Title
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale
Abstract
We present a distributed-memory algorithm for sparse matrix-matrix multiplication (SpGEMM) of extremely large matrices where the generated output is larger than the aggregated memory of a target supercomputer. We address this challenge by splitting the computation into batches with each batch generating a set of output columns. We developed a distributed symbolic step to understand the memory requ...
Year
DOI
Venue
2021
10.1109/IPDPS49936.2021.00018
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
Keywords
DocType
ISSN
Proteins,Three-dimensional displays,Social networking (online),Scientific computing,Memory management,Genomics,Parallel processing
Conference
1530-2075
ISBN
Citations 
PageRank 
978-1-6654-4066-0
1
0.37
References 
Authors
0
4
Name
Order
Citations
PageRank
Md Taufique Hussain110.37
R. Oguz Selvitopi2345.87
Aydin Buluc3105767.49
Ariful Azad413815.71