[Liboil] Orc-0.4.4

[David Schleef]

ORC - The Oil Runtime Compiler
==============================

(and OIL stands for Optimized Inner Loops)

Entropy Wave Inc (http://entropywave.com/) presents Orc, the sucessor
to Liboil - The Library of Optimized Inner Loops.

Orc is a library and set of tools for compiling and executing
very simple programs that operate on arrays of data.  The "language"
is a generic assembly language that represents many of the features
available in SIMD architectures, including saturated addition and
subtraction, and many arithmetic operations.

At this point, developers interested in using Orc should look at the
examples and try out a few Orc programs in an experimental branch
of their own projects.  And provide feedback on how it works.  There
will likely be some major changes in ease of use from a developer's
perspective over the next few releases.

The 0.4 series of Orc releases will be API and ABI compatible, and
will be incompatible with the 0.5 series when it comes out.  It is
anticipated that 0.5 will follow in a few months.


Changes in 0.4.4:

This is almost entirely a cleanup and bug fix release.

 - fix register copying on x86-64
 - better checking for partial test failures
 - fix documention build
 - fix build on many systems I don't personally use
 - various fixes to build/run on Win64 (Ramiro Polla)
 - add performance tests

Next release will merge in the new pixel compositing opcodes
and the SSE instruction scheduler.


Features:

 - Users can create, compile, and run simple programs that use the
   vector extensions of the CPU, all directly from an application.

 - Users can compile Orc programs to assembly source code to be
   compiled and used without linking against the Orc library.

 - The generic assembly language can be extended by an application
   by adding new opcodes.

 - An application can add rules for converting existing or new opcodes
   to binary code for a specific target.

 - Current targets: SSE, MMX, ARM, Altivec, and TI C64x+.  (ARM is very
   limited and c64x only produces source code.)  The NEON target is not
   open source and can be licensed separately from Entropy Wave.  (This
   will change soon.)

 - Programs can optionally be emulated, which is useful for testing, or
   if no rules are available to convert Orc opcodes to executable code.


Questions and Answers:

 - Q: Why not let gcc vectorize my code?

   A: Two reasons: first, since Orc's assembly language is much more
   restrictive than C, Orc can generate better code than gcc, and
   second, Orc can generate code for functions you define at runtime.
   Many algorithms require gluing together several stages of operations,
   and if each stage has several options, the total amount of code to
   cover all combinations could be inconveniently large.

 - Q: Why not use compiler intrinsics for SIMD code?

   A: Compiler intrinsics only work for one target, and need to be
   hand written.  Plus, some compilers are very picky about source
   code that uses intrinsics, and will silently produce slow code.
   And, of course, you can't compile intrinsics at runtime.

 - Q: How big is the Orc library?

   A: For embedded users, patches can be applied that disable irrelevant
   targets.  Compiled with only one target (SSE), the library size is
   about 95 kB uncompressed, or 32 kB compressed.  The goal is to keep
   the uncompressed size under about 100 kB.  A typical build with all
   targets and the full ABI is around 300 kB.


Caveats (Known Bugs):

 - ?


Future directions:

 - Addition of more complex loop control and array structures.

 - Addition of an option to compile the Orc library with only the
   runtime features for a single target, e.g., for embedded systems.
 
 - Addition of rewrite rules, which convert an instruction that cannot
   be converted to binary code into a series of instructions that can.
   This is necessary since assembly instructions on most targets do
   not cover all the features of the Orc assembly language.
 

About Entropy Wave:

Entropy Wave creates tools that allow content producers and distributors
use open video technology.  Through use of open source software like
GStreamer and Dirac, Entropy Wave's customers save money on licensing
costs for encoding and streaming video on the web.  Entropy Wave was
founded in 2008 by long-time open source developer David Schleef.