Out of memory while processing cabinet file

Anyway, I do concede to the point that doing it 30 fps is wild excessive, thanks tfguy44 for your code to reduce the loading rate, I only need once or twice a second. I wanted to check before implementing something like this though that the underlying problem was solved - so I was not just increasing the time it would run for. Leave a comment on PhiLho's reply. I'm using processing version 2.

I load it within draw as screen. Does the frame rate matter. If I set it to once per second, that is still fast enough for me, but does this just prolong the time before I run out of memory rather than solving the problem.

Leave a comment on j. The problem is that you are loading the image not once every few seconds, but 30 times a second! Hi tfguy44,. Due to the background this just flashes up the images every. Leave a comment on tfguy44's reply. Yes, beta versions had a bug with displaying lot of images, and it has been fixed in the stable versions, hence my question. Topic Type : Discussions Questions. Change topic type Cancel.

Link this topic. Provide the permalink of a topic that is related to this topic. Learn more. Asked 8 years, 10 months ago. Active 6 years, 5 months ago. Viewed 5k times. Improve this question. Marcos Meli 3, 23 23 silver badges 29 29 bronze badges.

BowserKingKoopa my first question would be the obvious, how much available space do you have when unzipping the file if it's 20GB I would double that to see if you have 40GB free — MethodMan. Shouldn't you be using a BinaryReader instead of a TextReader? In my opinion this is something you should handle with a database so the actual data will remain on the HD Add a comment.

Active Oldest Votes. Improve this answer. Marcos Meli Marcos Meli 3, 23 23 silver badges 29 29 bronze badges. FileHelperAsyncEngine is just what I was looking for. ReadNextItem ; while item! Sign up or log in Sign up using Google. Virtual operations are used to approximate the geometry for the purposes of meshing. They can be useful on any geometry to quickly ignore details which are not critical to the analysis. Submodeling is the process of solving a sequence of models with different levels of details and different meshes.

Depending upon the physics which you are using you may be able to use assembly meshing. This will allow you to have non-congruent meshes if you have assemblies of parts that have different feature sizes. This functionality is particularly recommended for problems involving solid mechanics and heat transfer.

See Knowledge Base solution for more details. You will always want to study different mesh sizes. A finite element solution must be verified by repeating the solution on different sized meshes. Always start with as coarse a mesh as possible and gradually decrease the mesh size while observing by how much the solution changes.

As you refine the mesh, the finite element solution will become increasingly accurate. Investigate using adaptive mesh refinement or manual meshing. Many physics by default use a second order, quadratic, discretization. Investigate using a first order, linear, discretization order. This can and should be done in conjunction with studying different meshes.

For more details, please see: Knowledge Base Understanding, and changing, the element order. If you are working on 1D, 2D, or 2D-axisymmetric models the memory requirements are usually quite low, first consider a hardware upgrade.

If you are solving a model with several physics the default behavior in most cases is to use a fully coupled approach to solve all physics simultaneously. Switch to a segregated approach to solving the multiphysics problem.

If you are working on 3D models the default solvers are usually Iterative for single physics problems, but certain physics do default to using Direct solvers. Iterative solvers require less memory, and are faster, than Direct solvers. If a Direct solver is being used, investigate if an Iterative solver can be used instead.