- 01 Apr, 2014 1 commit
-
-
Joseph Pallamidessi authored
Update installation file and add a new cmake build method. Type 'cmake .', then make and the installation process stay the same ( . install.sh {local})
-
- 30 Mar, 2014 2 commits
-
-
Joseph Pallamidessi authored
-
-
- 31 Mar, 2014 2 commits
-
-
pallamidessi authored
-
pallamidessi authored
-
- 30 Mar, 2014 3 commits
-
-
pallamidessi authored
-
Joseph Pallamidessi authored
-
Joseph Pallamidessi authored
Fix critical bug. The ip file name was set with a pointer of a stack memory adress. The result was undefined. This bug is present in all tpl file
-
- 28 Mar, 2014 5 commits
-
-
Joseph Pallamidessi authored
-
Joseph Pallamidessi authored
-
Joseph Pallamidessi authored
-
Joseph Pallamidessi authored
-
Joseph Pallamidessi authored
-
- 26 Mar, 2014 3 commits
-
-
Joseph Pallamidessi authored
Compilation now (more) platform independent, as it will compile out of the box with clang on OSX. You can change the compiler used with export=compiler_name before make
-
Joseph Pallamidessi authored
Check for clang instead of apple to know it must include openMP, as clang don't support it on any platform. Easea now compile on clang/llvm 3.0 and 3.3
-
Joseph Pallamidessi authored
-
- 04 Jun, 2013 2 commits
-
-
Waldo Cancino authored
-
Waldo Cancino authored
-
- 03 Jun, 2013 3 commits
- 23 Oct, 2012 2 commits
-
-
Cancino Waldo authored
-
Cancino Waldo authored
-
- 22 Oct, 2012 1 commit
-
-
Cancino Waldo authored
Fix compilation on MacOSX Update the grammar generated files
-
- 11 Jun, 2012 3 commits
-
-
Ogier Maitre authored
-
Ogier Maitre authored
-
Ogier Maitre authored
-
- 05 Jun, 2012 1 commit
-
-
Ogier Maitre authored
-
- 04 Jun, 2012 1 commit
-
-
Ogier Maitre authored
-
- 21 May, 2012 2 commits
-
-
Ogier Maitre authored
-
Ogier Maitre authored
-
- 17 Apr, 2012 1 commit
-
-
Ogier Maitre authored
-CUDA.tpl corrected bugs -Improve the user information, by dumping proper population size to distribute to current GPGPU system. -Resolve a bug in GPU evaluation. Now evaluation are really done in parallel on all the cards, (it was serialized before). -Add instrumented tools in CEvolutionaryAlgorithm.cpp (INSTRUMENTED must be defined to use this feature). -If timing.csv file does not already exist, a description of each field is outputted first in the file. -It is now possible to specify a range of GPU to be used for evaluation computation at execution time. This is done using --fstgpu and --lstgpu arguments, that specify used gpus as [fstgpu,lstgpu[. -Installer improved for linux and MacosX
-
- 14 Sep, 2011 8 commits
-
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-
Frédéric Krüger authored
-