activity
20122022
most citedCHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi

25 citations · 55 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.DC2023

DECICE: Device-Edge-Cloud Intelligent Collaboration Framework

Julian Kunkel, Christian Boehme, Jonathan Decker +11

DECICE is a Horizon Europe project that is developing an AI-enabled open and portable management framework for automatic and adaptive optimization and deployment of applications in…

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.DC201725 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.DC2016

Combinatorial Optimization of Work Distribution on Heterogeneous Systems

Suejb Memeti, Sabri Pllana

We describe an approach that uses combinatorial optimization and machine learning to share the work between the host and device of heterogeneous computing systems such that the ove…

cs.DC201519 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…

cs.DC20152 cited

Accelerating DNA Sequence Analysis using Intel Xeon Phi

Suejb Memeti, Sabri Pllana

Genetic information is increasing exponentially, doubling every 18 months. Analyzing this information within a reasonable amount of time requires parallel computing resources. Whil…