– To provide you with a framework for further studies on – Thinking about the problems of parallel programming – Discussing your work with others – Approaching complex parallel programming problems – Using or building useful tools and environments
• To learn to regularize irregular data with – Limiting variations with clamping – Sorting – Transposition • To learn to write a high-performance SpMV kernel based on JDS transposed format • To learn the key techniques for compacting input data in parallel sparse methods for reduced consumption of memory bandwidth – Better utilization of on-chip memory – Fewer bytes transferred to on-chip memory – Better utilization of global memory – Challenge: retaining regularity
