Author: void Date: Fri Aug 29 15:00:59 2014 New Revision: 216762 URL: http://llvm.org/viewvc/llvm-project?rev=216762&view=rev Log: Include blurb about Likely. By Josh Klontz.
Modified: llvm/branches/release_35/ (props changed) llvm/branches/release_35/docs/ReleaseNotes.rst Propchange: llvm/branches/release_35/ ------------------------------------------------------------------------------ --- svn:mergeinfo (original) +++ svn:mergeinfo Fri Aug 29 15:00:59 2014 @@ -1,3 +1,3 @@ /llvm/branches/Apple/Pertwee:110850,110961 /llvm/branches/type-system-rewrite:133420-134817 -/llvm/trunk:155241,213653,213665,213726,213749,213773,213793,213798-213799,213815,213847,213880,213883-213884,213894-213896,213899,213915,213966,213999,214060,214129,214180,214287,214331,214423,214429,214519,214670,214674,214679,215685,215711,215806,216064 +/llvm/trunk:155241,213653,213665,213726,213749,213773,213793,213798-213799,213815,213847,213880,213883-213884,213894-213896,213899,213915,213966,213999,214060,214129,214180,214287,214331,214423,214429,214519,214670,214674,214679,215685,215711,215806,216064,216531 Modified: llvm/branches/release_35/docs/ReleaseNotes.rst URL: http://llvm.org/viewvc/llvm-project/llvm/branches/release_35/docs/ReleaseNotes.rst?rev=216762&r1=216761&r2=216762&view=diff ============================================================================== --- llvm/branches/release_35/docs/ReleaseNotes.rst (original) +++ llvm/branches/release_35/docs/ReleaseNotes.rst Fri Aug 29 15:00:59 2014 @@ -305,6 +305,21 @@ which ensure vector-friendly data layout 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 LLVMâs 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 ====================== _______________________________________________ llvm-branch-commits mailing list llvm-branch-commits@cs.uiuc.edu http://lists.cs.uiuc.edu/mailman/listinfo/llvm-branch-commits