How can I speed up this 3D grid-based rendering system? - rendering

I have recently been developing an isometric, rendering system to map out 3D grids in Javascript. All of the items on the grid are cubes of equal dimensions, the only differences between each one is a texture to represent a value for that coordinate. My application requires large grids to be graphed, even though only a small portion is visible in the viewport at once.
Because I am using Canvas, which is slow to draw thousands of shapes per frame, I set my script to loop through each block but only draw its faces if they are 1.) next to an empty grid space and 2.) inside the viewport. This system works fine for smaller grids, but as my application will need considerably large ones (1000+x1000+x128), I will need to add some performance improvements for the final product.
Does anyone that has worked with rendering systems know any way I can further optimize my engine? One thing that I guess may be effective will be trying to not loop through each grid value, even if it is not being drawn. However, I do not know the most efficient way to know whether to loop through a grid value or not (I am currently going through EVERY value, then calculating whether it should be drawn).
If I have been too vague, please tell me and I will be happy to elaborate. Thank you for your time and expertise; I am a student and any help will greatly aid my learning.

Some pointers to you: you might want to have a look at classic culling algorithms using things like octree (or quadtrees in your case), ...

Related

Optimizing the Layout of Arbitrary Shapes in a Plane

I am trying to create an algorithm that can take a set of objects and organize them in a given area such that a box bounding all of the shapes is optimized (either by area used, or by maximizing the span along one of the dimensions, etc.). All of the shapes are closed and bounded.
The purpose of this is to try and minimize material waste from using a laser cutter. The shapes are generated in CAD and can read into this algorithm. The algorithm will then take arguments for the working area (effective laser cutting area) as well as the minimum separation between any two objects, then attempt to organize the objects within the specified dimensions while trying to minimize the area usage. Alternatively, the algorithm can also try to maximize the object locations along one axis while minimizing the span along the other dimension. This would be akin to cutting off a smaller workpiece to cut from.
Ideally, the algorithm would be able to make translations AND rotations, but rotations aren't necessary.
For example, this Picture depicts the required transformation.
It should work with an arbitrary, but small (<25) number of objects.
Lastly, I don't expect anyone to solve this for me, but I would appreciate help toward either finding an algorithm that can do this, or developing my own. Thank you.
I dont know to what extent you want to create said algorithm or how you want to implement it, But i know of a program called OptiNest that can do what you ask. It organizes geometric shapes to optimize the layout and minimize waste on a plane, i think in an autocad format.

Computational complexity and shape nesting

I have SVG abirtrary paths which i need to pack as efficiently as possible within a given rectangle(as less waste of space as possible). After some research i found the bin packing algorithms which seems to be dealing with boxes and not curved random shapes(my SVG shapes are quite complex and include beziers etc.).
AFAIK, there is no deterministic algorithm for actually packing abstract shapes.
I wish to be proven wrong here which would be ideal(having a mathematical deterministic method for packing them). In case I am right however and there is not, what would be the best approach to this problem
The subject name is Shape Nesting, Nesting Problem or Nesting Process.
In Shape Nesting there is no single/uniform algorithm or mathematical method for nesting shapes and getting the least space waste possible.
The 1st method is the packing algorithm(creates an imaginary bounding
box for each shape and uses a rectangular 2D algorithm to pack the
bounding boxes).
This method is fast but the least efficient in regards to space
waste.
The 2nd method is some kind of incremental rotation. The algorithm
rotates the shape at incremental steps and checks if it fits in the
space. This is better than the packing method in regards to space
waste but it is painstakingly slow,
What are some other classroom examples for achieving a solution to this problem?
[Edit1] new answer
as mentioned before bin-packing is NP complete (hard) so forget about algebraic solution
known approaches are:
generate and test
either you test all possibility of the problem and remember the best solution or incrementally add items (not all at once) one by one with the same way. It is basically what you are doing now without proper heuristic is unusably slow. But has the best space efficiency (the first one is much better but much slower) O(N!)
take advantage of sorting items by size
something like this it is much faster almost O(N.log(N)) (according to used sorting algorithm). Space efficiency strongly depends on the items size range and count. For rectangular shapes is this the best approach (fastest and usable even for N>1000). For complex shapes is this not a good way but look at it anyway maybe you get some idea ...
use of Neural network
This is extremly vague approach without any warrant of solution but possible best space efficiency/runtime ratio
I think there could be some field approach out there
I sow a few for generating graph layouts. All items create fields (booth attractive and repulsive) so they are moving to semi-stable state.
At first all items are at random locations
When the movement stop remember best solution and shake all items a little or randomize their position again.
Cycle this few times
This approach is much faster then genere and test and can provide very close solution to it but it can hang in local min/max or oscillate if the fields are not optimally choosed. For example all items can have constant attractive force to each other and repulsive force getting stronger only when the items are very close. You have to prevent overlapping of items (either by stronger repulsion or by collision tests). You have also to create some rotation moment for example with that repulsive force. It differs on any vertex so it creates a rotation moment (that can automatically align similar sides closer together). Also you can have semi-stable state with big distances between items and after finding best solution just turn off repulsion fields so they stick together. Sometimes it can have better results some times not ... here is nice example for graph layout computation
Logic to strategically place items in a container with minimum overlapping connections
Demo from the same QA
And here solver for placing sliders in 2D:
How to implement a constraint solver for 2-D geometry?
[Edit0] old answer before reformulating the question
I am not clear what you want to achieve.
have SVG picture and want to separate its parts to rectangular regions
as filled as can be
least empty space in them
no shape change in picture
have svg picture and want to change its shapes according to some purpose
if this is the case some additional info is needed
[solution for 1]
create a list of points for whole SVG in global SVG space (all points are transformed)
for line you need add 2 points
for rectangles 4 points
circle/elipse/bezier/eliptic arc 8 points
find local centres of mass
use classical approach
or can speed things up by computing the average density of points per x,y axis separately and after that just check all combinations of found positions of local max of densities if they really are sub cluster center or not.
all sub cluster center is the center of your region
now find the most far points which are still part of your cluster (the are close enough to neighbour points)
create rectangular area that cover all points from sub cluster.
you also can remove all used points from list
repeat fro all valid sub clusters
until all points are used
another not precise but simpler approach is:
find SVG size
create planar map of svg with some precision for example int map[256][256].
size of map can be constant or with the same aspect as SVG
clear map with 0
for any point of SVG set related map point to 1 (or inc or whatever)
now just segmentate map and you will have find your objects
after segmentation you have position and size of all objects
so finding of bounding boxes should be easy
You can start with a variant of the rectangle bin-packing algorithm and add rotation. There is a method "Guillotine bin packer" and you can download a paper and a library at github.

