Embedded - FPGAs (Field Programmable Gate Array)

Image Part Number Description / PDF Quantity Rfq
LFE2-12SE-5FN484I

LFE2-12SE-5FN484I

Lattice Semiconductor

IC FPGA 297 I/O 484FBGA

0

LFX200EB-03F516I

LFX200EB-03F516I

Lattice Semiconductor

FPGA, 676 CLBS, 210000 GATES

136

LCMXO2-2000HE-4TG100C

LCMXO2-2000HE-4TG100C

Lattice Semiconductor

IC FPGA 79 I/O 100TQFP

111

LCMXO3L-6900C-5BG256I

LCMXO3L-6900C-5BG256I

Lattice Semiconductor

IC FPGA 206 I/O 256CABGA

0

LCMXO2-7000HE-5FG484I

LCMXO2-7000HE-5FG484I

Lattice Semiconductor

IC FPGA 334 I/O 484FBGA

0

ICE40LP4K-CM225

ICE40LP4K-CM225

Lattice Semiconductor

IC FPGA 167 I/O 225UCBGA

0

OR3T206T144-DB

OR3T206T144-DB

Lattice Semiconductor

FPGA, 144 CLBS, 36000 GATES

287

LFE2-70E-5FN672C

LFE2-70E-5FN672C

Lattice Semiconductor

IC FPGA 500 I/O 672FPBGA

0

LCMXO2-2000HE-5BG256I

LCMXO2-2000HE-5BG256I

Lattice Semiconductor

IC FPGA 206 I/O 256CABGA

0

LFE5UM-85F-7BG756C

LFE5UM-85F-7BG756C

Lattice Semiconductor

IC FPGA 365 I/O 756CABGA

0

LCMXO3L-4300C-5BG324C

LCMXO3L-4300C-5BG324C

Lattice Semiconductor

IC FPGA 279 I/O 324CABGA

153

LCMXO256C-3TN100C

LCMXO256C-3TN100C

Lattice Semiconductor

IC FPGA 78 I/O 100TQFP

1689

LFE2M70SE-5FN900I

LFE2M70SE-5FN900I

Lattice Semiconductor

IC FPGA 416 I/O 900FBGA

0

LCMXO3LF-9400C-5BG484I

LCMXO3LF-9400C-5BG484I

Lattice Semiconductor

IC FPGA 384 I/O 484CABGA

0

LCMXO3L-4300E-5UWG81CTR1K

LCMXO3L-4300E-5UWG81CTR1K

Lattice Semiconductor

IC FPGA 63 I/O 81WLCSP

373

ICE5LP4K-CM36ITR50

ICE5LP4K-CM36ITR50

Lattice Semiconductor

IC FPGA 26 I/O 36UCFBGA

15

LFXP2-8E-5TN144I

LFXP2-8E-5TN144I

Lattice Semiconductor

IC FPGA 100 I/O 144TQFP

44

LFE2-6E-5TN144I

LFE2-6E-5TN144I

Lattice Semiconductor

IC FPGA 90 I/O 144TQFP

0

LFE5U-45F-6BG381I

LFE5U-45F-6BG381I

Lattice Semiconductor

IC FPGA 203 I/O 381CABGA

0

LCMXO2-4000ZE-1BG256C

LCMXO2-4000ZE-1BG256C

Lattice Semiconductor

IC FPGA 206 I/O 256CABGA

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
RFQ BOM Call Skype Email
Top