Parallel randomly compressed cubes: A scalable distributed architecture for big tensor decomposition

Keyphrases

• Sparsity 100%
• Memory Storage 100%
• Tensor Decomposition 100%
• Size Reduction 100%
• Parallel Computing 100%
• Distributed Architecture 100%
• Distributed Computation 100%
• Parallel Processing 50%
• Novel Architectures 50%
• Low-rank 50%
• Latent Factors 50%
• MapReduce 50%
• Linear Equations 50%
• Memory Complexity 50%
• Rank-one 50%
• System Parameters 50%
• Tensor Mode 50%
• Massive Parallelism 50%
• Low-rank Tensor Decomposition 50%
• New Architecture 50%
• Computational Savings 50%
• Hadoop 50%
• Big Data Analytics 50%
• Low-rank Decomposition 50%
• Memory Saving 50%

Computer Science

• Sparsity 100%
• Parallel Computation 100%
• Distributed Architecture 100%
• Distributed Computation 100%
• Parallel Processing 50%
• Parallelism 50%
• Linear Equation 50%
• Map-Reduce 50%
• Hadoop 50%
• Big Data Analytics 50%
• System Parameter 50%

Engineering

• Sparsity 100%
• System Parameter 50%
• Rank Tensor 50%
• Latent Factor 50%
• Parallelism 50%
• MapReduce 50%
• Hadoop 50%
• Linear Equation 50%
• Big Data 50%