transform a path along an arc

Im trying to transform a path along an arc.
My project is running on osX 10.8.2 and the painting is done via CoreAnimation in CALayers.
There is a waveform in my project which will be painted by a path. There are about 200 sample points which are mirrored to the bottom side. These are painted 60 times per second and updated to a song postion.
Please ignore the white line, it is just a rotation indicator.
What i am trying to achieve is drawing a waveform along an arc. "Up" should point to the middle. It does not need to go all the way around. The waveform should be painted along the green circle. Please take a look at the sketch provided below.
Im not sure how to achieve this in a performant manner. There are many points per second that need coordinate correction.
I tried coming up with some ideas of my own:
1) There is the possibility to add linear transformations to paths, which, i think, will not help me here. The only thing i can think of is adding a point, rotating the path with a transformation, adding another point, rotating and so on. But this would be very slow i think
2) Drawing the path into an image and bending it would surely lead to image-artifacts.
3) Maybe the best idea would be to precompute sample points on an arc, then save save a vector to the center. Taking the y-coordinates of the waveform, placing them on the sample points and moving them along the vector to the center.
But maybe i am just not seeing some kind of easy solution to this problem. Help is really appreciated and fresh ideas very welcome. Thank you in advance!
IMHO, the most efficient way to go (in terms of CPU usage) would be to use some form of pre-computed approach that would take into account the resolution of the display.
Cleverly precomputed values
I would go for the mathematical transformation (from linear to polar) and combine two facts:
There is no need to perform expansive mathematical computation
There is no need to render two points that are too close from each other
I have no ready-made algorithm for you, but you could use a pre-computed sin or cos table, and match the data range to the display size in order to work with integers.
For instance imagine we have some data ranging from 0 to 1E6 and we need to display the sin value of each point in a 100 pix height rectangle. We can use a pre-computed sin table and work with integers. This way displaying the sin value of a point would be much quicker. This concept can be refined to get a nicer result.
Also, there are some ways to retain only significant points of a curve so that the displayed curve actually looks like the original (see the Ramer–Douglas–Peucker algorithm on wikipedia). But I found it to be inefficient for quickly displaying ever-changing data.
Using multicore rendering
You could compute different areas of the curve using multiple cores (can be tricky)
Or you could use pre-computing using several cores, and one core to do finish the job.

Per frame optimization for large datasets

Summary
New to iPhone programming, I'm having trouble picking the right optimization strategy to filter a set of view components in a scrollview with huge content. In what area would my app gain the most performance?
Introduction
My current iPad app-in-progress let's users explore fairly large binary tree structures. The trees contain between 30 to 900 nodes, and when drawing inside a scrollview (with limited zoom) it looks like this.
The nodes' contents are stored in a SQLite backed Core Data model. It's a binary tree and if a node has children, there are always exactly two. The x and y positions are part of the model, as are the dimensions of the node connections, shown as dotted lines.
Optimization
Only about 50 nodes fit the screen at any given time. With the largest trees containing up to 900 nodes, it's not possible to put everything in a scrollview controlled and zooming UIView, that's a recipe for crashes. So I have to do per frame filtering of the nodes.
And that's where my troubles start. I don't have the experience to make a well founded decision between the possible filtering options, and in addition I probably don't know about that really fast special magic buried deep in Objective-C or Cocoa Touch. Because the backing store is close to 200 MB in size (some 90.000 nodes in hundreds of trees), it's very time consuming to test every single tree on the iPad device. Which is why I'd like to ask you guys for advice.
For all my attempts I'm putting a filter method in the scrollViewDidScroll: and scrollViewDidZoom:. I'm also blocking the main thread with the filter, because I can't show the content without the nodes anyway. But maybe someone has an idea in that area?
Because all the positioning is present in the Core Data model, I might use NSFetchRequest to do the filtering. Is that really fast though? I have the idea it's not a very optimized method.
From what I've tried, the faulted managed objects seem to fit in memory at once, but it might be tricky for the larger trees once their contents start firing faults. Is it a good idea to loop over the NSSet of nodes and see what items should be on screen?
Are there other tricks to gain performance? Would you see ways where I could use multi threading to get the display set faster, even though the model's context was created on the main thread?
Thanks for your advice,
EP.
Ironically your binary tree could be divided using Binary Space Partitioning done in 2D so rendering will be very fast performant and a number of check close to minimum necessary.

