Intel官方揭示14nm与10nm工艺指令集变动Intel在最新的ISA指令集说明书中，揭示了一个令人意外的情况：在14nm工艺时代，他们增加了AVX512_BF16这一关键矢量神经网络指令，支持bfloat16格式。这种格式在内存中存储效率高，能提升计算速度，已成为深度学习的主流。然而，随着10nm时代的Cooper Lake，尽管有56核心...
Intel官方确认14nm新指令集与10nm的反常变化Intel在最新发布的第38个ISA指令集说明书中，揭示了一个值得注意的动态：在从14nm向10nm过渡期间，他们决定在14nm时代引入关键的AVX512_BF16指令集，这是一种支持bfloat16格式的矢量神经网络指令。这种16位格式能在内存中存储更多数据，提升计算速度，被深度学习...
The BF16 model code path doesn't go through AVX512_BF16 code path by default in windows. When the flag is enabled the following error is faced. The PR does the following : Adding cmake support to...
bf16*bf16->f32 is the one floating-point element type that can perform faster than regular f32 on widely-available x86 CPUs, as AVX-512-BF16 is available on Intel Cooper Lake and AMD Zen4 microarch...
bf16*bf16->f32 is the one floating-point element type that can perform faster than regular f32 on widely-available x86 CPUs, as AVX-512-BF16 is available on Intel Cooper Lake and AMD Zen4 microarchitectures. By contrast, AVX-512-FP16 is only available on