25 citations · 27 across the 5 of their papers we have counts for
6 papers · 1 filter
ParaWeb: Parallel Programming Patterns for Web Development
Suejb Memeti
Modern web applications increasingly require computationally intensive processing, yet JavaScript, the dominant language of the web, has traditionally been limited to a single-thre…
Enabling Dynamic Selection of Implementation Variants in Component-Based Parallel Programming for Heterogeneous Systems
Suejb Memeti
Heterogeneous systems, consisting of CPUs and GPUs, offer the capability to address the demands of compute- and data-intensive applications. However, programming such systems is ch…
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…