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author | Axel Huebl <axel.huebl@plasma.ninja> | 2017-04-07 18:04:45 +0200 |
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committer | Adam J. Stewart <ajstewart426@gmail.com> | 2017-04-07 11:04:45 -0500 |
commit | a8bd69f01ce74f1c07bda451a4b1ad86fdfa8a94 (patch) | |
tree | cff646218526ecc1d42cbcf70b44db4cc6699fe2 /etc | |
parent | 7b37620e25606b769cd6a5c5a394c07971ce7967 (diff) | |
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Package: ISAAC (#3733)
Adds the [ISAAC](https://github.com/ComputationalRadiationPhysics/isaac)
in situ volume rendering library. The ISAAC library can be build with
render/filter kernels for Nvidia GPUs via CUDA or with a more general
backend via [Alpaka](https://github.com/ComputationalRadiationPhysics/alpaka)
with support for Nvidia GPUs (via CUDA) and multicore CPUs.
Since alpaka is not yet part of spack, the second variant is still
commented out.
Packages
- `isaac`: header-only library with dependencies to other C++ libraries
that is then used in simulations
- `isaac-server`: stand-alone executable that connects N simulations with M
clients in a `N simulations:1 server` and
`1 server:M clients` fashion
(ISAAC clients simply speak websockets/JSON and are usually
[HTML/JS pages](https://github.com/ComputationalRadiationPhysics/isaac/tree/v1.2.0/client))
Downstream Usage
PIConGPU uses ISAAC for in situ visualization.
References
- [Repo](https://github.com/ComputationalRadiationPhysics/isaac) (LGPLv3+)
- [Documentation](http://computationalradiationphysics.github.io/isaac/)
- [Talk at GTC2016](http://on-demand.gputechconf.com/gtc/2016/video/S6294.html)
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