Giving low-level control to the compiler enables better utilization of datapath resources, which ultimately result in better performance.
The benefits of NISC technology are: The instruction set and controller of processors are the most tedious and time-consuming parts to design.
In fact, one of the benefits of this architecture style is its capability to bridge these two technologies (custom processor design and HLS).
[4] According to TechCrunch, software emulations of these types of chips are currently used for image recognition by many large tech companies, such as Facebook and Google.
When applied to other miscellaneous pattern detection tasks, such as with text, results are said to be produced in microseconds even with chips released in 2007.
[1] Junko Yoshida, of the EE Times, compared the NeuroMem chip with "The Machine", a machine capable of being able to predict crimes from scanning people's faces from the television series Person of Interest, describing it as "the heart of big data" and "foreshadow[ing] a real-life escalation in the era of massive data collection".