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Co-authored-by: Alejandro Acosta <[email protected]>

README.md

@@ -42,7 +42,7 @@ and improves code composability and readability. More documentation specific to
 In addition to GEMMs, CUTLASS implements high-performance convolution via the implicit GEMM algorithm. Implicit GEMM is the formulation of a convolution operation as a GEMM thereby taking advantage of CUTLASS's modular GEMM pipeline. This allows CUTLASS to build convolutions by reusing highly-optimized GEMM components.
 
 ## CUTLASS with SYCL
-CUTLASS 3.0 API now also supports SYCL, and can run on Nvidia(upto the Ampere architecture) and Intel Xe Core architecture GPUs using the SYCL backend using the Intel open source `DPC++` compiler.
+CUTLASS 3.0 API now also supports SYCL, and can run on Nvidia(upto the Ampere architecture) and Intel PVC GPUs using the SYCL backend using the Intel open source `DPC++` compiler.
 The support is currently limited to GEMMs only. See [Quick Start Guide](./media/docs/build/building_with_sycl_support.md) on how to build and run
 examples using the SYCL backend.
 

media/docs/build/building_with_sycl_support.md

@@ -68,11 +68,10 @@ CUTLASS Examples <br>
   * Example 14
   * We also provide various SYCL examples for the Intel Data Center Max range of GPUs
 
-## SYCL Supported Architectures and APIs
+## SYCL Supported Architectures
 At the time of writing, the SYCL backend supports all Nvidia architectures till Ampere, and the 
 Intel Data Center Max series of GPUs is supported.
 
-We support the `CollectiveMMA` and the collective builder APIs for the same.
 
 # References
 

media/docs/quickstart.md

@@ -36,7 +36,8 @@ $ mkdir build && cd build
 
 $ cmake -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang -DCUTLASS_ENABLE_SYCL=ON -DDPCPP_SYCL_TARGET=nvptx64-nvidia-cuda -DDPCPP_SYCL_ARCH=sm_80 .. # compiles for the NVIDIA Ampere GPU architecture
 
-$ cmake -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang -DCUTLASS_ENABLE_SYCL=ON -DDPCPP_SYCL_TARGET=intel_gpu_pvc .. # compiles for the Intel Xe Core Architecture
+# compiles for the Intel PVC Architecture
+cmake -DCUTLASS_ENABLE_SYCL=ON -DDPCPP_SYCL_TARGET=intel_gpu_pvc ..
 ```
 A complete example can be as follows (running on the Intel Data Center Max 1100) -