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taichi-dev · Nov 14, 2022 · d734ccd · d734ccd
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diff --git a/docs/lang/articles/faqs/faq.md b/docs/lang/articles/faqs/faq.md
@@ -306,4 +306,4 @@ for i in x:
 
 You can call `ti.sync()`, which is similar to CUDA's `cudaStreamSynchronize()`, in Taichi to synchronize the parallel for loops.
 
-`__syncthreads()` is a block-level synchronization barrier, and Taichi provides a synonymous API `ti.simt.block.sync()`, which for now supports CUDA and Vulkan backends only. However, all block-level APIs are still experimental, and you should use this API only when it relates to SIMT operation synchronization and `SharedArray` reads and writes.
+`__syncthreads()` is a block-level synchronization barrier, and Taichi provides a synonymous API `ti.simt.block.sync()`, which for now supports CUDA and Vulkan backends only. However, all block-level APIs are still experimental, and you should use this API only when it relates to SIMT operation synchronization and `SharedArray` reads and writes.