339 citations · 728 across the 7 of their papers we have counts for
7 papers
A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent
Wanjing Wei, Yangzihao Wang, Pin Gao +2
Real-world node embedding applications often contain hundreds of billions of edges with high-dimension node features. Scaling node embedding systems to efficiently support these ap…
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems
Haidong Rong, Yangzihao Wang, Feihu Zhou +8
We present Distributed Equivalent Substitution (DES) training, a novel distributed training framework for large-scale recommender systems with dynamic sparse features. DES introduc…
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Xianyan Jia, Shutao Song, Wei He +11
Synchronized stochastic gradient descent (SGD) optimizers with data parallelism are widely used in training large-scale deep neural networks. Although using larger mini-batch sizes…
A Comparative Study on Exact Triangle Counting Algorithms on the GPU
Leyuan Wang, Yangzihao Wang, Carl Yang +1
We implement exact triangle counting in graphs on the GPU using three different methodologies: subgraph matching to a triangle pattern; programmable graph analytics, with a set-int…
Gunrock: GPU Graph Analytics
Yangzihao Wang, Yuechao Pan, Andrew Davidson +8
For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs, have presented two significant challenges to d…
Multi-GPU Graph Analytics
Yuechao Pan, Yangzihao Wang, Yuduo Wu +2
We present a single-node, multi-GPU programmable graph processing library that allows programmers to easily extend single-GPU graph algorithms to achieve scalable performance on la…
Gunrock: A High-Performance Graph Processing Library on the GPU
Yangzihao Wang, Andrew Davidson, Yuechao Pan +3
For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs have been two significant challenges for develo…