Why use FPGA for video wall controller?
FPGA stands for field-programmable gate array. That’s quite a mouthful, so let’s start with a basic definition. Essentially, an FPGA is a hardware circuit that a user can program to carry out one or more logical operations. Taken a step further, FPGAs are integrated circuits, or ICs, which are sets of circuits on a chip—that’s the “array” part. Those circuits, or arrays, are groups of programmable logic gates, memory, or other elements.
You might use an FPGA when you need to optimize a chip for a particular workload, or when you are likely to need to make changes at the chip level later on. Uses for FPGAs cover a wide range of areas—from equipment for video and imaging, to circuitry for computer, auto, aerospace applications, in addition to electronics for specialized processing and more. FPGAs are particularly useful for prototyping application-specific integrated circuits (ASICs) or processors. An FPGA can be reprogrammed until the ASIC or processor design is final and bug-free and the actual manufacturing of the final ASIC begins. Intel itself uses FPGAs to prototype new chips.
The New Frontier for FPGAs: Artificial Intelligence
Today, FPGAs are gaining prominence in another field: deep neural networks (DNNs) that are used for artificial intelligence (AI). Running DNN inference models takes significant processing power. Graphics processing units (GPUs) are often used to accelerate inference processing, but in some cases, high-performance FPGAs might actually outperform GPUs in analyzing large amounts of data for machine learning.
Microsoft is already putting Intel FPGA versatility to use for accelerating AI. Microsoft’s Project Brainwave provides customers with access to Intel Stratix FPGAs through Microsoft Azure cloud services. The cloud servers outfitted with these FPGAs have been configured specifically for running deep learning models. The Microsoft service lets developers harness the power of FPGA chips without purchasing and configuring specialized hardware and software. Instead, developers can work with common open-source tools, such as the Microsoft Cognitive Toolkit or TensorFlow AI development framework.
In the face of the fierce and rapid demand challenge of 5G and IoT market for embedded system developers, FPGA has become a popular choice for system development.Through the design framework of FPGA elasticity, for a large number of complicated data operations, such as image signal, sound signal, etc., will help to pursue high elasticity and optimal performance.As more and more embedded platforms begin to provide powerful edge computing capabilities for AI and IoT applications, FPGAs offer higher performance with lower power consumption and greater design flexibility for developers compared to ASICs.
The FPGA market is expected to reach $5.9 billion over the next five years, with an average annual growth rate of 7.6%, according to the study.With Intel and AMD and other large factories continue to promote FPGA technology,iSEMC is constantly committed to innovation and providing smarter products,It provides FPGA with high capacity and high efficiency with low delay, and the high reliability of industrial quality and the most complete specifications in the industry, which is the biggest advantage of iSEMC in the field of Video wall controllor for a long time.
