Sparse Matrix-Vector Multiplication: A Data Mapping-Based Architecture
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In this paper, a data mapping method is proposed for SMVM on Network-on-Chip which achieves balanced working load and reduces the communication cost. Afterwards ...
In this paper, a data mapping method is proposed for. SMVM on Network-on-Chip which achieves balanced working load and reduces the communication cost.
In this paper, a data mapping method is proposed for SMVM on Network-on-Chip which achieves balanced working load and reduces the communication cost. Afterwards ...
There is a trade-off between balanced workload distribution and minimal communication for selecting the efficient data mapping method for SpMV.
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Apr 9, 2024 · This survey is intended to provide researchers with a comprehensive understanding of SpMV optimization on modern architectures and provide guidance for future ...
Two methods of data mapping for SMVM based on Network-on-Chip (NoC) in order to spread the load among its components and the effect of reordering of the ...
In this paper we introduce two methods of data mapping for SMVM based on Network-on-Chip (NoC) in order to spread the load among its components. Later, we ...
First, we design efficient SpMV algorithms for current and future PIM systems, covering a wide variety of sparse matrices with diverse sparsity patterns. Second ...
We explore SpMV meth- ods that are well-suited to throughput-oriented architectures like the GPU and which exploit several common sparsity classes. The.
Abstract. Our proposal for accelerating the computation of Sparse Matrix Vector Mul- tiplication is a Map-Reduce Accelerator as part of a heterogenous ...