yxsamliu wrote:
Here is the size distribution of individual code object file (each code object
file is for one GPU arch, and a fat binary contains a bunch of code object
files, therefore the optimal compression parameter is mostly related to code
object file size ).
| Bin Size | Count | Percentage | Cumulative Percentage | Example File
|
|---------------|-------|------------|-----------------------|---------------------------------------------------------------------------------------------------------------|
| 0-16K | 961 | 12.31% | 12.31% |
`librocrand.so#offset=27172864&size=0`
|
| 16K-32K | 602 | 7.71% | 20.03% |
`librocalution_hip.so#offset=35438592&size=27264`
|
| 32K-64K | 1463 | 18.75% | 38.77% |
`librocalution_hip.so#offset=32391168&size=37808`
|
| 64K-128K | 1134 | 14.53% | 53.31% |
`libMIOpen.so#offset=566800384&size=98984`
|
| 128K-256K | 897 | 11.49% | 64.80% |
`libMIOpen.so#offset=562827264&size=141624`
|
| 256K-512K | 977 | 12.52% | 77.32% |
`libMIOpen.so#offset=659791872&size=504120`
|
| 512K-1M | 482 | 6.18% | 83.50% |
`libMIOpen.so#offset=567713792&size=545032`
|
| 1M-2M | 443 | 5.68% | 89.17% |
`libMIOpen.so#offset=569909248&size=1134632`
|
| 2M-4M | 412 | 5.28% | 94.45% |
`librocrand.so#offset=27172864&size=2650696`
|
| 4M-8M | 251 | 3.22% | 97.67% |
`librocblas.so#offset=1671168&size=5344160`
|
| 8M-16M | 136 | 1.74% | 99.41% |
`librocblas.so#offset=389632000&size=15117200`
|
| 16M-32M | 41 | 0.53% | 99.94% |
`librccl.so#offset=135168&size=20252464`
|
| 32M-64M | 1 | 0.01% | 99.95% |
`TensileLibrary_Type_HH_HPA_Contraction_l_Alik_Bljk_Cijk_Dijk_gfx90a.co`
|
| 64M-128M | 4 | 0.05% | 100.00% |
`TensileLibrary_Type_HH_HPA_ExperimentalGrid_Contraction_l_Ailk_Bjlk_Cijk_Dijk_CU104_gfx90a.co`
|
>From the table we can see 99.9% of code object files are below 32MB. Also all
>code object files are below 128MB.
https://github.com/llvm/llvm-project/pull/83605
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