Taishan server acceleration engine includes symmetric encryption, asymmetric encryption and digital signatures, compression and decompression algorithms, for accelerating SSL / TLS applications and data Refined and Popular, can significantly reduce the processing load. Improve processor efficiency. Which of the following statements is correct?

• A.Support symmetric encryption algorithm SM4, and only CBC mode
• B.Support symmetric encryption algorithm SM4, and only CTR mode
• C.Does not support digest algorithm SM3
• D.Support asymmetric algorithm RS Key Sizes 1024/2048/3072/4096

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The Key Sizes 1024 acceleration engine is a hardware acceleration solution provided by the TaiShan200 server based on Huawei Kunpeng 920. It includes symmetric encryption, asymmetric encryption and digital signature, compression and decompression algorithms, used to accelerate SSL/TLS applications and data compression.

• A.True
• B.False

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The applicable scenario of the TaiShan server SSL acceleration solution is to accelerate the asymmetric encryption of the TLS handshake, mainly to uninstall the RAS1024 algorithm.

• A.True
• B.False

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Which of the following description about the BIOS operating process is correct?

• A.Power on>Hardware initialization>CPU load BIOS>Load boot items>POST boot hardware self-check>Process system commands
• B.Power on>CPU load BIOS>Hardware initialization>Load boot items>POST boot hardware self-check>Process system commands
• C.Power on>CPU load BIOS>Hardware initialization>POST boot hardware self-check>Load boot items>Process system commands
• D.Power on>Hardware initialization>CPU load BIOS>POST power-on hardware self-check>Load boot items>Process system commands

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GPU is widely used in the field of machine learning because of its SIMD (Single Instruction Multiple Data) architecture. FPGAs have become popular recently. Which of the following statements about FPGAs and GPUs is correct?

• A.FPGA can program software according to specific application, and its flexibility is much better than GPU.
• B.GPU sometimes is that if the computer needs to be changed, it can be reassembled.
• C.In terms of peak performance, GPU is lower than FPGA.
• D.GPU has few execution units and can only process instructions in a single thread.

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