11 citations · 17 across the 5 of their papers we have counts for
5 papers
"Sliced" Subwindow Search: a Sublinear-complexity Solution to the Maximum Rectangle Problem
Max Reuter, Gheorghe-Teodor Bercea, Liana Fong
Considering a 2D matrix of positive and negative numbers, how might one draw a rectangle within it whose contents sum higher than all other rectangles'? This fundamental problem, c…
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing
Wei Tan, Shiyu Chang, Liana Fong +3
Matrix factorization (MF) discovers latent features from observations, which has shown great promises in the fields of collaborative filtering, data compression, feature extraction…
CuMF_SGD: Fast and Scalable Matrix Factorization
Xiaolong Xie, Wei Tan, Liana L. Fong +1
Matrix factorization (MF) has been widely used in e.g., recommender systems, topic modeling and word embedding. Stochastic gradient descent (SGD) is popular in solving MF problems…
Analysis and Modeling of Social Influence in High Performance Computing Workloads
Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang +2
Social influence among users (e.g., collaboration on a project) creates bursty behavior in the underlying high performance computing (HPC) workloads. Using representative HPC and c…
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs
Wei Tan, Liangliang Cao, Liana Fong
Matrix factorization (MF) is employed by many popular algorithms, e.g., collaborative filtering. The emerging GPU technology, with massively multicore and high intra-chip memory ba…