activity
20192025
most citedScalable HPC Job Scheduling and Resource Management in SST

7 citations · 9 across the 10 of their papers we have counts for

collaborators

12 papers

physics.ins-det2025

A 28nm Multiply-Accumulate ASIC Architecture for On-Chip Data Compression in MHz Frame Rate X-ray and Electron Pixel Detectors

Rami Rasheedi, Nicholas Contini, Mohamed Adel Gharib +13

Modern X-ray detector systems urgently require compact, efficient, and fast data compression schemes to handle the transmission of big data from pixel arrays, enabling frame rates…

cs.DC2025

THAPI: Tracing Heterogeneous APIs

Solomon Bekele, Aurelio Vivas, Thomas Applencourt +5

As we reach exascale, production High Performance Computing (HPC) systems are increasing in complexity. These systems now comprise multiple heterogeneous computing components (CPUs…

astro-ph.IM20251 cited

Lossy Compression of Scientific Data: Applications Constrains and Requirements

Franck Cappello, Allison Baker, Ebru Bozda +22

Increasing data volumes from scientific simulations and instruments (supercomputers, accelerators, telescopes) often exceed network, storage, and analysis capabilities. The scienti…

cs.DC20257 cited

Scalable HPC Job Scheduling and Resource Management in SST

Abubeker Abdurahman, Abrar Hossain, Kevin A Brown +2

Efficient job scheduling and resource management contribute towards system throughput and efficiency maximization in high-performance computing (HPC) systems. In this paper, we int…

cs.AR2024

Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community

Kazutomo Yoshii, Mohamed El-Hadedy

The advent of chiplet technology introduces cutting-edge opportunities for constructing highly heterogeneous platforms with specialized accelerators. However, the HPC community cur…

math.NA2024

Homomorphic data compression for real time photon correlation analysis

Sebastian Strempfer, Zichao Wendy Di, Kazutomo Yoshii +8

The construction of highly coherent x-ray sources has enabled new research opportunities across the scientific landscape. The maximum raw data rate per beamline now exceeds 40 GB/s…