Dynamic memory allocation tends to be non-deterministic; the time taken to allocate memory may not be predictable and the memory pool may become fragmented, resulting in unexpected allocation failures ...

Write program to run in parallel? Yes. Did you remember to use a Scalable Memory Allocator? No? Then read on … In my experience, making sure “memory allocation” for a program is ready for ...

If you really want to prevent your C++ programs from using dynamic memory allocation, you should replace all four variants of operator new with versions that cause link errors.

But the general takeaway seems to be that Dynamic Caching allows the GPU to have more efficient memory allocation. Simple enough, right?