squall/cutlass
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

[examples] Fix typos in SYRK and TRMM examples (#507)

Browse Source
This commit is contained in:
Jack Kosaian 2022-06-03 22:52:41 -04:00 committed by GitHub
parent 858c735856
commit 0abaac84ea
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 7 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
examples/31_basic_syrk/basic_syrk.cu
View File

@ -37,7 +37,7 @@
the symmetric rank-k update (SYRK) using double-precision doubleing-point arithmetic and assumes the symmetric rank-k update (SYRK) using double-precision doubleing-point arithmetic and assumes
all matrices have column-major layout. all matrices have column-major layout.
The threadblock tile size is chosen as 128x128x8 which offers good performance for large matrices. The threadblock tile size is chosen as 16x32x16 which offers good performance for large matrices.
See the CUTLASS Parallel for All blog post for more exposition on the tunable parameters available See the CUTLASS Parallel for All blog post for more exposition on the tunable parameters available
in CUTLASS. in CUTLASS.
@ -83,7 +83,7 @@ cudaError_t CutlassSsyrkNN(
int ldc) { int ldc) {
// Define type definition for double-precision CUTLASS SYRK with column-major // Define type definition for double-precision CUTLASS SYRK with column-major
// input matrices and 128x128x8 threadblock tile size (chosen by default). // input matrices and 16x32x16 threadblock tile size (chosen by default).
// //
// To keep the interface manageable, several helpers are defined for plausible compositions // To keep the interface manageable, several helpers are defined for plausible compositions
// including the following example for double-precision SYRK. Typical values are used as // including the following example for double-precision SYRK. Typical values are used as

4
examples/32_basic_trmm/basic_trmm.cu
View File

@ -37,7 +37,7 @@
the triangular matrix product (TRMM) using double-precision doubleing-point arithmetic and assumes the triangular matrix product (TRMM) using double-precision doubleing-point arithmetic and assumes
all matrices have column-major layout. all matrices have column-major layout.
The threadblock tile size is chosen as 128x128x8 which offers good performance for large matrices. The threadblock tile size is chosen as 64x64x16 which offers good performance for large matrices.
See the CUTLASS Parallel for All blog post for more exposition on the tunable parameters available See the CUTLASS Parallel for All blog post for more exposition on the tunable parameters available
in CUTLASS. in CUTLASS.
@ -84,7 +84,7 @@ cudaError_t CutlassStrmmNN(
int ldc) { int ldc) {
// Define type definition for double-precision CUTLASS TRMM with column-major // Define type definition for double-precision CUTLASS TRMM with column-major
// input matrices and 128x128x8 threadblock tile size (chosen by default). // input matrices and 64x64x16 threadblock tile size (chosen by default).
// //
// To keep the interface manageable, several helpers are defined for plausible compositions // To keep the interface manageable, several helpers are defined for plausible compositions
// including the following example for double-precision TRMM. Typical values are used as // including the following example for double-precision TRMM. Typical values are used as