51 citations · 61 across the 11 of their papers we have counts for
5 papers · 1 filter
Accelerating Java Ray Tracing Applications on Heterogeneous Hardware
Vinh Pham Van, Juan Fumero, Athanasios Stratikopoulos +2
Ray tracing has been typically known as a graphics rendering method capable of producing highly realistic imagery and visual effects generated by computers. More recently the perfo…
NUMAscope: Capturing and Visualizing Hardware Metrics on Large ccNUMA Systems
Daniel J. Blueman, Foivos Zakkak, Christos Kotselidis
Cache-coherent non-uniform memory access (ccNUMA) systems enable parallel applications to scale-up to thousands of cores and many terabytes of main memory. However, since remote ac…
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…
Project Beehive: A Hardware/Software Co-designed Stack for Runtime and Architectural Research
Christos Kotselidis, Andrey Rodchenko, Colin Barrett +14
The end of Dennard scaling combined with stagnation in architectural and compiler optimizations makes it challenging to achieve significant performance deltas. Solutions based sole…
Boosting Java Performance using GPGPUs
James Clarkson, Christos Kotselidis, Gavin Brown +1
Heterogeneous programming has started becoming the norm in order to achieve better performance by running portions of code on the most appropriate hardware resource. Currently, sig…