even better more structured throughput scheduling

plot adjustments
validation adjustments

validation/networks/pimcomp_models/README.md

@@ -13,9 +13,9 @@ operations, standalone commands, configuration layout, and GA/OpenMP controls.
 |---|---|---|
 | `resnet18/` | ResNet-18 v1, `1x3x224x224` | [ONNX Model Zoo resnet18-v1-7](https://huggingface.co/onnxmodelzoo/resnet18-v1-7); symlink to `../resnet18/depth_68/resnet18_depth_68.onnx`. |
 | `resnet34/` | ResNet-34 v1, `1x3x224x224` | [ONNX Model Zoo resnet34-v1-7](https://huggingface.co/onnxmodelzoo/resnet34-v1-7); symbolic batch fixed to 1. |
-| `googlenet/` | GoogLeNet, `1x3x224x224` | [ONNX Model Zoo googlenet-12](https://huggingface.co/onnxmodelzoo/googlenet-12). |
+| `googlenet/` | GoogLeNet, `1x3x224x224` | [ONNX Model Zoo googlenet-12](https://huggingface.co/onnxmodelzoo/googlenet-12), with only its two LRN nodes bypassed. |
 | `vgg8/` | VGG-8 reconstruction, `1x1x28x28` | Six convolution and two fully connected layers with deterministic random weights. |
-| `yolo11n/` | YOLO11n detection, `1x3x640x640` | Derived from `../yolo11n/depth_51/yolo11n_depth_51.onnx`. |
+| `yolo11n/` | YOLO11n detection, `1x3x640x640` | Uses `../yolo11n/depth_51/yolo11n_depth_51.onnx`; this directory retains the historical Softmax-free variant. |
 
 The paper's checkpoints were not published. The three Model Zoo networks
 produce frontend graphs matching Pimcomp's bundled JSON graphs. VGG-8 is
@@ -23,12 +23,25 @@ suitable for compiler/simulator comparison, not paper-accuracy reproduction.
 The paper's MNIST description for ResNet-18 differs from the released graph's
 ImageNet input shape.
 
-Dedicated performance models change the original computation:
+The current GoogLeNet comparison uses `googlenet/googlenet-12-no-lrn.onnx`.
+Only its two LRN nodes are bypassed because Raptor cannot lower LRN to PIM.
+Its terminal Softmax, output `prob_1`, weights, and other operations are retained.
+The native reference uses this same graph. VGG8 and both ResNet graphs have no
+removed operators; ResNet-34 fixes the symbolic batch size to one.
+
+Historical performance models change the original computation:
 
 - `googlenet/googlenet-12-pimsim-nn.onnx` removes two LRN nodes and terminal
   Softmax, which Pimcomp does not schedule.
-- `yolo11n/yolo11n-pimsim-nn.onnx` removes two Softmax nodes unsupported by
-  Pimsim. Use the original YOLO model for functional validation.
+- `yolo11n/yolo11n-pimsim-nn.onnx` removes two internal Softmax nodes. It remains
+  available for reproducing historical measurements.
+
+The current YOLO comparison uses `../yolo11n/depth_51/yolo11n_depth_51.onnx`,
+including both Softmax operations. Its native reference uses the same full model.
+The functional simulator executes Softmax. Pimsim-nn skips `vsoftmax` before
+fetch, and Raptor's PIM queue estimator omits the same instruction cost.
+Timing and energy exclude Softmax work; they do not model hardware Softmax support.
+Comparison artifacts remain under this suite's `yolo11n/artifacts/` directory.
 
 Model SHA-256 checksums:
 
@@ -36,6 +49,7 @@ Model SHA-256 checksums:
 788088b908e233d924c7c26b997e89ee861290c7bc56783a306e8201d79aac8f  resnet18/resnet18-v1-7.onnx
 c3231061d081bdd47884137b02134f85142752a39e87263c529cd14ed242b096  resnet34/resnet34-v1-7.onnx
 c99c507058eaf41de8723408fdda7db8325cb57f0a89f2ee07a716d6e963e14e  googlenet/googlenet-12.onnx
+c960c195953423388733cd0e60712cf425ca1f8917e264f5cf98e028752c61cf  googlenet/googlenet-12-no-lrn.onnx
 a26f9e33901c573e60c34a3f0abbb4744fff83e4e0f21b18fc66e20395e72982  googlenet/googlenet-12-pimsim-nn.onnx
 396cdea21e5e7d02c3f26f14d22ef20975171702493f5c5e79b8e0d896e541ef  vgg8/vgg8-mnist-reconstructed.onnx
 229f3975af8933d39aee8d9031d969bff074b69c33e304a78abb35ff0c5f445f  yolo11n/yolo11n-pimsim-nn.onnx