Cover Image

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hategan-Marandiuc, Mihael, Merzky, Andre, Collier, Nicholson, Maheshwari, Ketan, Ozik, Jonathan, Turilli, Matteo, Wilke, Andreas, Wozniak, Justin M., Chard, Kyle, Foster, Ian, da Silva, Rafael Ferreira, Jha, Shantenu, Laney, Daniel
Format:	Preprint
Published:	2023
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exascale Workflow Applications and Middleware: An ExaWorks Retrospective
by: Alsaadi, Aymen, et al.
Published: (2024)

ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies
by: Turilli, Matteo, et al.
Published: (2024)

Entanglement entropy in lattices with non-abelian gauge groups
by: Hategan-Marandiuc, Mihael
Published: (2024)

Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads
by: Merzky, Andre, et al.
Published: (2025)

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
by: Kilic, Ozgur Ozan, et al.
Published: (2024)

Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications
by: Merzky, Andre, et al.
Published: (2025)

Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale
by: Alsaadi, Aymen, et al.
Published: (2024)

Adaptive Protein Design Protocols and Middleware
by: Alsaadi, Aymen, et al.
Published: (2025)

Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization
by: Titov, Mikhail, et al.
Published: (2024)

Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
by: Robertson, Connor, et al.
Published: (2025)

Bayesian calibration of stochastic agent based model via random forest
by: Robertson, Connor, et al.
Published: (2024)

Bayesian Calibration of Stochastic Agent Based Model via Random Forest
by: Connor Robertson, et al.
Published: (2025)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments
by: Pruyne, Jim, et al.
Published: (2024)

Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
by: O'Gara, David, et al.
Published: (2026)

AERO: An autonomous platform for continuous research
by: Hayot-Sasson, Valérie, et al.
Published: (2025)

Design and Implementation of an Analysis Pipeline for Heterogeneous Data
by: Sarker, Arup Kumar, et al.
Published: (2024)

Combining Language and Graph Models for Semi-structured Information Extraction on the Web
by: Hong, Zhi, et al.
Published: (2024)

Staying on Track: Efficient Trajectory Discovery with Adaptive Batch Sampling
by: Fadikar, Arindam, et al.
Published: (2025)

Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
by: Jha, Shantenu, et al.
Published: (2024)

Agentic Discovery: Closing the Loop with Cooperative Agents
by: Pauloski, J. Gregory, et al.
Published: (2025)

XaaS Containers: Performance-Portable Representation With Source and IR Containers
by: Copik, Marcin, et al.
Published: (2025)

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
by: Li, Yifei, et al.
Published: (2024)

Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics
by: Gorard, Jonathan, et al.
Published: (2025)

Icicle: Scalable Metadata Indexing and Real-Time Monitoring for HPC File Systems
by: Pan, Haochen, et al.
Published: (2026)

Topology-Aware Knowledge Propagation in Decentralized Learning
by: Sakarvadia, Mansi, et al.
Published: (2025)

RHAPSODY: Execution of Hybrid AI-HPC Workflows at Scale
by: Alsaadi, Aymen, et al.
Published: (2025)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
by: Fadikar, Arindam, et al.
Published: (2024)

Empowering Scientific Workflows with Federated Agents
by: Kamatar, Alok, et al.
Published: (2025)

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning
by: Hudson, Nathaniel, et al.
Published: (2024)

Accelerating Python Applications with Dask and ProxyStore
by: Pauloski, J. Gregory, et al.
Published: (2024)

Parsl+CWL: Towards Combining the Python and CWL Ecosystems
by: Karle, Nishchay, et al.
Published: (2024)

Addressing Reproducibility Challenges in HPC with Continuous Integration
by: Hayot-Sasson, Valérie, et al.
Published: (2025)

Employing Artificial Intelligence to Steer Exascale Workflows with Colmena
by: Ward, Logan, et al.
Published: (2024)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks
by: Zhou, Sicheng, et al.
Published: (2025)

Triples and Knowledge-Infused Embeddings for Clustering and Classification of Scientific Documents
by: Arcan, Mihael
Published: (2025)

From Baselines to Preferences: A Comparative Study of LoRA/QLoRA and Preference Optimization for Mental Health Text Classification
by: Arcan, Mihael
Published: (2026)

ISPITIVANJE MOGUĆNOSTI PRIMENE POLIAMID-POLIETILENSKE FOLIJE ZA KONZERVACIJU TEHNIČKIH SREDSTAVA
by: Mihael Bučko
Published: (2008)

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
by: Pan, Haochen, et al.
Published: (2024)

xGFabric: Coupling Sensor Networks and HPC Facilities with Private 5G Wireless Networks for Real-Time Digital Agriculture
by: Kurafeeva, Liubov, et al.
Published: (2025)

Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
by: Li, Yijiang, et al.
Published: (2026)