41 citations · 60 across the 8 of their papers we have counts for
5 papers · 1 filter
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices
Zhen Du, Jiajia Li, Yinshan Wang +3
Sparse Matrix-Vector multiplication (SpMV) is an essential computational kernel in many application scenarios. Tens of sparse matrix formats and implementations have been proposed…
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms
Zhuoqiang Guo, Denghui Lu, Yujin Yan +11
High-performance computing, together with a neural network model trained from data generated with first-principles methods, has greatly boosted applications of \textit{ab initio} m…
GRE: A Graph Runtime Engine for Large-Scale Distributed Graph-Parallel Applications
Jie Yan, Guangming Tan, Ninghui Sun
Large-scale distributed graph-parallel computing is challenging. On one hand, due to the irregular computation pattern and lack of locality, it is hard to express parallelism effic…
Compression and Sieve: Reducing Communication in Parallel Breadth First Search on Distributed Memory Systems
Huiwei Lv, Guangming Tan, Mingyu Chen +1
For parallel breadth first search (BFS) algorithm on large-scale distributed memory systems, communication often costs significantly more than arithmetic and limits the scalability…
A New and Efficient Algorithm-Based Fault Tolerance Scheme for A Million Way Parallelism
Erlin Yao, Mingyu Chen, Rui Wang +2
Fault tolerance overhead of high performance computing (HPC) applications is becoming critical to the efficient utilization of HPC systems at large scale. HPC applications typicall…