activity
20082026
most citedTowards Loosely-Coupled Programming on Petascale Systems

61 citations · 112 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.DC2026

Diamond Agent: Agentic Control of Federated HPC Resources as a Service

Haotian Xie, Junlin Chen, Mingkai Zheng +9

Efficiently aggregating and orchestrating computing power across heterogeneous clusters for HPC workflows faces four practical challenges: preserving workflow context across indepe…

cs.DC2025

Understanding the Landscape of Ampere GPU Memory Errors

Zhu Zhu, Yu Sun, Dhatri Parakal +9

Graphics Processing Units (GPUs) have become a de facto solution for accelerating high-performance computing (HPC) applications. Understanding their memory error behavior is an ess…

cs.DC2023

Fine-grained Policy-driven I/O Sharing for Burst Buffers

Ed Karrels, Lei Huang, Yuhong Kan +5

A burst buffer is a common method to bridge the performance gap between the I/O needs of modern supercomputing applications and the performance of the shared file system on large-s…

cs.DC2015

Integrating Abstractions to Enhance the Execution of Distributed Applications

Matteo Turilli, Feng Liu, Zhao Zhang +5

One of the factors that limits the scale, performance, and sophistication of distributed applications is the difficulty of concurrently executing them on multiple distributed compu…

cs.DC2012★ 14 cited

Many-Task Computing and Blue Waters

Daniel S. Katz, Timothy G. Armstrong, Zhao Zhang +2

This report discusses many-task computing (MTC) generically and in the context of the proposed Blue Waters systems, which is planned to be the largest NSF-funded supercomputer when…

cs.DC2008★ 32 cited

Design and Evaluation of a Collective IO Model for Loosely Coupled Petascale Programming

Zhao Zhang, Allan Espinosa, Kamil Iskra +3

Loosely coupled programming is a powerful paradigm for rapidly creating higher-level applications from scientific programs on petascale systems, typically using scripting languages…