346 citations · 715 across the 29 of their papers we have counts for
8 papers · 2 filters
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…
Characterizing Deep-Learning I/O Workloads in TensorFlow
Steven W. D. Chien, Stefano Markidis, Chaitanya Prasad Sishtla +4
The performance of Deep-Learning (DL) computing frameworks rely on the performance of data ingestion and checkpointing. In fact, during the training, a considerable high number of…
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…
Exploring Scientific Application Performance Using Large Scale Object Storage
Steven Wei-der Chien, Stefano Markidis, Rami Karim +2
One of the major performance and scalability bottlenecks in large scientific applications is parallel reading and writing to supercomputer I/O systems. The usage of parallel file s…