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Studying cyber-physical system (CPS) for a given network protocol and processor schedules is a challenging task. This investigation illustrates the role of TrueTime a MATLAB package for simulating CPS encapsulating information on processor…

Systems and Control · Computer Science 2016-11-15 S. Balasubramaniyan , B. Subathra , R. C. Hemesh , S. Gurusamy , S. Srinivasan

Linux containers have gained high popularity in recent times. This popularity is significantly due to various advantages of containers over Virtual Machines (VM). The containers are lightweight, occupy lesser storage, have fast boot-up…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-21 Akshay Dhumal , Dharanipragada Janakiram

Synchronous programming is a paradigm of choice for the design of safety-critical reactive systems. Runtime enforcement is a technique to ensure that the output of a black-box system satisfies some desired properties. This paper deals with…

Formal Languages and Automata Theory · Computer Science 2016-12-16 Srinivas Pinisetty , Partha S Roop , Steven Smyth , Stavros Tripakis , Reinhard von Hanxleden

This paper presents the SPARE C++ library, an open source software tool conceived to build pattern recognition and soft computing systems. The library follows the requirement of the generality: most of the implemented algorithms are able to…

Computer Vision and Pattern Recognition · Computer Science 2015-02-23 Lorenzo Livi , Guido Del Vescovo , Antonello Rizzi , Fabio Massimo Frattale Mascioli

The proliferation of heterogeneous chip multiprocessors in recent years has reached unprecedented levels. Traditional homogeneous platforms have shown fundamental limitations when it comes to enabling high-performance yet-ultra-low-power…

Accelerator-based heterogeneous architectures, such as CPU-GPU, CPU-TPU, and CPU-FPGA systems, are widely adopted to support the popular artificial intelligence (AI) algorithms that demand intensive computation. When deployed in real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-20 An Zou , Yuankai Xu , Yinchen Ni , Jintao Chen , Yehan Ma , Jing Li , Christopher Gill , Xuan Zhang , Yier Jin

Verification of C++ programs has seen considerable progress in several areas, but not for programs that use these languages' mathematical libraries. The reason is that all libraries in widespread use come with no guarantees about the…

Programming Languages · Computer Science 2022-06-23 Roberto Bagnara , Michele Chiari , Roberta Gori , Abramo Bagnara

There has been significant research over the past two decades in developing new platforms for spiking neural computation. Current neural computers are primarily developed to mimick biology. They use neural networks which can be trained to…

Neural and Evolutionary Computing · Computer Science 2015-07-23 Xavier Lagorce , Ryad Benosman

Using consteval from C++23, we implement efficient, new versions of std::map and std::unordered_map for use when the keys are known at compile time. We demonstrate superior performance of our unordered_map on three demonstration use-cases:…

Data Structures and Algorithms · Computer Science 2026-02-27 Isaac D. Myhal , Oliver Serang

Timed Transition Models (TTMs) are event-based descriptions for modelling, specifying, and verifying discrete real-time systems. An event can be spontaneous, fair, or timed with specified bounds. TTMs have a textual syntax, an operational…

Software Engineering · Computer Science 2015-06-12 Chen-Wei Wang , Jonathan S. Ostroff , Simon Hudon

Dataflow devices represent an avenue towards saving the control and data movement overhead of Load-Store Architectures. Various dataflow accelerators have been proposed, but how to efficiently schedule applications on such devices remains…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-06 Tiziano De Matteis , Lukas Gianinazzi , Johannes de Fine Licht , Torsten Hoefler

Timeseries partitioning is an essential step in most machine-learning driven, sensor-based IoT applications. This paper introduces a sample-efficient, robust, time-series segmentation model and algorithm. We show that by learning a…

Machine Learning · Computer Science 2022-08-03 Tahiya Chowdhury , Murtadha Aldeer , Shantanu Laghate , Jorge Ortiz

Molecular dynamics (MD) simulations are widely used to study large-scale molecular systems. HPC systems are ideal platforms to run these studies, however, reaching the necessary simulation timescale to detect rare processes is challenging,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-22 Tu Mai Anh Do , Loïc Pottier , Rafael Ferreira da Silva , Frédéric Suter , Silvina Caíno-Lores , Michela Taufer , Ewa Deelman

High-performance computing (HPC) is undergoing significant changes. Next generation HPC systems are equipped with diverse global and local resources, such as I/O burst buffer resources, memory resources (e.g., on-chip and off-chip RAM,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-31 Yuping Fan

Data serialization is a common and crucial component in high performance computing. In this paper, I present a C++11 based serialization library for performance critical systems. It provides an interface similar to Boost but up to 150%…

Performance · Computer Science 2019-02-05 Junhao Li

Spatial-temporal forecasting systems play a crucial role in addressing numerous real-world challenges. In this paper, we investigate the potential of addressing spatial-temporal forecasting problems using general time series forecasting…

Neuromorphic Systems-on-Chip (NSoCs) are becoming heterogeneous by integrating general-purpose processors (GPPs) and neural processing units (NPUs) on the same SoC. For embedded systems, an NSoC may need to execute user applications built…

Hardware Architecture · Computer Science 2022-09-30 Anup Das

C++ does not support run-time resolution of template type arguments. To circumvent this restriction, we can instantiate a template for all possible combinations of type arguments at compile time and then select the proper instance at run…

Programming Languages · Computer Science 2013-06-24 Daniel Langr , Pavel Tvrdík , Tomáš Dytrych , Jerry P. Draayer

The recent advancements in multicore machines highlight the need to simplify concurrent programming in order to leverage their computational power. One way to achieve this is by designing efficient concurrent data structures (e.g. stacks,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-31 Nikolaos D. Kallimanis

The multi-pumping resource sharing technique can overcome the limitations commonly found in single-clocked FPGA designs by allowing hardware components to operate at a higher clock frequency than the surrounding system. However, this…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-11 Carl-Johannes Johnsen , Tiziano De Matteis , Tal Ben-Nun , Johannes de Fine Licht , Torsten Hoefler
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