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--- faq:cuda_support [2014/04/06 14:32] – vondele
+++ faq:cuda_support [2022/03/09 13:17] (current) – oschuett
@@ Line 1: / Line 1: @@
 ====== Which parts of CP2K are CUDA-accelerated? ======
-  * Anything that uses ''dbcsr_multiply'', i.e. sparse matrix multiplication, when compiled with ''%%-D__DBCSR_CUDA%%''. This benefits in particular the [[doi>10.1021/ct200897x| linear scaling DFT]] code. See also [[http://dbcsr.cp2k.org | the DBCSR project.]]
+Have a look at our [[:gpu | GPU page]] as well as [[howto:compile_with_cuda | this howto ]].
-  * If linked against an accelerated scalapack/blas library (in particular pdgemm/pdsyrk/dgemm) that executes these calls on the GPU. The impact of this is most visible for MP2 and RPA calculations. On the hybrid Cray XC30 linking against libsci_acc makes this happen.
-  * FFTs, when compiled with ''%%-D__PW_CUDA%%''.