25 citations · 27 across the 5 of their papers we have counts for
6 papers
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach
Suejb Memeti, Sabri Pllana
Heterogeneous computing systems provide high performance and energy efficiency. However, to optimally utilize such systems, solutions that distribute the work across host CPUs and…
Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout
Sabri Pllana, Suejb Memeti, Joanna Kolodziej
Determining the optimal location of control cabinet components requires the exploration of a large configuration space. For real-world control cabinets it is impractical to evaluat…
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…
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…
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…
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…