GL025-VFG256

M2GL025-VFG256

Roving Networks / Microchip Technology

IC FPGA 138 I/O 256FBGA

207

10M04DCF256I7G

10M04DCF256I7G

Intel

IC FPGA 178 I/O 256FBGA

98

EP4CE22F17C9LN

EP4CE22F17C9LN

Intel

IC FPGA 153 I/O 256FBGA

0

XC7S6-1CPGA196I

XC7S6-1CPGA196I

Xilinx

IC FPGA 100 I/O 196CSBGA

56

LCMXO2-256HC-5TG100I

LCMXO2-256HC-5TG100I

Lattice Semiconductor

IC FPGA 55 I/O 100TQFP

0

10M08SAM153C8G

10M08SAM153C8G

Altera (Intel)

IC FPGA 112 I/O 153MBGA

0

Embedded - FPGAs (Field Programmable Gate Array)

1. Overview

Field Programmable Gate Arrays (FPGAs) are reconfigurable semiconductor devices containing programmable logic blocks and interconnects. They enable hardware-level customization for specific computational tasks, offering flexibility unmatched by ASICs or microprocessors. In modern technology, FPGAs are critical for applications requiring parallel processing, low-latency execution, and real-time adaptability, such as AI acceleration, 5G communications, and industrial automation.

2. Main Types and Functional Classification

TypeFunctional FeaturesApplication Examples
Low-Cost FPGAsOptimized for budget-sensitive applications with minimal logic densityConsumer electronics, IoT edge devices
High-Performance FPGAsAdvanced DSP blocks, high-speed transceivers (>100 Gbps)Data centers, radar systems
SoC FPGAsIntegrated ARM processors with FPGA fabricIndustrial control, medical imaging
MPSoC FPGAsMulti-core processors with AI acceleration enginesAutonomous vehicles, 5G base stations

3. Architecture and Components

A typical FPGA consists of:

  • Logic Units: Configurable Lookup Tables (LUTs) and flip-flops for implementing Boolean functions
  • Routing Resources: Programmable interconnects for signal pathways
  • I/O Interfaces: Standardized protocols (PCIe, DDR4, Ethernet)
  • Embedded Memory: Block RAM and distributed RAM for data storage
  • Clock Management: Phase-Locked Loops (PLLs) for precise timing control
  • DSP Blocks: Hardened multipliers and accumulators for signal processing

4. Key Technical Specifications

ParameterDescriptionImportance
Logic CellsNumber of configurable logic units (10K 2M+)Determines computational complexity
Max FrequencyOperating speed (100 MHz 1 GHz)Impacts processing throughput
Power ConsumptionThermal Design Power (TDP: 1W 100W)Critical for battery-powered systems
Package TypeBGA, Flip-Chip, System-in-Package (SiP)Affects PCB integration
Memory BandwidthData transfer rate (10 GB/s 1 TB/s)Essential for AI/data-intensive tasks

5. Application Domains

  • Telecommunications: 5G NR base stations, optical network switches
  • Industrial: Motor control, machine vision systems
  • Automotive: ADAS sensor fusion, LiDAR processing
  • Healthcare: MRI image reconstruction, ultrasound beamforming
  • Aerospace: Satellite communication modems, flight control systems

6. Leading Manufacturers and Products

VendorRepresentative ProductKey Features
XilinxZynq UltraScale+ MPSoCQuad-core ARM Cortex-A53 + 1.6M logic cells
IntelStratix 10 GX10M logic elements, 14 Gbps transceivers
LatticeMachXO3DLow-power <100K LUTs with security features
MicrochipPolarFire SoC256-bit RISC-V processor, 4.9M logic cells

7. Selection Guidelines

Key considerations:

  • Evaluate required logic density and I/O bandwidth
  • Balance performance vs. power budget (e.g., automotive vs. data center)
  • Assess toolchain support (Vivado, Quartus, etc.)
  • Consider long-term availability for industrial/medical systems
  • Verify protocol compatibility (e.g., PCIe Gen5, DDR5)

8. Industry Trends

Future directions include:

  • AI-optimized FPGAs with integrated tensor cores
  • 3D-stacked memory integration for >1 TB/s bandwidth
  • Open-source toolchain adoption (e.g., GHDL, Yosys)
  • Heterogeneous computing with hybrid CPU-GPU-FPGA architectures
  • Advanced node processes (5nm/3nm) enabling 10M+ logic cells
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