2 citations · 3 across the 3 of their papers we have counts for
Showing cs.DCShow all
3 papers · 1 filter
cs.DC2022
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management
Qiange Wang, Xin Ai, Yanfeng Zhang +2
Processing large graphs with memory-limited GPU needs to resolve issues of host-GPU data transfer, which is a key performance bottleneck. Existing GPU-accelerated graph processing…
cs.DC2017★ 1 cited
Maiter: An Asynchronous Graph Processing Framework for Delta-based Accumulative Iterative Computation
Yanfeng Zhang, Qixin Gao, Lixin Gao +1
Myriad of graph-based algorithms in machine learning and data mining require parsing relational data iteratively. These algorithms are implemented in a large-scale distributed envi…
cs.DC2015★ 2 cited
i2MapReduce: Incremental MapReduce for Mining Evolving Big Data
Yanfeng Zhang, Shimin Chen, Qiang Wang +1
As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Incremental processing is a promising approach to refr…