Embedded - FPGAs (Field Programmable Gate Array)

Image Part Number Description / PDF Quantity Rfq
LFE2-20SE-7QN208C

LFE2-20SE-7QN208C

Lattice Semiconductor

IC FPGA 131 I/O 208QFP

0

LCMXO2-4000HC-6FG484I

LCMXO2-4000HC-6FG484I

Lattice Semiconductor

IC FPGA 278 I/O 484FBGA

0

LCMXO256C-3TN100I

LCMXO256C-3TN100I

Lattice Semiconductor

IC FPGA 78 I/O 100TQFP

1328

LCMXO640E-3TN100I

LCMXO640E-3TN100I

Lattice Semiconductor

IC FPGA 74 I/O 100TQFP

0

LCMXO2-640UHC-4TG144C

LCMXO2-640UHC-4TG144C

Lattice Semiconductor

IC FPGA 107 I/O 144TQFP

0

OR4E02-3BA352C

OR4E02-3BA352C

Lattice Semiconductor

FPGA, 624 CLBS, 201000 GATES

303

LFE5UM5G-45F-8BG554C

LFE5UM5G-45F-8BG554C

Lattice Semiconductor

IC FPGA 245 I/O 554CABGA

60

OR2T04A4T100-DB

OR2T04A4T100-DB

Lattice Semiconductor

FPGA, 100 CLBS, 4800 GATES

1112

LCMXO2-2000ZE-1TG100C

LCMXO2-2000ZE-1TG100C

Lattice Semiconductor

IC FPGA 79 I/O 100TQFP

85

OR2C15A3S240I-DBA1357

OR2C15A3S240I-DBA1357

Lattice Semiconductor

FIELD PROGRAMMABLE GATE ARRAY

257

LFE3-17EA-8LMG328I

LFE3-17EA-8LMG328I

Lattice Semiconductor

IC FPGA 116 I/O 328CSBGA

118

LCMXO2-256HC-5TG100C

LCMXO2-256HC-5TG100C

Lattice Semiconductor

IC FPGA 55 I/O 100TQFP

0

OR2T26A6BA352I-DB

OR2T26A6BA352I-DB

Lattice Semiconductor

FPGA, 576 CLBS, 27600 GATES

713

LFE5U-25F-6BG381I

LFE5U-25F-6BG381I

Lattice Semiconductor

IC FPGA 197 I/O 381CABGA

74

LCMXO2-256HC-6SG48C

LCMXO2-256HC-6SG48C

Lattice Semiconductor

IC FPGA 40 I/O 48QFN

0

LFE2M50E-5FN484C

LFE2M50E-5FN484C

Lattice Semiconductor

IC FPGA 270 I/O 484FBGA

0

LFE2M100E-7FN1152C

LFE2M100E-7FN1152C

Lattice Semiconductor

IC FPGA 520 I/O 1152FBGA

0

LIFCL-40-8MG121C

LIFCL-40-8MG121C

Lattice Semiconductor

IC FPGA CROSSLINK-NX 121CBGA

0

LCMXO3L-2100E-5MG121C

LCMXO3L-2100E-5MG121C

Lattice Semiconductor

IC FPGA 100 I/O 121CSFBGA

0

LFE2M100E-6FN1152I

LFE2M100E-6FN1152I

Lattice Semiconductor

IC FPGA 520 I/O 1152FBGA

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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