You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
@@ -342,10 +343,6 @@ Related discussion here [#4976](https://github.com/deepmodeling/abacus-develop/i
342
343
343
344
Notice: `icc` and `icpc` from Intel Classic Compiler of Intel-oneAPI are not supported for2024.0 and newer version. And Intel-OneAPI 2023.2.0 can be foundin QE website. You need to download Base-toolkit forMKL and HPC-toolkit for MPi and compiler for Intel-OneAPI 2023.2.0, whilein Intel-OneAPI 2024.x, only the HPC-toolkit is needed.
344
345
345
-
#### Gcc-MKL Issues
346
-
347
-
You cannot use gcc as compiler while using MKL as math library forcompile ABACUS, there will be lots of errorin the lask linking step. See [#3198](https://github.com/deepmodeling/abacus-develop/issues/3198)
348
-
349
346
#### AMD AOCC-AOCL problem
350
347
351
348
Use AOCC-AOCL to compile dependencies is permitted and usually get boosting in ABACUS efficiency. But you need to get rid of `flang`while compiling ELPA. Toolchain itself helps you make this `flang` shade in default of `aocc-aocl` toolchain, and you can manually use `flang` by setting `--with-flang=yes`in`toolchain_aocc-aocl.sh` to have a try, while toolchain helps you to bypass the possible errors in compiling ELPA with AOCC-AOCL, but the computing efficiency will be relatively lower compared to `gnu` or `gcc-aocl` toolchain. There are some issues related to the numeric instability of ABACUS compiled by AOCC-AOCL toolchain, see [#6420](https://github.com/deepmodeling/abacus-develop/issues/6420)
0 commit comments