In the general space of computing, what kinds of alternatives to the Xeon Phi are there that want to do their own mini-supercomputer tasks? (very subjective on

In the general space of computing, what kinds of alternatives to the Xeon Phi are there that want to do their own mini-supercomputer tasks? (very subjective on task definition, but for now let's suppose things that are hard to do on a GPU effectively). It seems like the Parallella tried to get close, but did not succeed in breaking into the market. (On Amazon, looks to be marketed more for a high powered raspberry pi alternative...) Which seems to be more useful? The power to compile same code with alternate flags (Xeon Phi style); cross-compile to other arch's (x86 host -> ARM binary); JIT bytecode, LLVM bitcode, or Intermediate-Representation formats? What kind of access patterns would be most common for a hobbyist or an enterprise to cater to? For example, one issue the Xeon Phi has is memory controller contention, which makes it less optimal for less structured relational analysis.