25 citations · 44 across the 3 of their papers we have counts for
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cs.DC2019
Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures
Andre Viebke, Sabri Pllana, Suejb Memeti +1
Many complex problems, such as natural language processing or visual object detection, are solved using deep learning. However, efficient training of complex deep convolutional neu…
cs.DC2017★ 25 cited
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
Andre Viebke, Suejb Memeti, Sabri Pllana +1
Deep learning is an important component of big-data analytic tools and intelligent applications, such as, self-driving cars, computer vision, speech recognition, or precision medic…
cs.DC2015★ 19 cited
The Potential of the Intel Xeon Phi for Supervised Deep Learning
Andre Viebke, Sabri Pllana
Supervised learning of Convolutional Neural Networks (CNNs), also known as supervised Deep Learning, is a computationally demanding process. To find the most suitable parameters of…