burst buffer

Tariq receives his best paper award at EuroPar'2020

1 min read · Thu, Aug 27 2020

High Performance Computing GPU Computing burst buffer scientific computing Parallel and Distributed Computing

Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems Best Paper Presentation by Tariq Alturkestani PhD Student, Computer Science, KAUST Thursday, Aug 27, 3:30pm - 4:00pm (AST) https://zoom.us/j/99947879910 Tariq will present his best paper at EuroPar'2020 at the virtual EuroPar'2020 conference in Warsaw, Poland. The reverse time migration (RTM) method is critical in seismic imaging for oil and gas industries. He demonstrates the effectiveness of his Multilayer Buffer System (MLBS) framework on Shaheen-2 (using 2048 compute nodes) and Summit

Tariq Alturkestani

Ph.D. Student, Computer Science

High Performance Computing burst buffer optimization IO

Tariq is a PhD student in Computer Science working under the supervision of Professor David E. Keyes. He is working on developing a library that enables users to overlap I/O and compute. Tariq holds a Bachelors degree from Penn State University and a Master from KAUST. Education Profile MS, Computer Science, King Abdullah University of Science and Technology (KAUST), 2014. BS, Computer Science, Penn State University, USA, 2013.