PADS

Synchronization algorithms for parallel simulation struggle to attain speedup if the simulation entities are tightly coupled and their interactions are difficult to predict. Window Racer is a novel parallel synchronization algorithm for shared-memory ...

The use of IoT and AI/ML to extract insights for Data-Driven Decision-Making (DDDM) in Intelligent Traffic Systems (ITS) is becoming increasingly popular. While simulation is a cost-effective and safe way to evaluate such approaches, existing simulators ...

Dragonfly is an indispensable interconnect topology for exascale HPC systems. To link tens of thousands of compute nodes at a reasonable cost, Dragonfly shares network resources with the entire system such that network bandwidth is not exclusive to any ...

P4’s data-plane programmability allows for highly customizable and programmable packet processing, enabling rapid innovation in network applications, such as virtualization, security, load balancing, and traffic engineering. Researchers extensively use ...

Distributed computing is one of the ways to scale up agent-based microscopic vehicle traffic simulations. A key factor for performance is the partitioning of the road network providing computation load balancing and minimizing communication cost. Many ...

Domain Specific Languages (DSLs) provide an abstraction optimized for a specific class of problems. In Modelling and Simulation, DSLs can be used by domain experts to express a model using the concepts and rules from their domain. One challenge is to ...

This work contributes to developing an agent based on deep reinforcement learning capable of acting in a beyond visual range (BVR) air combat simulation environment. The paper presents an overview of building an agent representing a high-performance ...

This study addresses the knowledge gap in request-level storage trace analysis by incorporating workload characterization, compression, and synthesis. The aim is to better understand workload behavior and provide unique workloads for storage system ...

We present a unique virtual testbed that combines a data-plane programmable network emulator and a power distribution system simulator to evaluate smart grid security and resilience applications. The testbed employs a virtual time system for effective ...

Interconnect networks are an essential component of high-performance computing (HPC) systems. To study large-scale networking systems, parallel discrete event simulation (PDES) has been widely used to simulate real-world HPC behaviors. However, PDES ...

With the rapid growth of the machine learning applications, the workloads of future HPC systems are anticipated to be a mix of scientific simulation, big data analytics, and machine learning applications. Simulation is a great research vehicle to ...

Spiking Neural Networks (SNNs) are a class of Artificial Neural Networks that closely mimic biological neural networks. Their potential to advance medical and artificial intelligence research makes them particularly interesting to study. Since their ...

Complex manufacturing systems produce highly engineered products with long product cycle times and are characterized by complex production process behaviors. Ensuring the reliability of these systems is critical to meet customer demands, improve product ...

The recent development of new technologies within the Industry 4.0 revolution drives the increased digitization of manufacturing plants. To effectively utilize the digital twins, it is essential to guarantee a correct alignment between the physical ...

Parallel discrete-event simulation (PDES) is a well-established family of methods to accelerate discrete-event simulations. However, the available algorithms vary substantially in the performance achievable for different models, largely preventing ...

Evaluating robustness is an important goal in simulation-based analysis. Robustness is achieved when the controllable factors of a system are adjusted in such a way that any possible variance in uncontrollable factors (noise) has minimal impact on the ...

Output production and predicate detection are critical in speculative parallel discrete event simulation, since they need to take place accessing past state values—which have become committed—rather than the current state of the simulation objects, ...

Despite the recent increase in the popularity of blockchain, the technology suffers from the trilemma trade-off between security decentralisation and scalability prohibiting adoption, and limiting the efficiency and effectiveness of the induced system. ...

High-fidelity network simulations provide insights into new realms for high-performance computing (HPC) architectures, although at a high cost. Surrogate models offer a significant reduction in runtime, yet they cannot serve as complete replacements and ...

Interconnect networks play a key role in high-performance computing (HPC) systems. Parallel discrete event simulation (PDES) has been a long-standing pillar for studying large-scale networking systems by replicating the real-world behaviors of HPC ...

Co-simulation is a powerful technique integrating various simulation tools to create a unified simulation environment. It provides an in-depth understanding of the interplay between cyber and physical infrastructures in industrial control systems like ...

Traffic simulation is an important computational technique that models the behavior and interactions of vehicles, pedestrians, and infrastructure in a transportation system. Calibration, which involves adjusting simulation parameters to match real-world ...

The examined paper presents a surrogate model for HPC networks. The authors have uploaded their artifact to Zenodo, which ensures a long-term retention of the artifact. This paper can thus receive the Artifacts Available badge. The artifact allows for ...

For the paper a permanent artifact is available. This artifact provides a simple script to reproduce the results. The results in the paper are simulations and therefore have no issues running on different hardware.

The examined paper presents a parallel discrete-event simulation (PDES) runtime which is able to combine two disparate synchronization algorithms: Window Racer (conservative) and Time Warp (optimistic). The authors have uploaded their artifact to Zenodo,...

The artifact evaluated in this report is relevant to the paper “Zero Lookahead? Zero Problem. The Window Racer Algorithm”. In fact, it allows to run the experiments, reproduce figures and tables. Dependencies are well documented. The process to ...