2D Static Resource Allocation for Compressed Linear Algebra and Communication Constraints
2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)(2020)
摘要
This paper adresses static resource allocation problems for irregular distributed parallel applications. More precisely, we focus on two classical tiled linear algebra kernels: the Matrix Multiplication and the LU decomposition algorithms on large dense linear systems. In the context of parallel distributed platforms, data exchanges can dramatically degrade the performance of linear algebra kernel...
更多查看译文
关键词
Linear systems,Program processors,Limiting,Distributed databases,Memory,Load management,Minimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要