JasonWong

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FPGA alternatives during shortages

FPGA Alternatives During Shortages The semiconductor supply disruptions experienced in recent years fundamentally changed how engineers approach FPGA selection. For decades, FPGA design decisions were driven primarily by technical requirements such as logic density, DSP capability, transceiver bandwidth, and power consumption. During periods of supply…

Mid-range FPGA selection guide

Mid-Range FPGA Selection Guide Between entry-level programmable logic devices and high-end data center accelerators lies a category that serves a large portion of the FPGA market: mid-range FPGAs. These devices occupy a practical balance point where logic density, DSP capability, memory resources, transceiver performance, power…

FPGA power consumption comparison

FPGA Power Consumption Comparison Power consumption has become one of the most influential factors in FPGA selection. While logic density, transceiver bandwidth, and DSP performance often receive the most attention during early architecture discussions, thermal constraints, energy efficiency, and operating costs frequently determine whether a…

FPGA logic resource estimation guide

FPGA Logic Resource Estimation Guide One of the most common challenges in FPGA development appears long before HDL coding begins: determining how much logic the design will actually require. Selecting an FPGA that is too small can force a costly redesign, while choosing an oversized…

FPGA selection for communication equipment

FPGA Selection for Communication Equipment Modern communication equipment processes an unprecedented volume of data. From 5G base stations and optical transport networks to industrial gateways, satellite communication terminals, network switches, and radio access equipment, system architects face increasingly demanding requirements for bandwidth, latency, protocol flexibility,…

Low-cost FPGA recommendations

Low-Cost FPGA Recommendations The growing adoption of industrial automation, edge computing, machine vision, smart instrumentation, and industrial networking has expanded the demand for programmable logic devices beyond traditional high-end applications. Not every project requires millions of logic cells or cutting-edge transceiver bandwidth. In fact, a…

FPGA selection for AI edge computing

FPGA Selection for AI Edge Computing Artificial intelligence is increasingly moving away from centralized cloud infrastructure and closer to the point where data is generated. Cameras installed on factory production lines, intelligent traffic systems, autonomous mobile robots, medical imaging equipment, and industrial monitoring devices are…

Best FPGA for industrial automation

Best FPGA for Industrial Automation Industrial automation systems have evolved from isolated programmable logic controllers into highly interconnected networks of motion controllers, machine vision platforms, industrial robots, smart sensors, and edge computing devices. As production lines become increasingly data-driven and real-time requirements continue to tighten,…

FPGA vs MCU decision analysis

FPGA vs MCU Decision Analysis Modern embedded systems increasingly blur the traditional boundaries between programmable logic and software-defined control. A smart factory controller may require deterministic signal processing, high-speed communication, and real-time decision-making simultaneously, leading engineers to evaluate whether a microcontroller (MCU), a field-programmable gate…

Xilinx vs Intel FPGA selection guide

Xilinx vs Intel FPGA Selection Guide Field-programmable gate arrays have become fundamental building blocks in modern digital systems, bridging the gap between fixed-function ASICs and software-programmable processors. Whether deployed in telecommunications infrastructure, industrial automation, aerospace electronics, data centers, medical imaging systems, or high-speed signal processing…

Best MCU for motor control

Best MCU for Motor Control Electric motors are responsible for converting more than half of the world's electrical energy into mechanical motion. From industrial servo systems and variable-frequency drives (VFDs) to electric vehicles, robotics, HVAC equipment, and consumer appliances, motor efficiency and control accuracy increasingly…

MCU memory size selection guide

MCU Memory Size Selection Guide Microcontroller performance is often evaluated through clock frequency, core architecture, or peripheral integration, yet memory sizing remains one of the most underestimated factors in embedded system design. An MCU with insufficient memory may force costly hardware redesigns, while an oversized…

Automotive MCU selection criteria

Automotive MCU Selection Criteria Electronic control units have evolved from isolated controllers handling individual functions to highly interconnected computing platforms responsible for propulsion, safety, body electronics, connectivity, and advanced driver assistance systems. As vehicle architectures become increasingly software-defined, the selection of an automotive microcontroller is…

Low-power MCU buying guide

Low-Power MCU Buying Guide Battery-powered electronics have become increasingly sophisticated, yet the fundamental challenge remains unchanged: maximizing functionality while minimizing energy consumption. Whether deployed in smart meters, industrial wireless sensors, healthcare wearables, environmental monitoring stations, or asset-tracking devices, low-power microcontrollers are expected to deliver years…

MCU selection for IoT applications

MCU Selection for IoT Applications Connected devices have expanded far beyond consumer gadgets. Industrial sensors, smart meters, asset trackers, healthcare monitors, agricultural gateways, and building automation systems all rely on microcontrollers as the foundation of their intelligence. Yet in IoT product development, selecting an MCU…