From 98905a7272b9fbc6b0c9712cd47577962b8a17c1 Mon Sep 17 00:00:00 2001 From: Aditya Atluri Date: Thu, 29 Jun 2017 12:01:40 -0500 Subject: [PATCH 1/2] automate gcnarch detection Change-Id: Ibbad22db136f7f5e2be84c82e9169298a144cc77 --- samples/1_Utils/hipInfo/hipInfo.cpp | 1 + 1 file changed, 1 insertion(+) diff --git a/samples/1_Utils/hipInfo/hipInfo.cpp b/samples/1_Utils/hipInfo/hipInfo.cpp index cf4660eae7..0401745efd 100644 --- a/samples/1_Utils/hipInfo/hipInfo.cpp +++ b/samples/1_Utils/hipInfo/hipInfo.cpp @@ -129,6 +129,7 @@ void printDeviceProp (int deviceId) cout << setw(w1) << "arch.hasSurfaceFuncs: " << props.arch.hasSurfaceFuncs << endl; cout << setw(w1) << "arch.has3dGrid: " << props.arch.has3dGrid << endl; cout << setw(w1) << "arch.hasDynamicParallelism: " << props.arch.hasDynamicParallelism << endl; + cout << setw(w1) << "gcnArch: " << props.gcnArch << endl; int deviceCnt; hipGetDeviceCount(&deviceCnt); From 8252ae785b3772476b0a32c748cd6671d6140e5e Mon Sep 17 00:00:00 2001 From: Maneesh Gupta Date: Wed, 5 Jul 2017 11:44:44 +0530 Subject: [PATCH 2/2] GPUOpen-ProfessionalCompute-Tools -> ROCm-Developer-Tools Change-Id: I9f5b29dd1097385acecb0c672770d8adca2fdcf7 --- samples/2_Cookbook/0_MatrixTranspose/Readme.md | 18 +++++++++--------- samples/2_Cookbook/10_inline_asm/Readme.md | 18 +++++++++--------- samples/2_Cookbook/1_hipEvent/Readme.md | 18 +++++++++--------- samples/2_Cookbook/2_Profiler/Readme.md | 16 ++++++++-------- samples/2_Cookbook/3_shared_memory/Readme.md | 18 +++++++++--------- samples/2_Cookbook/4_shfl/Readme.md | 18 +++++++++--------- samples/2_Cookbook/5_2dshfl/Readme.md | 18 +++++++++--------- samples/2_Cookbook/6_dynamic_shared/Readme.md | 18 +++++++++--------- samples/2_Cookbook/7_streams/Readme.md | 18 +++++++++--------- samples/2_Cookbook/9_unroll/Readme.md | 18 +++++++++--------- 10 files changed, 89 insertions(+), 89 deletions(-) diff --git a/samples/2_Cookbook/0_MatrixTranspose/Readme.md b/samples/2_Cookbook/0_MatrixTranspose/Readme.md index 5e9483b595..ab5dbdc958 100644 --- a/samples/2_Cookbook/0_MatrixTranspose/Readme.md +++ b/samples/2_Cookbook/0_MatrixTranspose/Readme.md @@ -7,7 +7,7 @@ This tutorial shows how to get write simple HIP application. We will write the s HIP is a C++ runtime API and kernel language that allows developers to create portable applications that can run on AMD and other GPU’s. Our goal was to rise above the lowest-common-denominator paths and deliver a solution that allows you, the developer, to use essential hardware features and maximize your application’s performance on GPU hardware. ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -90,11 +90,11 @@ Use the make command and execute it using ./exe Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [hipify-clang](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/hipify-clang/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [hipify-clang](https://github.com/ROCm-Developer-Tools/HIP/hipify-clang/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/10_inline_asm/Readme.md b/samples/2_Cookbook/10_inline_asm/Readme.md index 8c98547220..0e64fe9c6e 100644 --- a/samples/2_Cookbook/10_inline_asm/Readme.md +++ b/samples/2_Cookbook/10_inline_asm/Readme.md @@ -15,7 +15,7 @@ For more information: [User Guide for AMDGPU Back-end](llvm.org/docs/AMDGPUUsage.html) ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -37,11 +37,11 @@ Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/1_hipEvent/Readme.md b/samples/2_Cookbook/1_hipEvent/Readme.md index e3ec8ad780..ea4f3a67e9 100644 --- a/samples/2_Cookbook/1_hipEvent/Readme.md +++ b/samples/2_Cookbook/1_hipEvent/Readme.md @@ -7,7 +7,7 @@ This tutorial is follow-up of the previous one where we learn how to write our f Memory transfer and kernel execution are the most important parameter in parallel computing (specially HPC and machine learning). Memory bottlenecks is the main problem why we are not able to get the highest performance, therefore obtaining the memory transfer timing and kernel execution timing plays key role in application optimization. ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -64,11 +64,11 @@ Use the make command and execute it using ./exe Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [hipify-clang](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/hipify-clang/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [hipify-clang](https://github.com/ROCm-Developer-Tools/HIP/hipify-clang/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/2_Profiler/Readme.md b/samples/2_Cookbook/2_Profiler/Readme.md index 92a8be228e..4059e42193 100644 --- a/samples/2_Cookbook/2_Profiler/Readme.md +++ b/samples/2_Cookbook/2_Profiler/Readme.md @@ -37,11 +37,11 @@ You can also print the HIP function strings to stderr using HIP_TRACE_API enviro Note this trace mode uses colors. "less -r" can handle raw control characters and will display the debug output in proper colors. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [hipify-clang](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/hipify-clang/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [hipify-clang](https://github.com/ROCm-Developer-Tools/HIP/hipify-clang/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/3_shared_memory/Readme.md b/samples/2_Cookbook/3_shared_memory/Readme.md index 6b9393397c..8b9e102ec9 100644 --- a/samples/2_Cookbook/3_shared_memory/Readme.md +++ b/samples/2_Cookbook/3_shared_memory/Readme.md @@ -7,7 +7,7 @@ Earlier we learned how to write our first hip program, in which we compute Matri As we mentioned earlier that Memory bottlenecks is the main problem why we are not able to get the highest performance, therefore minimizing the latency for memory access plays prominent role in application optimization. In this tutorial, we'll learn how to use static shared memory and will explain the dynamic one latter. ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -32,11 +32,11 @@ Use the make command and execute it using ./exe Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/4_shfl/Readme.md b/samples/2_Cookbook/4_shfl/Readme.md index da62901851..923d2f3837 100644 --- a/samples/2_Cookbook/4_shfl/Readme.md +++ b/samples/2_Cookbook/4_shfl/Readme.md @@ -15,7 +15,7 @@ Let's talk about Warp first. The kernel code is executed in groups of fixed numb ` float __shfl_xor (float var, int laneMask, int width=warpSize); ` ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -41,11 +41,11 @@ Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia please make sure you have a 3.0 or higher compute capable device in order to use warp shfl operations and add `-gencode arch=compute=30, code=sm_30` nvcc flag in the Makefile while using this application. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/5_2dshfl/Readme.md b/samples/2_Cookbook/5_2dshfl/Readme.md index fba114152a..8efff49d8e 100644 --- a/samples/2_Cookbook/5_2dshfl/Readme.md +++ b/samples/2_Cookbook/5_2dshfl/Readme.md @@ -15,7 +15,7 @@ Let's talk about Warp first. The kernel code is executed in groups of fixed numb ` float __shfl_xor (float var, int laneMask, int width=warpSize); ` ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -41,11 +41,11 @@ Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia please make sure you have a 3.0 or higher compute capable device in order to use warp shfl operations and add `-gencode arch=compute=30, code=sm_30` nvcc flag in the Makefile while using this application. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/6_dynamic_shared/Readme.md b/samples/2_Cookbook/6_dynamic_shared/Readme.md index a10fd56a95..15ea299a9c 100644 --- a/samples/2_Cookbook/6_dynamic_shared/Readme.md +++ b/samples/2_Cookbook/6_dynamic_shared/Readme.md @@ -7,7 +7,7 @@ Earlier we learned how to use static shared memory. In this tutorial, we'll expl As we mentioned earlier that Memory bottlenecks is the main problem why we are not able to get the highest performance, therefore minimizing the latency for memory access plays prominent role in application optimization. In this tutorial, we'll learn how to use dynamic shared memory. ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -37,11 +37,11 @@ Use the make command and execute it using ./exe Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/7_streams/Readme.md b/samples/2_Cookbook/7_streams/Readme.md index a75149925e..ca295d3f49 100644 --- a/samples/2_Cookbook/7_streams/Readme.md +++ b/samples/2_Cookbook/7_streams/Readme.md @@ -7,7 +7,7 @@ In all Earlier tutorial we used single stream, In this tutorial, we'll explain h The various instances of kernel to be executed on device in exact launch order defined by Host are called streams. We can launch multiple streams on a single device. We will learn how to learn two streams which can we scaled with ease. ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -47,11 +47,11 @@ Use the make command and execute it using ./exe Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md) diff --git a/samples/2_Cookbook/9_unroll/Readme.md b/samples/2_Cookbook/9_unroll/Readme.md index 3c2635c0eb..194eb9c7ff 100644 --- a/samples/2_Cookbook/9_unroll/Readme.md +++ b/samples/2_Cookbook/9_unroll/Readme.md @@ -8,7 +8,7 @@ Loop unrolling optimization hints can be specified with #pragma unroll and #prag Specifying #pragma unroll without a parameter directs the loop unroller to attempt to fully unroll the loop if the trip count is known at compile time and attempt to partially unroll the loop if the trip count is not known at compile time. ## Requirement: -For hardware requirement and software installation [Installation](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/INSTALL.md) +For hardware requirement and software installation [Installation](https://github.com/ROCm-Developer-Tools/HIP/INSTALL.md) ## prerequiste knowledge: @@ -38,11 +38,11 @@ Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia please make sure you have a 3.0 or higher compute capable device in order to use warp shfl operations and add `-gencode arch=compute=30, code=sm_30` nvcc flag in the Makefile while using this application. ## More Info: -- [HIP FAQ](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_faq.md) -- [HIP Kernel Language](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_kernel_language.md) -- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP) -- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md) -- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) -- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md) -- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md) -- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md) +- [HIP FAQ](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_faq.md) +- [HIP Kernel Language](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_kernel_language.md) +- [HIP Runtime API (Doxygen)](http://rocm-developer-tools.github.io/HIP) +- [HIP Porting Guide](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_porting_guide.md) +- [HIP Terminology](https://github.com/ROCm-Developer-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL) +- [clang-hipify](https://github.com/ROCm-Developer-Tools/HIP/clang-hipify/README.md) +- [Developer/CONTRIBUTING Info](https://github.com/ROCm-Developer-Tools/HIP/CONTRIBUTING.md) +- [Release Notes](https://github.com/ROCm-Developer-Tools/HIP/RELEASE.md)