intel graphics card 4600 change light cache size

4, 8, or 16: how big the loop is and whether it is even necessary depends on how much computation you are doing between reading and writing, since you may become compute bound, and then you need to switch to shorter vectors and smaller loops, or even avoid loops altogether. Sometimes, it is worth it to process several of vector data in a loop, e.g. 1) decrease the number of work items to a manageable amount (typically, 16 work items pack into a thread, there are 7 threads per execution units (EU), let's say you have 20 EUs in your Intel GPU, then your global size should be 8-12 times available hardware resources or 8-12 16 wi/t 7 t/EU 20 EUs. Keep in mind, that a kernel could also be compiled SIMD8 (heavy use of private memory) or SIMD32 (really short ones), so the number of optimal global size will adjust accordingly.Ģ) our architecture works best when each work item reads ~16 bytes at a time, so the best data types to use are uchar16, uint4, int4, float4 - you get the idea. Then processing a tile of 16 by 16 bytes by looping 16 times over uchar16 processing.ġ) decrease the number of work items to a manageable amount (typically, 16 work items pack into a thread, there are 7 threads per execution units (EU), let's say you have 20 EUs in your Intel GPU, then your global size should be ~8-12 times available hardware resources or ~8-12 * 16 wi/t * 7 t/EU * 20 EUs. They then progress to processing sixteen bytes (uchar16). The samples start with processing one byte (uchar) in a kernel. Relevant sample zip files are at the bottom of that article (Sobel.zip and Modulate.zip). I think the concept Julia is trying to explain is best explained in my videos on simple OpenCL kernel optimizations.

Intel graphics card 4600 change light cache size