stefan/fsim
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simplify simple, more results, bump kyupy with sim fix

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stefan committed 2026-07-05 10:00:30 +09:00
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commit 1647b41737
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README.md
+24 -1
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@@ -44,14 +44,37 @@ Single-core `SAFSimSimple` on 1024 patterns (baseline):
| OS, CPU, RAM | `tests/c6288.bench` | `polito-itc99-b15-sky130` |
|--------------|---------------------|---------------------------|
| | **2.4k gates, 7.7k SAF** | **17k gates, 24k SAF** |
| MacOS, M3 Max, 32GiB (Stefan) | 1.52G | 1.97G |
| WSL, i7-14650HX, 15GiB (Zhang) | 1.68G | 2.03G |
| Ubuntu, Xeon E5-1650, 251GiB (Nosaka) | 0.94G | 1.18G |
| WSL2, ?, ? (Kawachi) | 0.82G | ? |
| WSL2, i5-8250U, 8GiB (Kawachi) | 0.82G | 0.94G |
| GH Codespace, EPYC 7763 (Kelvin) | 1.03G | ? |
| Ubuntu, i5-8265U, 8GiB (Kelvin) | 0.77G | ? |
Single-core `SAFSimIncremental` on 1024 patterns:
| OS, CPU, RAM | `tests/c6288.bench` | `polito-itc99-b15-sky130` |
|--------------|---------------------|---------------------------|
| | **2.4k gates, 7.7k SAF** | **17k gates, 24k SAF** |
| MacOS, M3 Max, 32GiB (Stefan) | 2.83G | 7.71G |
| WSL, i7-14650HX, 15GiB (Zhang) | ? | ? |
| Ubuntu, Xeon E5-1650, 251GiB (Nosaka) | ? | ? |
| WSL2, i5-8250U, 8GiB (Kawachi) | 1.98G | 4.74G |
| GH Codespace, EPYC 7763 (Kelvin) | ? | ? |
| Ubuntu, i5-8265U, 8GiB (Kelvin) | ? | ? |
Single-core `SAFSimPPSFP` on 1024 patterns:
| OS, CPU, RAM | `tests/c6288.bench` | `polito-itc99-b15-sky130` |
|--------------|---------------------|---------------------------|
| | **2.4k gates, 7.7k SAF** | **17k gates, 24k SAF** |
| MacOS, M3 Max, 32GiB (Stefan) | 14.7G | 77.0G |
| WSL, i7-14650HX, 15GiB (Zhang) | ? | ? |
| Ubuntu, Xeon E5-1650, 251GiB (Nosaka) | ? | ? |
| WSL2, i5-8250U, 8GiB (Kawachi) | 7.33G | 38.1G |
| GH Codespace, EPYC 7763 (Kelvin) | ? | ? |
| Ubuntu, i5-8265U, 8GiB (Kelvin) | ? | ? |
## Notes
kyupy
+1 -1
Submodule kyupy updated: 7a69ce9016...ed9b5c6cd6.
src/fsim/simple.py
+1 -8
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@@ -31,14 +31,7 @@ class SAFSimSimple:
fault_site = fault//2
fault_polarity = fault&1
p.update((fidx+1) / len(faults), f'DS:{len(fclass_DS)} NO:{len(fclass_NO)}')
for bo, bs in batchrange(patterns.shape[1], self.sim.sims):
self.sim.s_assign[:, :bs] = patterns[:, bo:bo+bs]
self.sim.s_to_c()
with self.timers['sim_prop']:
self.sim.c_prop(fault_line=fault_site, fault_model=fault_polarity)
with self.timers['sim_eval']:
self.sim.c_to_s()
syndrome[:, bo:bo+bs] = self.sim.s_result[:,:bs]
self.sim.simulate(patterns, syndrome, fault_line=fault_site, fault_model=fault_polarity)
with self.timers['sim_eval2']:
if np.allclose(golden, syndrome):
fclass_NO.add(fault)