219 citations · 254 across the 5 of their papers we have counts for
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cs.DC2023
A Theory of I/O-Efficient Sparse Neural Network Inference
Niels Gleinig, Tal Ben-Nun, Torsten Hoefler
As the accuracy of machine learning models increases at a fast rate, so does their demand for energy and compute resources. On a low level, the major part of these resources is con…
cs.DC2022★ 1 cited
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Maciej Besta, Cesare Miglioli, Paolo Sylos Labini +11
Important graph mining problems such as Clustering are computationally demanding. To significantly accelerate these problems, we propose ProbGraph: a graph representation that enab…