Well here are two examples. 1) I have a rail system that I want to optimize train movement through the topology. My search space is the number of running locom

Well here are two examples. 1) I have a rail system that I want to optimize train movement through the topology. My search space is the number of running locomotives to the power of the number of switches in the system. On a continental rail system, that's a number with many, many, many zeros after it. To optimize this, I have many cores chewing through the space, but to know where to search they must share a visited node cache otherwise they will search each others space and waste effort. 2) I have a system that predicts part failures by collecting sensor data of the machine in a time series. I must look for patterns of change in these sensor readings and compare that to patterns that I know about, often drilling through data over many weeks looking for feature alignment in the sensor matrices. Same problem: many cores, some amount of space that is known vs. unknown that must be shared, but as a result is a contentious resource.