Scheduling for heterogeneous systems in accelerator-rich environments
The world is creating ever more data and the applications are required to deal with ever-
increasing datasets. To process such datasets heterogeneous and manycore accelerators …
increasing datasets. To process such datasets heterogeneous and manycore accelerators …
AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing
With the rapid development of deep learning, recent research on intelligent and interactive
mobile applications (eg, health monitoring, speech recognition) has attracted extensive …
mobile applications (eg, health monitoring, speech recognition) has attracted extensive …
CoLoc: Distributed data and container colocation for data-intensive applications
The performance of scalable analytic frameworks supporting data-intensive parallel
applications often depends significantly on the time it takes to read input data. Therefore …
applications often depends significantly on the time it takes to read input data. Therefore …
Aufgabengerechte Informationsbereitstellung in Zeiten von Big Data
M Pospiech - … für ein Informationsmanagement/von Marco Pospiech.-, 2019 - Springer
Um den drastischen Anstieg an verfügbaren Daten zu versinnbildlichen, hat sich in den
letzten Jahren das Synonym Big Data in der praktischen und wissenschaftlichen Diskussion …
letzten Jahren das Synonym Big Data in der praktischen und wissenschaftlichen Diskussion …