Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

Efficient Execution Paradigms for Parallel Heterogeneous Architectures

Koukos, K. 2016. Efficient Execution Paradigms for Parallel Heterogeneous Architectures. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1405. 54 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9654-8. This thesis proposes novel, efficient execution-paradigms for parallel heterogeneous architectures. The end of Dennard scaling is ...

Exploiting silicon photonics for energy-efficient heterogeneous parallel architectures

Welcome to this special issue of the journal Concurrency and Computation: Practice and Experience on Exploiting Silicon Photonics for Energy-Efficient Heterogeneous Parallel Architectures, which contains five original manuscripts that cover a complete range of perspectives. Silicon photonics is undoubtedly expected to play a big role in the evolution in board, crosschip, interposer-level and on...

Parallel Execution Aware Data Structures

e observation that parallel processing inevitably runs into issues managing data movement is hardly new. e old joke “a supercomputer is an expensive device that transforms a compute-bound problem into an I/Obound problem” now has a new variant: “a manycore processor is a device that transforms a compute-bound problem into a memory bound problem.” As we enter the multicore and manycore era, data...

Automatic OpenCL Task Adaptation for Heterogeneous Architectures

OpenCL defines a common parallel programming language for all devices, although writing tasks adapted to the devices, managing communication and load-balancing issues are left to the programmer. In this work, we propose a novel automatic compiler and runtime technique to execute single OpenCL kernels on heterogeneous multi-device architectures. The technique proposed is completely transparent t...

Energy-Aware Data Management on NUMA Architectures