电子科技大学:《GPU并行编程 GPU Parallel Programming》课程教学资源(课件讲稿)Lecture 08 Parallel Sparse Methods

• 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
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