PPoPP 2016
Sat 12 - Wed 16 March 2016 Barcelona, Spain
Mon 14 Mar 2016 15:10 - 15:35 at Mallorca+Menorca - Algorithms Chair(s): Lawrence Rauchwerger

Non-negative matrix factorization (NMF) is the problem of determining two non-negative low rank factors W and H, for the given input matrix A, such that A ≈ WH. NMF is a useful tool for many applications in different domains such as topic modeling in text mining, background separation in video analysis, and community detection in social networks. Despite its popularity in the data mining community, there is a lack of efficient distributed algorithms to solve the problem for big data sets.

We propose a high-performance distributed-memory parallel algorithm that computes the factorization by iteratively solving alternating non-negative least squares (NLS) subproblems for W and H. It maintains the data and factor matrices in memory (distributed across processors), uses MPI for interprocessor communication, and, in the dense case, provably minimizes communication costs (under mild assumptions). As opposed to previous implementations, our algorithm is also flexible: (1) it performs well for both dense and sparse matrices, and (2) it allows the user to choose any one of the multiple algorithms for solving the updates to low rank factors W and H within the alternating iterations. We demonstrate the scalability of our algorithm and compare it with baseline implementations, showing significant performance improvements.

Mon 14 Mar

Displayed time zone: Belfast change

14:20 - 16:00
AlgorithmsMain conference at Mallorca+Menorca
Chair(s): Lawrence Rauchwerger Texas A&M University
14:20
25m
Talk
Articulation Point Guided Redundancy Elimination for Betweenness Centrality
Main conference
Lei Wang Institute of Computing Technology, Chinese Academy of Science, Fan Yang Institute of Computing Technology, Chinese Academy of Science, Liangji Zhuang Institute of Computing Technology, Chinese Academy of Science, Huimin Cui Institute of Computing Technology, Chinese Academy of Sciences, Fang Lv Institute of Computing Technology, Chinese Academy of Sciences, Xiaobing Feng ICT CAS
Link to publication DOI
14:45
25m
Talk
Multi-Core On-The-Fly SCC DecompositionArtifact Evaluation
Main conference
Vincent Bloemen University of Twente, Alfons Laarman Vienna University of Technology, Jaco van de Pol University of Twente
Link to publication DOI
15:10
25m
Talk
A High-Performance Parallel Algorithm for Nonnegative Matrix Factorization
Main conference
Ramakrishnan Kannan Georgia Institute of Technology, Grey Ballard Sandia National Laboratories, Haesun Park Georgia Institute of Technology
Link to publication DOI
15:35
25m
Talk
Autogen: Automatic Discovery of Cache-Oblivious Parallel Recursive Algorithms for Solving Dynamic ProgramsArtifact Evaluation
Main conference
Rezaul Chowdhury Stony Brook University, Pramod Ganapathi Stony Brook University, Jesmin Jahan Tithi Intel, CA, USA, Charles Bachmeier MIT, Bradley Kuszmaul MIT, Charles E. Leiserson MIT, Armando Solar-Lezama MIT, Yuan Tang Fudan University
Link to publication DOI