Big Data and Performance Asymmetry: The Intel FPGA

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Tencent Digital (Zhou Shuo) At 1 o'clock on the August 19th, Beijing time, the Intel IDF conference came to the third day schedule. In accordance with past IDF reporting practices, I usually write a concluding article on the last day, reviewing one of the core points of the entire IDF. But this time, the IDF schedule gave me a feeling of compactness and abundance. In particular, on the last day of the FPGA, which concerns the industry, obviously this is not to try to convene the meeting for three days, but it is intended to be the finale. CEO Krishna personally demonstrated its weight.

For the average consumer may not know what this FPGA is, but in the future it will be inseparable from the data shuttled between devices, and is closely related to smart things. To know that Intel has spent a full 16.7 billion US dollars to win this technology, the value behind it can be imagined.

Big data processing, high-performance computing can not do without FPGA acceleration

The official explanation of FPGA comparison is "Field Programmable Gate Array", which not only solves the defect of custom circuit, but also overcomes the shortcomings of the limited number of original programmable devices. It sounds more garish, but it actually suffices to make it clear to FPGAs that the tens of thousands of words are sufficient. But we can simply understand the role of the FPGA: its high power consumption but parallel features will make the calculations eliminate the need for processors to repeat a single cycle, accelerate the middle of the high-performance computing process, and thus make high-performance computing in the face of heavy data pressure. Get excellent performance and power ratio. As an FPGA representative company, both Altera and Xilinx have claimed that FPGA-based cloud computing performance can theoretically be 10 to 100 times more efficient than an ordinary processor.

The computing acceleration demonstrated by FPGAs for large data processing and high-performance computing is a fact that reflects the combination of FPGAs with the vision of smart cities and unmanned driving announced by Intel on the previous day. It can be said that FPGA technology will be Intel's future layout. These areas are more relaxed and truly play a vital role.

Including such hot areas as smart hardware, smart cities, and unmanned driving, 50 billion devices will be connected to the Internet by 2020, and the amount of data generated is astonishing. In the era of post-Moore’s Law, the evolution of Moore's Law is becoming more and more difficult. Compared with the bursting of data volume, the single performance improvement of the processor is relatively limited, which forms an asymmetry and it will be difficult to meet the future. Extensive demand for intensive computing. It is based on this that last year Intel took a $16.7 billion acquisition of Altera, one of the two core companies in the FPGA space, and integrated it completely into the Intel internal architecture, becoming the PSG department, used by Intel, and used for the future.

Ke Zaiqi said: "Intel plans to increase investment in products and technologies to increase revenue, and FPGA is a key factor in our success."

Intel's introduction of FPGA is a powerful combination of technologies

For decades, Intel itself is known for its x86 processor and owns Xeon series server processors. Intel's servers are competitive, both in terms of performance and market share. However, even if the processor has obvious advantages in the face of similar products in the market, it will still be constrained by Moore's Law. The use of FPGA greatly accelerates the efficiency of high performance computing. At the same time as Intel’s acquisition of Altera, Altera has been working hard for more than 10 years, focusing on Internet of Things, Internet connectivity, and artificial intelligence. Altera has shipped more than 55 million FPGAs over the past 10 years, and over 95% of cell phone calls and data in the existing market are implemented through Altera's FPGAs. In the field of cloud computing (mainly used for acceleration and analysis), Altera holds more than 80% of the market.

The IDF conference Intel announced that it will focus on the next-generation Intel Xeon Phi processor product family for high-performance machine learning and artificial intelligence use! Codenamed Knights Mill, it is optimized for scale-out analysis and will include key enhancements for deep learning training.

Intel also officially announced the launch of Altera Stratix 10 FPGAs at this communication meeting. In the virtuous cycle of Intel's growth, FPGAs will act as "accelerators" and effectively improve the efficiency of big data-intensive computing. Altera Stratix 10 is the first FPGAs to use Intel's 14nm Tri-Gate process to provide data center needs with large capacity and memory bandwidth. This product will also be shipping in the fourth quarter of 2016.

In the follow-up, Intel will also have SoC FPGA products for big data. These products will help Intel to further establish its technical advantages on the basis of existing data services. This move is expected to enable Intel's ultra-large-scale data throughput that will come in the future. The future of data analysis and calculation has won the absolute opportunity.

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