The latter was necessary to ensure that the whole data set does not fit in cache (and thus report unrealistically high bandwidth). One cause of cache contention arises from column-strided memory access patterns that GPU applications commonly generate in many data-intensive applications. The memory accesses are close, and can be retrieved in one go/block (or the least number of requests). • An overhead of distributing the data elements after the operations. interleave vectorizer does this) Costing changes: Identify number of Load[s]/Store[s] & Shuffle[s] required to model Load/Store operation by considering SkipFactor. strided. Data packing means your data may be contiguous or not contiguous in memory, and may use strides to identify the jumps in memory consecutive indices need to take for each dimension. Allow to fine tune the memory pattern of the scratchpad memory. Here you can see that these 4 threads require 2 memory block requests. this parallel4all blog post). . The logical view of the above tensor is visualized below. /** Pixel data. Outline Overview Hardware Memory Optimizations Data transfers between host and device OLAP queries scanning on specified columns cause so-called strided accesses and result in poor memory performance. Strided memory access Strided access is a specific case of gather / scatter ---- Stride is a compile time constant ---- for (unsigned i=0; i