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Full-Text Articles in Physical Sciences and Mathematics
Optimizing Collective Communication For Scalable Scientific Computing And Deep Learning, Jiali Li
Optimizing Collective Communication For Scalable Scientific Computing And Deep Learning, Jiali Li
Doctoral Dissertations
In the realm of distributed computing, collective operations involve coordinated communication and synchronization among multiple processing units, enabling efficient data exchange and collaboration. Scientific applications, such as simulations, computational fluid dynamics, and scalable deep learning, require complex computations that can be parallelized across multiple nodes in a distributed system. These applications often involve data-dependent communication patterns, where collective operations are critical for achieving high performance in data exchange. Optimizing collective operations for scientific applications and deep learning involves improving the algorithms, communication patterns, and data distribution strategies to minimize communication overhead and maximize computational efficiency.
Within the context of this …
On The Limits And Practice Of Automatically Designing Self-Stabilization, Alex Klinkhamer
On The Limits And Practice Of Automatically Designing Self-Stabilization, Alex Klinkhamer
Dissertations, Master's Theses and Master's Reports
A protocol is said to be self-stabilizing when the distributed system executing it is guaranteed to recover from any fault that does not cause permanent damage. Designing such protocols is hard since they must recover from all possible states, therefore we investigate how feasible it is to synthesize them automatically. We show that synthesizing stabilization on a fixed topology is NP-complete in the number of system states. When a solution is found, we further show that verifying its correctness on a general topology (with any number of processes) is undecidable, even for very simple unidirectional rings. Despite these negative results, …
Koala: An Object-Agent Design System, Kym J. Pohl, Jens G. Pohl
Koala: An Object-Agent Design System, Kym J. Pohl, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
This paper describes KOALA, a design system with primary focus on the predesign stage of architectural design. KOALA combines object-agent technology with high level representation to form a partnership between the human designer and the computer-based design environment. A diverse taxonomy of agents including Domain agents. Space agents, and Monitor agents work in a collaborative fashion to provide the human designer with expert evaluation and assistance in developing a design solution. Spaces, in their roles as agents attempt to formulate various design solutions based on individual perspectives through negotiation with other agents. The result is a highly interactive design environment …