Intel accelerator card realizes video transcoding and stream analysis

With the development of the Internet of Things, more and more devices are connected to the Internet, and the amount of data is also increasing rapidly, and most of the data traffic originates from or ends in the data center. According to Cisco estimates, from 2015 to 2020, global data center IP traffic is expected to increase three times, and the scale of my country's data center IP traffic is expected to reach 8.6ZB by 2020. Faced with such a large amount of data, the data center needs to complete a large amount of data analysis to extract effective information. Coupled with the development of AI technology, the acceleration of data center computing is urgent.

Because FPGAs have both pipeline parallel and data parallel architectures, which have lower latency than GPUs, they are widely used in data center acceleration applications. Intel has also introduced an acceleration card based on Arria 10 FPGA before, and recently launched a new generation of programmable acceleration card (PAC) using Intel Stratix 10 SX FPGA to expand its FPGA acceleration platform product portfolio. According to Sabrina Gomez, Director of Product Marketing of Intel Programmable Solutions Division, “The new generation of Intel PACs using Stratix 10 SX FPGAs supports an ecosystem of design partners who are committed to delivering accelerated IP for a wide range of application workloads. The new generation of Intel PACs is A larger form factor card designed for embedded processing and memory-intensive workloads such as stream analysis and video transcoding."

Intel accelerator card realizes video transcoding and stream analysis

Intel accelerator card realizes video transcoding and stream analysis

Compared with the previous generation of products, Intel PAC using Arria 10 FPGA is single-slot, small in appearance, suitable for back-testing, database acceleration, image processing, artificial intelligence, genomics, finance and other workloads; the new generation of PAC is The dual-slot PCIe card has a larger appearance and higher power consumption, and can support video codec applications and streaming media applications that require higher real-time and memory performance. Intel is working with Mech Computing to develop accelerated IP to achieve faster streaming media analysis.

Regarding the market positioning of the two generations of products, Sabrina Gomez emphasized, “The new generation of PACs has enriched the product portfolio of Intel’s acceleration platforms. The power consumption design is different, and the two complement each other."

Intel accelerator card realizes video transcoding and stream analysis

The acceleration stack for Intel Xeon CPUs and FPGAs supports industry-leading operating systems, virtualization and orchestration software, and a new generation of products can provide software developers with a common interface. Sabrina Gomez explained, "We can provide support from silicon to the orchestration layer. We bring three advantages to data center customers: first, users can generate revenue faster; second, simplified management; third, more Extensive ecosystem support. Through cooperation with OEMs and other IP vendors, we work closely with some operating system vendors, independent software vendors, integrators, and these value-added resellers; in addition, the biggest highlight of the ecosystem is that we can Upload the FPGA driver to the Linux kernel to get a wide range of Linux support. We also support many different operating systems."

Regarding virtualization technology, VMware is generally used as a virtual machine in the data center. Intel cooperates with VMware to put the vShere technology in Intel’s PAC acceleration station, so customers can use Intel’s acceleration card and acceleration station directly. Technologies such as VMware vShere do virtualization. Sabrina Gomez vividly explained, “User A can virtualize a virtual machine A, user B can virtualize a virtual machine B, A can do image transcoding or video transcoding through Vmware, and B can do stream analysis through Vmware. The machine can virtualize different users to use the PAC accelerator card at the same time, that is, multiple users use one card at the same time."

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