Planning a 2D tile engine - Performance concerns

As the title says, I'm fleshing out a design for a 2D platformer engine. It's still in the design stage, but I'm worried that I'll be running into issues with the renderer, and I want to avoid them if they will be a concern.
I'm using SDL for my base library, and the game will be set up to use a single large array of Uint16 to hold the tiles. These index into a second array of "tile definitions" that are used by all parts of the engine, from collision handling to the graphics routine, which is my biggest concern.
The graphics engine is designed to run at a 640x480 resolution, with 32x32 tiles. There are 21x16 tiles drawn per layer per frame (to handle the extra tile that shows up when scrolling), and there are up to four layers that can be drawn. Layers are simply separate tile arrays, but the tile definition array is common to all four layers.
What I'm worried about is that I want to be able to take advantage of transparencies and animated tiles with this engine, and as I'm not too familiar with designs I'm worried that my current solution is going to be too inefficient to work well.
My target FPS is a flat 60 frames per second, and with all four layers being drawn, I'm looking at 21x16x4x60 = 80,640 separate 32x32px tiles needing to be drawn every second, plus however many odd-sized blits are needed for sprites, and this seems just a little excessive. So, is there a better way to approach rendering the tilemap setup I have? I'm looking towards possibilities of using hardware acceleration to draw the tilemaps, if it will help to improve performance much. I also want to hopefully be able to run this game well on slightly older computers as well.
If I'm looking for too much, then I don't think that reducing the engine's capabilities is out of the question.
I think the thing that will be an issue is the sheer amount of draw calls, rather than the total "fill rate" of all the pixels you are drawing. Remember - that is over 80000 calls per second that you must make. I think your biggest improvement will be to batch these together somehow.
One strategy to reduce the fill-rate of the tiles and layers would be to composite static areas together. For example, if you know an area doesn't need updating, it can be cached. A lot depends of if the layers are scrolled independently (parallax style).
Also, Have a look on Google for "dirty rectangles" and see if any schemes may fit your needs.
Personally, I would just try it and see. This probably won't affect your overall game design, and if you have good separation between logic and presentation, you can optimise the tile drawing til the cows come home.
Make sure to use alpha transparency only on tiles that actually use alpha, and skip drawing blank tiles. Make sure the tile surface color depth matches the screen color depth when possible (not really an option for tiles with an alpha channel), and store tiles in video memory, so sdl will use hardware acceleration when it can. Color key transparency will be faster than having a full alpha channel, for simple tiles where partial transparency or blending antialiased edges with the background aren't necessary.
On a 500mhz system you'll get about 6.8 cpu cycles per pixel per layer, or 27 per screen pixel, which (I believe) isn't going to be enough if you have full alpha channels on every tile of every layer, but should be fine if you take shortcuts like those mentioned where possible.
I agree with Kombuwa. If this is just a simple tile-based 2D game, you really ought to lower the standards a bit as this is not Crysis. 30FPS is very smooth (research Command & Conquer 3 which is limited to 30FPS). Even still, I had written a remote desktop viewer that ran at 14FPS (1900 x 1200) using GDI+ and it was still pretty smooth. I think that for your 2D game you'll probably be okay, especially using SDL.
Can you just buffer each complete layer into its view plus an additional tile size for all four ends(if you have vertical scrolling), use the buffer again to create a new buffer minus the first column and drawing on a new end column?
This would reduce a lot of needless redrawing.
Additionally, if you want a 60fps, you can look up ways to create frame skip methods for slower systems, skipping every other or every third draw phase.
I think you will be pleasantly surprised by how many of these tiles you can draw a second. Modern graphics hardware can fill a 1600x1200 framebuffer numerous times per frame at 60 fps, so your 640x480 framebuffer will be no problem. Try it and see what you get.
You should definitely take advantage of hardware acceleration. This will give you 1000x performance for very little effort on your part.
If you do find you need to optimise, then the simplest way is to only redraw the areas of the screen that have changed since the last frame. Sounds like you would need to know about any animating tiles, and any tiles that have changed state each frame. Depending on the game, this can be anywhere from no benefit at all, to a massive saving - it really depends on how much of the screen changes each frame.
You might consider merging neighbouring tiles with the same texture into a larger polygon with texture tiling (sort of a build process).
What about decreasing the frame rate to 30fps. I think it will be good enough for a 2D game.