There it shows both CUDA devices in the preferences and they are selected for use. To check detection of the CUDA devices I have run Blender in a VNC session on the compute node under VirtualGL. The blender 2.82.7 binary I’m using was manually compiled. One of the nodes has two GPUs (Tesla K40m’s) with working NVIDIA drivers, CUDA 10.2 installed, etc. b) Cycles rendering on a number of different compute nodes. * add the colour and light contributions to the accumulated colour */Īccum_color = mask * hitsphere.I’m working on some automated benchmarks in which we do headless (i.e. Ray.origin = hitpoint normal_facing * EPSILON * add a very small offset to the hitpoint to prevent self intersection */ * use the coordinte frame and random numbers to compute the next ray direction */įloat3 newdir = normalize(u * cos(rand1)*rand2s v*sin(rand1)*rand2s w*sqrt(1.0f - rand2)) If ((b disc) > EPSILON) return b disc īool intersect_scene(_constant Sphere* spheres, const Ray* ray, float* t, int* sphere_id, const int sphere_count) Unsigned int ires = ((*seed0) pos - ray->origin įloat c = dot(rayToCenter, rayToCenter) - sphere->radius*sphere->radius loop over all pixels, write RGB values PPM files can be opened with IrfanView (download at or GIMPįILE *f = fopen("opencl_raytracer.ppm", "w") įprintf(f, "P3\n%d %d\n%d\n", image_width, image_height, 255) write image to PPM file, a very simple image file format Void pickPlatform(Platform
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