mukesh
e9cc40f74d
mesh_2d, torus_2d, and mesh_2d_no_wrap accept optional w,h kwargs; sqrt fall-back preserved for square layouts (back-compat tests confirm 4-SIP and 9-SIP square configs still work). sfr_config reads system.sips.w/h from spec and threads dims through to the topology fn. test_allreduce_multidevice CONFIGS switched from 4 SIPs (square) to 6 SIPs: ring_1d_6sip, torus_2d_6sip_2x3, mesh_2d_no_wrap_6sip_2x3. _write_temp_configs writes system.sips.w/h when supplied; _sip_topo_dims reads them back. Latency sweep loop also moved to 6-SIP layouts. Linear-scale plot variants dropped -- only log-scale *.png + summary.csv emitted. Plots in tests/allreduce_latency_plots regenerated. New tests/test_sip_topology_rectangular.py asserts neighbor correctness for 2x3 layouts and back-compat for square fallback. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
35 lines
2.2 KiB
CSV
35 lines
2.2 KiB
CSV
algorithm,sip_topology,n_sips,n_elem,bytes_per_pe,bytes_per_sip,latency_ns
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intercube_allreduce,ring_1d,6,8,16,256,3073.1299999999937
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intercube_allreduce,ring_1d,6,32,64,1024,3079.8799999999947
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intercube_allreduce,ring_1d,6,64,128,2048,3088.879999999992
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intercube_allreduce,ring_1d,6,128,256,4096,3106.8799999999865
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intercube_allreduce,ring_1d,6,512,1024,16384,3225.8799999999865
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intercube_allreduce,ring_1d,6,1024,2048,32768,3391.8799999999865
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intercube_allreduce,ring_1d,6,2048,4096,65536,3723.8799999999865
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intercube_allreduce,ring_1d,6,4096,8192,131072,4387.879999999965
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intercube_allreduce,ring_1d,6,8192,16384,262144,5715.879999999957
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intercube_allreduce,ring_1d,6,16384,32768,524288,8371.879999999932
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intercube_allreduce,ring_1d,6,32768,65536,1048576,13683.879999999903
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intercube_allreduce,torus_2d,6,8,16,256,2190.4799999999923
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intercube_allreduce,torus_2d,6,32,64,1024,2196.479999999993
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intercube_allreduce,torus_2d,6,64,128,2048,2204.4799999999905
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intercube_allreduce,torus_2d,6,128,256,4096,2220.479999999985
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intercube_allreduce,torus_2d,6,512,1024,16384,2325.479999999985
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intercube_allreduce,torus_2d,6,1024,2048,32768,2471.479999999985
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intercube_allreduce,torus_2d,6,2048,4096,65536,2763.479999999985
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intercube_allreduce,torus_2d,6,4096,8192,131072,3347.4799999999777
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intercube_allreduce,torus_2d,6,8192,16384,262144,4515.4799999999705
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intercube_allreduce,torus_2d,6,16384,32768,524288,6851.479999999952
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intercube_allreduce,torus_2d,6,32768,65536,1048576,11523.479999999923
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intercube_allreduce,mesh_2d_no_wrap,6,8,16,256,3508.4249999999993
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intercube_allreduce,mesh_2d_no_wrap,6,32,64,1024,3515.55
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intercube_allreduce,mesh_2d_no_wrap,6,64,128,2048,3525.0499999999975
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intercube_allreduce,mesh_2d_no_wrap,6,128,256,4096,3544.049999999992
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intercube_allreduce,mesh_2d_no_wrap,6,512,1024,16384,3667.049999999992
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intercube_allreduce,mesh_2d_no_wrap,6,1024,2048,32768,3837.049999999992
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intercube_allreduce,mesh_2d_no_wrap,6,2048,4096,65536,4177.049999999992
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intercube_allreduce,mesh_2d_no_wrap,6,4096,8192,131072,4857.049999999959
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intercube_allreduce,mesh_2d_no_wrap,6,8192,16384,262144,6217.049999999945
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intercube_allreduce,mesh_2d_no_wrap,6,16384,32768,524288,8937.049999999937
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intercube_allreduce,mesh_2d_no_wrap,6,32768,65536,1048576,14377.049999999872
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