ADACS:-Scaling-and-Profiling-notes.md

@@ -90,3 +90,13 @@ ROQ should be a factor of 5-10 faster, but this is not the case. The run only co
 ![roq_8](uploads/dc9f696a409207490fe60f20bf322b23/roq_8.png)
 
 The performance discrepancy is either caused by a slowdown in each individual worker task. Need to confirm if the speedup is achievable in serial.
+
+### Function timing
+The function calls are timed for 5000 iterations using PyInstrument to determine where time is spent during computation.
+
+|          | log_likelihood (total) | calculate_snrs | frequency_domain_strain |
+|----------|------------------------|----------------|-------------------------|
+| Standard | 62.123                 | 35.470         | 22.290                  |
+| ROQ      | 29.995                 | 23.327         | 6.101                   |
+
+In `frequency_domain_strain`, `lal_binary_black_hole` is replaced with `binary_black_hole_roq`, which gives a 3.8x speedup. However, calculating the SNRs in `calculate_snrs` is only 1.4x faster. This limits the speedup, since `calculate_snrs` accounts for over twice as much time as `frequency_domain_strain`.
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