Comments (4)
Hey,
we offer two kinds of pairing groups, (1) a built-in (pretty inefficient) Java pairing group, and (2) a wrapper for the much faster mcl.
For the paper, we used the latter, but the code in this repository defaults to the former (so that it can be easily run without having to install additional external C++ libraries).
Now unfortuntely (at least for this request), we have reworked all of our library and completely broke the API that Clarc depended on. The same is true for our wrapper mclwrap
for (2). So to make that work, we will have to find the right (old, compatible) version of mclwrap
and of mcl
.
We can probably find the appropriate old versions so that the benchmarks can be reproduced. Maybe give us a week for that, you've caught us at a busy time 🙈.
Sorry for the inconvenience.
from upb.crypto.clarc.
Ah I see, makes sense. I had a hunch it wasn't using mcl but given the readme didn't have any information on this I was hoping it was something dumb on my end.
from upb.crypto.clarc.
Hi,
with the new commit you should now be able to just run the ./install_mcl.sh
script and then future runs of clarc should use the new mcl pairing.
I've also pushed a Dockerfile to make this more easily reproducible.
from upb.crypto.clarc.
Thanks a lot for the speedy response and fix. It's working now!
If anyone else is running this on MacOS, you need to move the jawt_md.h
and jni_md.h
from
/Library/Java/JavaVirtualMachines/jdk-11.0.1.jdk/Contents/Home/include/darwin
to
/Library/Java/JavaVirtualMachines/jdk-11.0.1.jdk/Contents/Home/include
.
Otherwise ./install_mcl.sh
will fail.
from upb.crypto.clarc.
Related Issues (3)
- Example application source code HOT 1
- Tests are broken HOT 2
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from upb.crypto.clarc.