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High-performance dense tucker decomposition on GPU clusters., , and . SC, page 42:1-42:11. IEEE / ACM, (2018)Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams., , , , , , , and . IPDPS, page 402-412. IEEE, (2023)Efficient, out-of-memory sparse MTTKRP on massively parallel architectures., , , , , , , , and . ICS, page 26:1-26:13. ACM, (2022)Invited Talk 1.. IPDPS Workshops, page 391. IEEE, (2019)Blocking Optimization Techniques for Sparse Tensor Computation., , , and . IPDPS, page 568-577. IEEE Computer Society, (2018)An Early Performance Study of Large-Scale POWER8 SMP Systems., , , , , , , and . IPDPS, page 263-272. IEEE Computer Society, (2016)Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks., , , and . IPDPS, page 447-457. IEEE Computer Society, (2014)High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach., , , , , , and . SC, page 69:1-69:11. ACM, (2011)Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation., , , , , , , , , and . CoRR, (2024)On Optimizing Distributed Tucker Decomposition for Dense Tensors., , , , , , and . IPDPS, page 1038-1047. IEEE Computer Society, (2017)