![]() 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) |
||
---|---|---|
.. | ||
package.py |