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DXF Exporter DLL is a free software. The program enables you to quickly export graphic objects from any 3D modeling application to DXF format files. The DXF Exporter DLL will convert your 3D model into DXF format. You can then use the DXF Exporter DLL to create a DXF file and render it to a PDF or EPS format file for distribution to other users.
DXF Exporter DLL Key Features:
Batch-mode DXF Exporter: You can now convert hundreds of graphic objects from various 3D applications to DXF format at once.
Supports DXF Style files and Metafiles: You can now export models made using most 3D modeling applications including 3DStudio, SolidWorks, Autodesk 3DS Max, Solid Edge, MicroStation,…
DXF Exporter DLL Supports All Input Files: You can now export 3D models made with the following 3D applications:
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The DXF Exporter DLL supports all types of geometric models. If your 3D model uses non-manifold polyhedrons, use the DXF Exporter DLL to export them as well.
Supports SketchUp Drawings and Exported DXF Models: The DXF Exporter DLL works with the.sketchup drawing (.dwg) and.dxf files created by SketchUp, the 3D drawing application for Windows.
Supports.dwg and.dxf Files Created by AutoCAD, and.dwg Files Created by MicroStation: The DXF Exporter DLL supports.dwg and.dxf files created by most Windows-based applications such as AutoCAD, MicroStation, and 3DS Max. If your models were created with these applications, you can use the DXF Exporter DLL to export them to DXF format.
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* Apple 3D Studio
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The best way to iterate through a vector and all its values

I’m writing a CUDA kernel that should do the following:
for each thread i:
1. thread i reads some values from a vector
2. thread i determines the degree of divergence of i from 0
3. if i is the highest-diverged thread, then the threads below i are copied to a new vector and the threads above i are discarded

Can anyone give me some suggestion about the best way to implement such a task in CUDA?

A:

If all you need to do is discard threads, then this would be very easy to implement in a CUDA kernel:
__global__ void gather(…)
{

//discard threads
if (threadIdx.x == 0)
return;

}

If, however, you also need to update the vector of threads in some way, then I recommend a different solution:
A pair of data structs are declared in global memory, one of which is a counter, the other of

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