Search Results - "Run time systems (Computer science)"

From Automation to Reflection: Architecting Self-Healing Runtimes for Distributed Systems Observability.

Authors: Taduka, Abhinav

Source: Journal of Computational Analysis & Applications; 2026, Vol. 35 Issue 5, p210-220, 11p

Research on WebAssembly Runtimes: A Survey.

Authors: Zhang, Yixuan Liu, Mugeng Wang, Haoyu et al.

Source: ACM Transactions on Software Engineering & Methodology; Nov2025, Vol. 34 Issue 8, p1-47, 47p

Systems-Level Support for Hybrid Quantum-Classical Learning: A Systematic Review with a Medical Imaging Translation Lens.

Authors: Rahman, Maqsudur Paul, Pintu Chandra Begum, Amena et al.

Source: Journal of Imaging; Jun2026, Vol. 12 Issue 6, p232, 23p

A Self-Adaptive Runtime for Data-Intensive Graph Analytics in Geo-Distributed Cloud–Edge Systems.

Authors: Singh, Raju¹, rajukushwaha36@gmail.com

Source: Journal of Grid Computing; Sep2026, Vol. 24 Issue 3, p1-24, 24p

A High-Level API for End-to-End Data Compression in Multi-GPU Cluster Applications.

Authors: Mitterrutzner, Gabriel Thoman, Peter Gschwandtner, Philipp

Source: International Journal of Parallel Programming; Sep2026, Vol. 54 Issue 3, p1-22, 22p

Lynx offers LYNX MOSA.ic.AI deployment platform for mission-critical environments.

Source: Military & Aerospace Fiber Optics. Apr2026, Vol. 20 Issue 4, p9-10. 2p.

Enhancing cloud native security: a knowledge graph approach for securing container runtimes.

Authors: Eldjou, Amina Kitouni, Ilham Benmounah, Zakaria et al.

Source: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-18, 18p

Teaching an old dog new tricks: Porting legacy code to heterogeneous compute architectures with automated code translation.

Authors: Nytko, Nicolas Reisner, Andrew Moulton, J. David et al.

Source: International Journal of High Performance Computing Applications; Nov2025, Vol. 39 Issue 6, p739-749, 11p

Incrementally predictive runtime verification.

Authors: Ferrando, Angelo Delzanno, Giorgio

Source: Journal of Logic & Computation. Jun2023, Vol. 33 Issue 4, p796-817. 22p.

Subjects: Process mining, Run time systems (Computer science), Workflow

Faster EPTAS for Scheduling on Uniform Machines.

Authors: Jansen, Klaus Schumacher, Bjorn Solis-Oba, Roberto

Source: Berichte des Instituts für Informatik; Sep2025, Vol. 2501, p2-26, 25p

Corrigendum to "DART: A state-aware online co-scheduling runtime for data-parallel training" [Future Generation Computer Systems 178 (2026) 108303].

Authors: Sun, Teh-Jen Son, A-Young Huh, Eui-Nam

Source: Future Generation Computer Systems. Sep2026, Vol. 182, pN.PAG-N.PAG. 1p.

Interruptible Nodes: Reducing Queueing Costs in Irregular Streaming Dataflow Applications on Wide-SIMD Architectures.

Authors: Timcheck, Stephen Buhler, Jeremy

Source: International Journal of Parallel Programming; Feb2023, Vol. 51 Issue 1, p43-60, 18p

Comperative analasys of JavaScript runtime environments.

Authors: Kalman, Konrad Miłosz, Marek

Source: Journal of Computer Sciences Institute; 2025, Vol. 36, p296-302, 7p

Profile-guided optimisation for indirect branches in a binary translator.

Authors: Huang, Jyun-Siang Yang, Wuu You, Yi-Ping

Source: Connection Science. Dec2022, Vol. 34 Issue 1, p749-765. 17p.

Subjects: Translators, Branching processes, Rabbits, Run time systems (Computer science)

A Generalistic Approach to Machine-Learning-Supported Task Migration on Real-Time Systems †.

Authors: Delgadillo, Octavio Blieninger, Bernhard Kuhn, Juri et al.

Source: Journal of Low Power Electronics & Applications; Jun2022, Vol. 12 Issue 2, p26, 17p

Model-based Testing Approaches: A Survey.

Authors: Ali, Nidaa Ghalib Burhan, Iman Mohammed Mohebbi, Keyvan

Source: Journal of Algebraic Statistics. 2022, Vol. 13 Issue 2, p2879-2889. 11p.

Large-scale building simulation using cloud computing for estimating lifecycle energy consumption.

Authors: Richman, Russell Zirnhelt, Hayes Fix, Stuart

Source: Canadian Journal of Civil Engineering; Mar2014, Vol. 41 Issue 3, p252-262, 11p, 1 Diagram, 1 Chart, 6 Graphs

Google adds open source Agent Executor to support AI agents in production.

Source: CIO (0894-9301); 5/25/2026, pN.PAG-N.PAG, 1p

Insights into resource utilization of code small language models serving with runtime engines and execution providers.

Authors: Durán, Francisco Martinez, Matias Lago, Patricia et al.

Source: Journal of Systems & Software. Dec2025, Vol. 230, pN.PAG-N.PAG. 1p.

A Petri-net-based communication-aware modeling for performance evaluation of NOC application mapping.

Authors: Raeisi-Varzaneh, Mostafa Sabaghian-Bidgoli, Hossein

Source: Journal of Supercomputing; Nov2020, Vol. 76 Issue 11, p9246-9269, 24p