151 citations · 486 across the 27 of their papers we have counts for
6 papers · 1 filter
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes
Xiaolong Ma, Feng Yan, Lei Yang +4
First-come first-serve scheduling can result in substantial (up to 10%) of transiently idle nodes on supercomputers. Recognizing that such unfilled nodes are well-suited for deep n…
High-Performance Ptychographic Reconstruction with Federated Facilities
Tekin Bicer, Xiaodong Yu, Daniel J. Ching +5
Beamlines at synchrotron light source facilities are powerful scientific instruments used to image samples and observe phenomena at high spatial and temporal resolutions. Typically…
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka +1
Supercomputer FCFS-based scheduling policies result in many transient idle nodes, a phenomenon that is only partially alleviated by backfill scheduling methods that promote small j…
Towards Accommodating Real-time Jobs on HPC Platforms
Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu +1
Increasing data volumes in scientific experiments necessitate the use of high-performance computing (HPC) resources for data analysis. In many scientific fields, the data generated…
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes
Mert Hidayetoglu, Tekin Bicer, Simon Garcia de Gonzalo +6
X-ray computed tomography is a commonly used technique for noninvasive imaging at synchrotron facilities. Iterative tomographic reconstruction algorithms are often preferred for re…
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage
Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung +3
Modern science and engineering computing environments often feature storage systems of different types, from parallel file systems in high-performance computing centers to object s…