Having seen the answers coming out of questions like this one involving horror shows like trying to catch the NPE and dredge the mangled name out of the stack trace, I am asking this question so I ...

I am trying to understand the relationship between memory coalescing on NVIDIA GPUs/CUDA and vectorized memory access on x86-SSE/C++. It is my understanding that: Memory coalescing is a run-tim...

I have several ways of calculating a value, in decreasing preference. firstWay() second() + way() orA(thirdWay()) Each of these returns an Option. I want to "coalesce" these and get an Option wh...

Why is the C# null coalescing operator not able to figure this out? Cat c = new Cat(); Dog d = null; Animal a = d ?? c; This will give the error Operator ?? cannot be applied to operands of...

So the idea that I have about coalescing memory accesses in CUDA is, that threads in a warp should access contiguous memory addresses, as that will only cause a single memory transaction (the value...

I have read CUDA programming guide, but i missed one thing. Let's say that i have array of 32bit int in global memory and i want to copy it to shared memory with coalesced access. Global array has...

Could you please explain the differences between using both "L1 and L2" caches or "only L2" cache in CUDA programming? What should I expect in time execution? When could I expect smaller gpu time? ...