[Liboil] Orc-0.4.3 Released
ds at entropywave.com
Sun Dec 13 18:37:30 PST 2009
New opcodes: all the 32-bit float opcodes from the orc-float
library have been moved into the core library.
New opcodes: splitlw and splitwb, which are equivalent to
select0lw, select1lw, select0wb, and select1wb, except that
the new opcodes split a value into two destinations in one
New backend: c64x-c, for the TI C64x+ DSP. This backend only
produces source code, unlike other backends which can produce
both source and binary code. Generating code for this backend
can be done using 'orcc --assembly --target=c64x-c'.
Orc now understands and can generate code for two-dimensional
arrays. If the size of the array is known at compile time,
this information can be used to improve generated code.
Various improvements to the ARM backend by Wim Taymans. The
ARM backend is still experimental.
Main page: http://code.entropywave.com/projects/orc/
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.
- 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. (ARM is very limited.)
The NEON and TI c64x+ DSP targets are not open source and can be
licensed separately from Entropy Wave.
- 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: 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.
Caveats (Known Bugs):
- 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.
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