Steven Robertson 094890c324 Use shared memory for iter_count and have each CP processed by only one CTA. ... Slower, but the code is a bit simpler conceptually, and the difference will be more than accounted for by better scheduling towards the end of the process.		2010-09-07 14:54:50 -04:00
..
__init__.py	Splitting things up a bit	2010-08-28 16:56:05 -04:00
cuda.py	Use shared memory for iter_count and have each CP processed by only one CTA.	2010-09-07 14:54:50 -04:00
device_code.py	Use shared memory for iter_count and have each CP processed by only one CTA.	2010-09-07 14:54:50 -04:00
ptx.py	Use shared memory for iter_count and have each CP processed by only one CTA.	2010-09-07 14:54:50 -04:00
render.py	Use shared memory for iter_count and have each CP processed by only one CTA.	2010-09-07 14:54:50 -04:00