3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.DC2020★ 1 cited
Applying the Roofline model for Deep Learning performance optimizations
Jacek Czaja, Michal Gallus, Joanna Wozna +2
In this paper We present a methodology for creating Roofline models automatically for Non-Unified Memory Access (NUMA) using Intel Xeon as an example. Finally, we present an evalua…
cs.MS2019★ 3 cited
Softmax Optimizations for Intel Xeon Processor-based Platforms
Jacek Czaja, Michal Gallus, Tomasz Patejko +1
Softmax is popular normalization method used in machine learning. Deep learning solutions like Transformer or BERT use the softmax function intensively, so it is worthwhile to opti…