5 citations · 6 across the 2 of their papers we have counts for
5 papers
Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs
Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos +2
In recent years, heterogeneous computing has emerged as the vital way to increase computers? performance and energy efficiency by combining diverse hardware devices, such as Graphi…
Towards High Performance Java-based Deep Learning Frameworks
Athanasios Stratikopoulos, Juan Fumero, Zoran Sevarac +1
The advent of modern cloud services along with the huge volume of data produced on a daily basis, have set the demand for fast and efficient data processing. This demand is common…
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality
Sajad Saeedi, Bruno Bodin, Harry Wagstaff +23
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge. Often referred to as SLAM (Simultaneous Localisation and Mapping), it is cent…
Tornado: A Practical And Efficient Heterogeneous Programming Framework For Managed Languages
James Clarkson, Christos Kotselidis
This paper describes our experiences creating Tornado: a practical and efficient heterogeneous programming framework for managed languages. The novel aspect of Tornado is that it t…
Towards co-designed optimizations in parallel frameworks: A MapReduce case study
Colin Barrett, Christos Kotselidis, Mikel Luján
The explosion of Big Data was followed by the proliferation of numerous complex parallel software stacks whose aim is to tackle the challenges of data deluge. A drawback of a such…