liangfu edited a comment on issue #4392: [VTA] Enable streamlined GEMM execution URL: https://github.com/apache/incubator-tvm/pull/4392#issuecomment-557371295 This PR doesn't intend to reduce cycle count, or any performance improvement. My major intention is to bring successful evaluation of `matrix_multiply_opt.py` and `convolution_opt.py` scripts, so that we can get closer to bring end-to-end support in evaluating resnet18. The reason the evaluation of these scripts failed previously is that > This PR fixed an issue in the streamlined GEMM execution by disabling pipelined adder, which consumes 4 cycles (in case of LOG_BLOCK=4) in addition to the single-cycle fused multiplier-adder. This is much longer than the 4-stage streamline design in the TensorGemm module. Here are the benchmarks from Intel's Timing Analyzer (some entries still need to be updated) | design | area (in ALMs) | fmax (1100mV, slow 100C) | fmax (1100mV, slow -40C) | fmax (1100mV, fast 100C) | fmax (1100mV, fast -40C) | cycle count | | -- | -- | -- | -- | -- | -- | -- | | PipeAdderX4 | 20,419/41,910 (49%) | 71.74 MHz | 73.52 MHz | 109.12 MHz | 135.46 MHz | -- | | PipeAdderX2 AdderX2 | -- | -- | -- | -- | -- | -- | | AdderX4 | 18,186/41,910 (43%) | 60.72 MHz | 58.82 MHz | 92.43 MHz | 114.97 MHz | -- |
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