‘Accelerating Deep Learning Training Through Transparent Storage Tiering’ is the title of the new paper presented at the 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid 22). This paper was made by Marco Dantas, Ricardo Macedo, and João Paulo (from INESC TEC), Peter Cui, and Weija Xu Read more…
Storage is a crucial aspect of HPC clusters. Storage nodes are typically shared among multiple users, and are highly utilized – there isn’t a lot of unused space. The storage nodes also experience a lot of reads and writes – data is typically written, deleted, and written again multiple times. Read more…
Date: May 5, 2022 | 3.00 p.m. (GMT+1) Speaker: Ricardo Macedo, Research Assistant, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) and University of Minho Moderator: Todd Evans, Researcher Associate, Texas Advanced Computing Center (TACC) HPC infrastructures are long thought as computational powerhouses that enable scientists to conduct Read more…
The work developed by researchers from the BigHPC project, João Paulo and Ricardo Macedo (INESC TEC), and Vijay Chidambaram (UT Austin), aims at ensuring that supercomputers users can carry out scientific studies — in fields like medicine, natural sciences, climate change and others — much faster and accurately. The results of Read more…