Logic devices fall into two broad categories—fixed logic devices and programmable logic devices. As named, the circuits in fixed logic devices are permanent, and they perform one or a set of functions that cannot be changed once they are manufactured. On the other hand, programmable logic devices (PLDs) are standard finished components that offer customers a wide range of logic capacity, characteristics, speed and voltage parameters, and these devices can be changed at any time to accomplish many different types. The function. This article will take stock of the top 20 hot texts of the electronic enthusiast network programmable logic channel.
Recently we saw an article saying that FPGAs may replace CPUs and GPUs as the main chips in the future of robot development. The article lists a lot of tables and experimental data, which proves that FPGA performance in many areas will be much better than CPU. And predict that FPGAs may replace the current status of CPUs and GPUs in the future. But is this really the case? To figure this out, we must first have a good understanding of both the CPU and the FPGA.
TOP2 When will the monopoly situation of the four major FPGA vendors break?Currently in the global market, Xilinx and Altera still have an absolute monopoly on the technology and market of FPGAs. The two companies account for nearly 90% of the market, with more than 6,000 patents; the remaining market share is dominated by LatTIce and Microsemi, and the two patents also reach more than 3,000. In 2014, Xilinx and Altera's revenues were $2.38 billion and $1.93 billion, respectively. In 2014, LatTIce and Microsemi (FPGA only) revenues were $366 million and $275 million. The top four FPGA market leaders have almost monopolized the market share of FPGAs.
TOP3 FPGA+ARM will accelerate the strategic layout of Industry 4.0As embedded systems become more complex and more powerful, engineers often require very flexible FPGAs in their designs, as well as processors to do some control and use with the operating system. The traditional approach is to use an FPGA chip and a processor chip. But in this model, communication between FPGA and ARM tends to be the bottleneck of the system. Therefore, Xilinx integrates FPGA and ARM inside a single chip.
Application of FPGA chip in TOP4 robotThe rapid development of the intelligent industry and the emergence of industrial robots have largely helped humans reduce their labor. Xilinx series chips are sweeping the entire industry with the potential of the original, with a significant impact. To this end, the electronic enthusiast "Robot Technology Special Issue" invites Xilinx to explore the use of FPGA in robots.
TOP5 stc89c52rc pin diagram stc89c52rc pin description and function descriptionThe STC89C52 is a low-voltage, high-performance COMOS8 microprocessor with 8K bytes of Programmable Readable Memory (FPEROM-Flash Programable and Erasable Read Only Memory). The device is fabricated using ATMEL's dense-non-volatile memory manufacturing technology and is compatible with the industry-standard MCS-51 instruction set and output pins.
TOP6 ten-year development engineer talks about how to learnIt has been more than 10 years since I first contacted FPGA in college. I still remember the excitement when I first completed the digital stopwatch, responder, password lock and other experiments on the EDA experimental platform. At that time, due to the lack of access to the HDL hardware description language, the design was built with the 74 series logic devices in the MAX+plus II schematic environment. Later, when I was a graduate student, I also used Quartus II, FoundaTIon, ISE, and Libero, and I learned the verilogHDL language. I also realized the magical use of verilog in the process of learning. It is a small language that can complete complex schematics. Design, and the portability of the language is much more powerful than the schematic design.
TOP7 Compared to GPU and GPP, FPGA is the future of deep learning?Compared to GPUs and GPPs, FPGAs offer an attractive alternative to meeting the hardware requirements for deep learning. With pipelined parallel computing capabilities and efficient power consumption, FPGAs will demonstrate the unique advantages that GPUs and GPPs do not have in general deep learning applications. At the same time, algorithm design tools are maturing, and it is now possible to integrate FPGAs into commonly used deep learning frameworks. In the future, FPGAs will effectively adapt to the development trend of deep learning, and ensure that related applications and research can be realized freely.
TOP8 How to use FPGA to accelerate machine learning algorithmsCurrently, AI plays an important role in image recognition because of its outstanding performance of CNN (convolution neural network) algorithm. The basic CNN algorithm requires a lot of computation and data reuse, which is very suitable for implementation with FPGA. Last month, Ralph WitTIg (Xilinx CTO Office's Distinguished Engineer) gave a speech of about 20 minutes at the 2016 OpenPower Summit and discussed some of the results of CNN studies at Chinese universities including Tsinghua University.
TOP9 rumors, what is the domestic FPGA? One company claims to be "the only company in the world that independently develops and successfully mass-produces field-programmable logic (FPGA) chips in addition to Silicon Valley in the US"; one company claims that "after 10 years of hard work, it currently has more than 200 patents and hundreds of products. More than 100 of them have been authorized. The company that fills the blank of hardware design and software development in the programmable field of China, and cultivated a large number of technical talents in this field in China, suddenly reported the possibility of bankruptcy. The author interprets the domestic FPGA. The growth process and the gap between Chinese and foreign technology.
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