Shaden Smith
Microsoft (United States)(US)
Publications by Year
Research Areas
Tensor decomposition and applications, Parallel Computing and Optimization Techniques, Recommender Systems and Techniques, Topic Modeling, Algorithms and Data Compression
Most-Cited Works
- → Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model(2022)299 cited
- → SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication(2015)216 cited
- → Tensor-matrix products with a compressed sparse tensor(2015)131 cited
- → Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations(2020)118 cited
- → Accelerating the Tucker Decomposition with Compressed Sparse Tensors(2017)53 cited
- → Truss decomposition on shared-memory parallel systems(2017)52 cited
- → Bridging the gap between HPC and big data frameworks(2017)48 cited
- → A Medium-Grained Algorithm for Sparse Tensor Factorization(2016)44 cited
- → Streaming Tensor Factorization for Infinite Data Sources(2018)44 cited
- → Big Data Frequent Pattern Mining(2014)36 cited