61 citations · 174 across the 20 of their papers we have counts for
22 papers
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…
Data-driven Real-time Short-term Prediction of Air Quality: Comparison of ES, ARIMA, and LSTM
Iryna Talamanova, Sabri Pllana
Air pollution is a worldwide issue that affects the lives of many people in urban areas. It is considered that the air pollution may lead to heart and lung diseases. A careful and…
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…
HSTREAM: A directive-based language extension for heterogeneous stream computing
Suejb Memeti, Sabri Pllana
Big data streaming applications require utilization of heterogeneous parallel computing systems, which may comprise multiple multi-core CPUs and many-core accelerating devices such…
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities
Yasser Alsouda, Sabri Pllana, Arianit Kurti
We present a machine learning based method for noise classification using a low-power and inexpensive IoT unit. We use Mel-frequency cepstral coefficients for audio feature extract…
Using Meta-heuristics and Machine Learning for Software Optimization of Parallel Computing Systems: A Systematic Literature Review
Suejb Memeti, Sabri Pllana, Alecio Binotto +2
While modern parallel computing systems offer high performance, utilizing these powerful computing resources to the highest possible extent demands advanced knowledge of various ha…
Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption
Suejb Memeti, Lu Li, Sabri Pllana +2
Many modern parallel computing systems are heterogeneous at their node level. Such nodes may comprise general purpose CPUs and accelerators (such as, GPU, or Intel Xeon Phi) that p…
Using Cognitive Computing for Learning Parallel Programming: An IBM Watson Solution
Adrian Calvo Chozas, Suejb Memeti, Sabri Pllana
While modern parallel computing systems provide high performance resources, utilizing them to the highest extent requires advanced programming expertise. Programming for parallel c…
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…
Pushing STEM-education through a social-media-based contest format - experiences and lessons-learned from the H2020-project SciChallenge
Florian Huber, Bernhard Jäger, Sabri Pllana +8
Science education is a crucial issue with long-term impacts for Europe as the low enrolment rates in the STEM-fields, including (natural) science, technology, engineering and mathe…
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…
The Internet of Things for Aging and Independent Living: A Modeling and Simulation Study
David Perez, Suejb Memeti, Sabri Pllana
Population aging is affecting many countries, Sweden being one of them, and it may lead to a shortage of caregivers for elderly people in near future. Smart interconnected devices…
SciChallenge: Using Student-Generated Content and Contests to Enhance the Interest for Science Education and Careers
Sabri Pllana, Florian Huber, Zdenek Hrdlicka +6
Science education will play a vital role in shaping the present and future of modern societies. Thus, Europe needs all its talents to increase creativity and competitiveness. Young…
A Survey of the State of the Art in Data Mining and Integration Query Languages
Sabri Pllana, Ivan Janciak, Peter Brezany +1
The major aim of this survey is to identify the strengths and weaknesses of a representative set of Data-Mining and Integration (DMI) query languages. We describe a set of properti…
Analyzing large-scale DNA Sequences on Multi-core Architectures
Suejb Memeti, Sabri Pllana
Rapid analysis of DNA sequences is important in preventing the evolution of different viruses and bacteria during an early phase, early diagnosis of genetic predispositions to cert…
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…
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…
Challenges and Recommendations for Preparing HPC Applications for Exascale
Erika Abraham, Costas Bekas, Ivona Brandic +5
While the HPC community is working towards the development of the first Exaflop computer (expected around 2020), after reaching the Petaflop milestone in 2008 still only few HPC ap…
PaREM: A Novel Approach for Parallel Regular Expression Matching
Suejb Memeti, Sabri Pllana
Regular expression matching is essential for many applications, such as finding patterns in text, exploring substrings in large DNA sequences, or lexical analysis. However, sequent…
Efficient Hybrid Execution of C++ Applications using Intel(R) Xeon Phi(TM) Coprocessor
Jiri Dokulil, Enes Bajrovic, Siegfried Benkner +3
The introduction of Intel(R) Xeon Phi(TM) coprocessors opened up new possibilities in development of highly parallel applications. The familiarity and flexibility of the architectu…