Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Building a Performance Model for Deep Learning Recommendation Model
  Training on GPUs   We devise a performance model for GPU training of Deep Learning
Recommendation Models (DLRM), whose GPU utilization is low compared to other
well-optimized CV and NLP models. We show that both the device active time (the
sum of kernel runtimes) and the device idle time are important components of
the overall device time. We therefore tackle them separately by (1) flexibly
adopting heuristic-based and ML-based kernel performance models for operators
that dominate the device active time, and (2) categorizing operator overheads
into five types to determine quantitatively their contribution to the device
active time. Combining these two parts, we propose a critical-path-based
algorithm to predict the per-batch training time of DLRM by traversing its
execution graph. We achieve less than 10% geometric mean average error (GMAE)
in all kernel performance modeling, and 5.23% and 7.96% geomean errors for GPU
active time and overall end-to-end per-batch training time prediction,
respectively. We show that our general performance model not only achieves low
prediction error on DLRM, which has highly customized configurations and is
dominated by multiple factors, but also yields comparable accuracy on other
compute-bound ML models targeted by most previous methods. Using this
performance model and graph-level data and task dependency analyses, we show
our system can provide more general model-system co-design than previous
methods.

12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics