5 papers
Exploring the Vision Processing Unit as Co-processor for Inference
Sergio Rivas-Gomez, Antonio J. Peña, David Moloney +2
The success of the exascale supercomputer is largely debated to remain dependent on novel breakthroughs in technology that effectively reduce the power consumption and thermal diss…
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks
Sergio Rivas-Gomez, Sai Narasimhamurthy, Keeran Brabazon +3
In this work, we consider the integration of MPI one-sided communication and non-blocking I/O in HPC-centric MapReduce frameworks. Using a decoupled strategy, we aim to overlap the…
MPI Windows on Storage for HPC Applications
Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng +4
Upcoming HPC clusters will feature hybrid memories and storage devices per compute node. In this work, we propose to use the MPI one-sided communication model and MPI windows as un…
The SAGE Project: a Storage Centric Approach for Exascale Computing
Sai Narasimhamurthy, Nikita Danilov, Sining Wu +8
SAGE (Percipient StorAGe for Exascale Data Centric Computing) is a European Commission funded project towards the era of Exascale computing. Its goal is to design and implement a B…
SAGE: Percipient Storage for Exascale Data Centric Computing
Sai Narasimhamurthy, Nikita Danilov, Sining Wu +7
We aim to implement a Big Data/Extreme Computing (BDEC) capable system infrastructure as we head towards the era of Exascale computing - termed SAGE (Percipient StorAGe for Exascal…