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| author | Mahmoud <[email protected]> | 2019-07-29 21:18:06 -0400 |
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| committer | Mahmoud <[email protected]> | 2019-07-29 21:18:06 -0400 |
| commit | 5875fda72d4402413bc5c04ee5ec15085ff2b90a (patch) | |
| tree | c920268d899df331e1a5e451a35133eaff7ca341 /debug_tools/WatchYourStep/ptxjitplus/readme.txt | |
| parent | c05dc90da35fc2bd9dd42da9626bf3a60e2c9e8d (diff) | |
| parent | 21d937256fbca004c926531cfef1adefcedeef91 (diff) | |
Merge branch 'dev' of https://github.com/mkhairy/gpgpu-sim-private into dev-purdue-integration-trace
Diffstat (limited to 'debug_tools/WatchYourStep/ptxjitplus/readme.txt')
| -rw-r--r-- | debug_tools/WatchYourStep/ptxjitplus/readme.txt | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/debug_tools/WatchYourStep/ptxjitplus/readme.txt b/debug_tools/WatchYourStep/ptxjitplus/readme.txt new file mode 100644 index 0000000..2bc1ccb --- /dev/null +++ b/debug_tools/WatchYourStep/ptxjitplus/readme.txt @@ -0,0 +1,7 @@ +Sample: ptxjit +Minimum spec: SM 2.0 + +This sample uses the Driver API to just-in-time compile (JIT) a Kernel from PTX code. Additionally, this sample demonstrates the seamless interoperability capability of the CUDA Runtime and CUDA Driver API calls. For CUDA 5.5, this sample shows how to use cuLink* functions to link PTX assembly using the CUDA driver at runtime. + +Key concepts: +CUDA Driver API |