android-x86-mesa.git - Androïd/x86 port of Mesa drivers

Age	Commit message (Collapse)	Author
2010-11-21	r300/compiler: Add rc_get_readers()	Tom Stellard

2010-10-18	r300/compiler: Add a new function for more efficient dataflow analysis	Tom Stellard
	rc_get_readers_normal() supplies a list of readers for a given instruction. This function is now being used by the copy propagate optimization and will eventually be used by most other optimization passes as well.
2010-09-27	r300/compiler: Add more helper functions for iterating through sources	Tom Stellard
	rc_for_all_reads_src() and rc_pair_for_all_reads_arg() pass references to instruction sources to the callback so they can be modified directly.
2010-09-04	r300/compiler: refactor fragment shader compilation	Marek Olšák
	This cleans up the mess in r3xx_compile_fragment_program.
2010-09-04	r300/compiler: refactor vertex shader compilation	Marek Olšák
	First list compiler passes in an array, then run the new function rc_run_compiler. Every backend may need a different set of passes. This cleans up the mess in r3xx_compile_vertex_program.
2010-09-04	r300/compiler: remove a redundant parameter in rc_dataflow_deadcode	Marek Olšák
	&c->Base == c.
2010-05-16	r300/compiler: Implement simple peephole optimizer	Nicolai Hähnle
	Signed-off-by: Nicolai Hähnle <nhaehnle@gmail.com>
2010-04-19	r300/compiler: Implement branch emulation for R300 fragment programs	Nicolai Hähnle
	Signed-off-by: Nicolai Hähnle <nhaehnle@gmail.com>
2009-10-04	r300/compiler: Refactor the radeon_pair code to support control flow ↵	Nicolai Hähnle
	instructions Signed-off-by: Nicolai Hähnle <nhaehnle@gmail.com>
2009-10-03	r300/compiler: Introduce control flow instructions and refactor dataflow	Nicolai Hähnle
	Note that control flow instruction support isn't actually fully functional yet. Signed-off-by: Nicolai Hähnle <nhaehnle@gmail.com>
2009-09-06	r300/compiler: New dataflow structures and passes	Nicolai Hähnle
	This replaces the old NQSSADCE code with the same functionality, but quite different design. Instead of doing a single integerated pass, we now build explicit data structures representing the dataflow. This will enable analysis of flow control instruction, and could potentially open an avenue for several dataflow based optimizations, such as peephole optimization, fusing MUL+ADD to MAD, and so on.