20 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.DC2018★ 1 cited
Data-parallel distributed training of very large models beyond GPU capacity
Samuel Matzek, Max Grossman, Minsik Cho +3
GPUs have limited memory and it is difficult to train wide and/or deep models that cause the training process to go out of memory. It is shown in this paper how an open source tool…
cs.PF2016★ 20 cited
A survey of sparse matrix-vector multiplication performance on large matrices
Max Grossman, Christopher Thiele, Mauricio Araya-Polo +3
We contribute a third-party survey of sparse matrix-vector (SpMV) product performance on industrial-strength, large matrices using: (1) The SpMV implementations in Intel MKL, the T…