Asynchronous Many-Task Systems and Applications

.- Exploring Performance-Productivity Trade-offs in AMT Runtimes: A Task Bench Study of Itoyori, ItoyoriFBC, HPX, and MPI.
.- From Promts to Performance: Evaluating LLMs for Task-based Parallel Code Generation.
.- GPU-Resident Gaussian Process Regression Leveraging Asynchronous Tasks with HPX.
.- Silent Data Corruption Protection through Efficient Task Replication.
.- Managing Explicit Communications Within a Sequential Task Flow Paradigm.
.- Hierarchical Scheduling for Composable Affinity-Aware Policies in Task-Based Runtimes.
.- First Experiments to Evaluate the Relevance of Task-based Runtime Systems to Implement Large Language Model Applications.
.- Abstract communicators for task based runtime systems.
.- Leveraging PaRSEC for Task-Based Heterogeneous Computing in Python and Julia.
.- Dynamic Resource Management with Charm++ using Dynamic Processes with PSets.
.- Finding Conservation Laws of Large Dynamical Systems with Tasks and Futures: A Case Study in Utilizing Dynamic Data Dependencies.
.- Merging Parameterized Task Graphs in PaRSEC Through JDF Composition with LLM Assistance.
.- Multiresolution Analysis using Data-Flow Programming.
.- Using C++ Generators in Dataflow Broadcast.

• Erscheinungsdatum: 16.07.2026
• Autor/Autorin: Patrick Diehl
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 9.8 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 173 Seiten
• ISBN: 9783032276766
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.