[docs] Add gpucc publication and tutorial.
llvm-svn: 264839
diff --git a/llvm/docs/CompileCudaWithLLVM.rst b/llvm/docs/CompileCudaWithLLVM.rst
index 8e7ed0d..5ed3f14 100644
--- a/llvm/docs/CompileCudaWithLLVM.rst
+++ b/llvm/docs/CompileCudaWithLLVM.rst
@@ -53,7 +53,7 @@
===================================
We assume you have installed the CUDA driver and runtime. Consult the `NVIDIA
-CUDA installation Guide
+CUDA installation guide
<https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html>`_ if
you have not.
@@ -167,10 +167,9 @@
straight-line scalar optimizations <https://goo.gl/4Rb9As>`_.
* **Inferring memory spaces**. `This optimization
- <http://www.llvm.org/docs/doxygen/html/NVPTXFavorNonGenericAddrSpaces_8cpp_source.html>`_
+ <https://github.com/llvm-mirror/llvm/blob/master/lib/Target/NVPTX/NVPTXInferAddressSpaces.cpp>`_
infers the memory space of an address so that the backend can emit faster
- special loads and stores from it. Details can be found in the `design
- document for memory space inference <https://goo.gl/5wH2Ct>`_.
+ special loads and stores from it.
* **Aggressive loop unrooling and function inlining**. Loop unrolling and
function inlining need to be more aggressive for GPUs than for CPUs because
@@ -201,6 +200,19 @@
divides in our benchmarks have a divisor and dividend which fit in 32-bits at
runtime. This optimization provides a fast path for this common case.
+Publication
+===========
+
+| `gpucc: An Open-Source GPGPU Compiler <http://dl.acm.org/citation.cfm?id=2854041>`_
+| Jingyue Wu, Artem Belevich, Eli Bendersky, Mark Heffernan, Chris Leary, Jacques Pienaar, Bjarke Roune, Rob Springer, Xuetian Weng, Robert Hundt
+| *Proceedings of the 2016 International Symposium on Code Generation and Optimization (CGO 2016)*
+| `Slides for the CGO talk <http://wujingyue.com/docs/gpucc-talk.pdf>`_
+
+Tutorial
+========
+
+`CGO 2016 gpucc tutorial <http://wujingyue.com/docs/gpucc-tutorial.pdf>`_
+
Obtaining Help
==============