Include blurb about Likely. By Josh Klontz.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/branches/release_35@216762 91177308-0d34-0410-b5e6-96231b3b80d8

diff --git a/docs/ReleaseNotes.rst b/docs/ReleaseNotes.rst
index 38c8a5e8d7884c08ff4569bbedaa505b328504df..22022bc89c89486bfb5c1d26fb67f7665224e464 100644 (file)
--- a/docs/ReleaseNotes.rst
+++ b/docs/ReleaseNotes.rst
@@ -305,6 +305,21 @@ which ensure vector-friendly data layout, explicit vectorization and compact
 representation of the program. The project uses the LLVM infrastructure for
 optimization and code generation.
 
+Likely
+------
+
+`Likely <http://www.liblikely.org>`_ is an embeddable just-in-time Lisp for
+image recognition and heterogenous architectures. Algorithms are just-in-time
+compiled using LLVM’s MCJIT infrastructure to execute on single or
+multi-threaded CPUs and potentially OpenCL SPIR or CUDA enabled GPUs. Likely
+exploits the observation that while image processing and statistical learning
+kernels must be written generically to handle any matrix datatype, at runtime
+they tend to be executed repeatedly on the same type. Likely also seeks to
+explore new optimizations for statistical learning algorithms by moving them
+from an offline model generation step to a compile-time simplification of a
+function (the learning algorithm) with constant arguments (the training set).
+
+
 Additional Information
 ======================