doc update, add proposed .86 release notes
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make
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```
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* Guide to [Porting a New Cuda Project](docs/markdown/hip_porting_guide.md#porting-a-new-cuda-project" aria-hidden="true"><span aria-hidden="true)
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* Guide to [Porting a New Cuda Project](docs/markdown/hip_porting_guide.md#porting-a-new-cuda-project")
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## More Examples
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Since this is an early access release and we are still in development towards the production ready version Boltzmann Driver and runtime we recommend this release be used for research and early application development.
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We have attempted to document known bugs and limitations - in particular the [HIP Kernel Language](docs/markdown/hip_kernel_language.md) document uses the phrase "Under Development", and the [HIP Runtime API bug list](http://gpuopen-professionalcompute-tools.github.io/HIP/bug.html) lists known bugs. Some of the key items we are working on:
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- Async memory copies.
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- hipStream support.
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- Multi-GPU
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- Shared-scope atomic operations. (due to compiler limitation, shared-scope map atomics map to global)
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- Tuning built-in functions, including shfl.
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- Performance optimization.
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Stay tuned - the work for many of these features is already in-flight.
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===================================================================================================
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- clang-hipify : clang-based hipify tool. Improved parsing of source code, and automates
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creation of hipLaunchParm variable.
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- Memory register / unregister commands (hipHostRegister, hipHostUnregister)
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- Improve cross-linking support between G++ and HCC, in particular for interfaces that use
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standard C++ libraries (ie std::vectors, std::strings). HIPCC now uses libstdc++ by default on the HCC
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compilation path.
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- More samples including GPUBurn and SHOC. See [HIP-Examples](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-Examples)
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===================================================================================================
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## Revision History:
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===================================================================================================
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