private context
your code is executed end-to-end in a private context, isolated from the rest of the system. This feature combined with the use of anonymous job protect against any retrieval attempt of your work.
standard intensive job
You work in the space allocated to you, the source code and result files are available in the "sources" and "results" directories. You can follow the status of your work in the main panel.
anonymous intensive job
The uploaded source code file is immediately deleted after the system has taken the work into account. As with all works, job is executed in a closed and private context. The job is not traced anywhere, only you receive by email the path of the result file to download. Following the download the file is immediately deleted, or will be deleted after 48 hours.
execution
your request is queued, you may experience latency if service is busy.
limited time execution: your program is killed if amount of real time exceeds the duration you selected. For free computing the maximum duration is 60 secondes.
modules
external modules are not available yet except sciGPGPU
sciGPGPU module
module sciGPGPU is automatically loaded if you request at least one GPU (intensive computing ony).
if needed kernel files must be present on same directory that scilab source file.
.... = gpuBuild("mykernelfile");
graphic mode
you get back the last figure you drew ex: plot2d()
export function of graphic window 0 is appended to your code
modules
code
pycuda.autoinit is imported already, you must import what you need, example:
import pycuda.driver as drv
import numpy