Embedded - FPGAs (Field Programmable Gate Array)

Image Part Number Description / PDF Quantity Rfq
LFE5U-85F-6BG381I

LFE5U-85F-6BG381I

Lattice Semiconductor

IC FPGA 205 I/O 381CABGA

0

LIF-MD6000-6JMG80I

LIF-MD6000-6JMG80I

Lattice Semiconductor

IC FPGA 37 I/O 80CTFBGA

2675

LCMXO3L-9400E-5BG256I

LCMXO3L-9400E-5BG256I

Lattice Semiconductor

IC FPGA 206 I/O 256CABGA

0

LFE2M100E-6FN900C

LFE2M100E-6FN900C

Lattice Semiconductor

IC FPGA 416 I/O 900FBGA

0

LCMXO2280C-4FTN324C

LCMXO2280C-4FTN324C

Lattice Semiconductor

IC FPGA 271 I/O 324FTBGA

25

OR2T15B7BA256-DB

OR2T15B7BA256-DB

Lattice Semiconductor

FPGA, 400 CLBS, 19200 GATES

483

OR2T15B8BA256-DB

OR2T15B8BA256-DB

Lattice Semiconductor

FPGA, 400 CLBS, 19200 GATES

1931

LFE3-17EA-7LFTN256C

LFE3-17EA-7LFTN256C

Lattice Semiconductor

IC FPGA 133 I/O 256FTBGA

0

OR2C08A4M84-D

OR2C08A4M84-D

Lattice Semiconductor

FPGA, 196 CLBS, 9400 GATES

1546

LFXP2-8E-6TN144C

LFXP2-8E-6TN144C

Lattice Semiconductor

IC FPGA 100 I/O 144TQFP

0

LCMXO3L-4300C-5BG256C

LCMXO3L-4300C-5BG256C

Lattice Semiconductor

IC FPGA 206 I/O 256CABGA

0

LCMXO2-7000HC-4BG256I

LCMXO2-7000HC-4BG256I

Lattice Semiconductor

IC FPGA 206 I/O 256CABGA

88

LFE2M35E-5FN484C

LFE2M35E-5FN484C

Lattice Semiconductor

IC FPGA 303 I/O 484FBGA

25

LCMXO3L-4300C-5BG400I

LCMXO3L-4300C-5BG400I

Lattice Semiconductor

IC FPGA 335 I/O 400CABGA

0

LFXP2-5E-5TN144C

LFXP2-5E-5TN144C

Lattice Semiconductor

IC FPGA 100 I/O 144TQFP

65

LCMXO2-2000HC-4TG144C

LCMXO2-2000HC-4TG144C

Lattice Semiconductor

IC FPGA 111 I/O 144TQFP

0

LFE2-6E-6FN256I

LFE2-6E-6FN256I

Lattice Semiconductor

IC FPGA 190 I/O 256FBGA

90

LFE2M100SE-5FN900C

LFE2M100SE-5FN900C

Lattice Semiconductor

IC FPGA 416 I/O 900FBGA

0

LCMXO2-1200ZE-1UWG36ITR1K

LCMXO2-1200ZE-1UWG36ITR1K

Lattice Semiconductor

IC FPGA MACHXO2 LP 36WLCS

0

LFE2-70E-5FN900C

LFE2-70E-5FN900C

Lattice Semiconductor

IC FPGA 583 I/O 900FBGA

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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