GPUs are designed specifically for graphics and thus are very restrictive in operations and programming. Due to their design, GPUs are only effective for problems that can be solved using stream processing and the hardware can only be used in certain ways.
Arithmetic intensity is defined as the number of operations performed per word of memory transferred. It is important for GPGPU applications to have high arithmetic intensity else the memory access latency will limit computational speedup. 22 »
Ideal GPGPU applications have large data sets, high parallelism, and minimal dependency between data elements.
Simple advice to anyone considering a quad-core Intel platform in early 2017 is to opt for the Kaby Lake/Z270 combination, though upgraders from a recent motherboard can, if they so choose, simply drop in the latest Core i7 and Core i5.
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