Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a new sparse matrix data format that leads to improved memory coalescing and more efficient sparse matrix-vector multiplication for a wide range of problems on high-throughput architectures such as a GPU. The sparse matrix structure is constructed by sorting the rows based on the row length defined as the number of non-zero elements in a matrix row follod by a partition into two ranges, short rows and long rows. Based on this partition, the matrix entries are then transformed into ELLPACK or vectorized compressed sparse row format. In addition, the number of threads are adaptively selected by their row length, in order to balance the workload for each graphics processing unit thread. Several computational experiments are presented to support this approach and the results suggest a notable improvement over a wide range of matrix structures.
['Dahai Guo', 'William Gropp', 'Luke N. Olson']
I am writing a research paper on a idea A hybrid format for better performance of sparse matrix-vector multiplication on a GPU
[{"from": "human", "value": "I am writing a research paper on a idea A hybrid format for better performance of sparse matrix-vector multiplication on a GPU"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a new sparse matrix data format that leads to improved memory coalescing and more efficient sparse matrix-vector multiplication for a wide range of problems on high-throughput architectures such as a GPU. The sparse matrix structure is constructed by sorting the rows based on the row length defined as the number of non-zero elements in a matrix row follod by a partition into two ranges, short rows and long rows. Based on this partition, the matrix entries are then transformed into ELLPACK or vectorized compressed sparse row format. In addition, the number of threads are adaptively selected by their row length, in order to balance the workload for each graphics processing unit thread. Several computational experiments are presented to support this approach and the results suggest a notable improvement over a wide range of matrix structures."}]