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Loop closure detection is the process involved when trying to find a match between the current and a previously visited locations in SLAM. Over time, the amount of time required to process new observations increases with the size of the…

Robotics · Computer Science 2024-07-24 Mathieu Labbé , François Michaud

This paper defines a methodology for the oracle selection of the monitors and knobs to use to configure an HPC system running a scientific application while satisfying the application's requirements and not violating any system constraints.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-28 Panagiota Nikolaou , Yiannakis Sazeides , Antoni Portero , Radim Vavrik , Vit Vondrak

We analyze the collective behavior of a lattice model of pulse-coupled oscillators. By means of computer simulations we find the relation between the intrinsic dynamics of each member of the population and their mutual interaction that…

Condensed Matter · Physics 2009-10-28 Alvaro Corral , Conrad J. Perez , Albert Diaz-Guilera , Alex Arenas

Nowadays, success of financial organizations heavily depends on their ability to process digital traces generated by their clients, e.g., transaction histories, gathered from various sources to improve user modeling pipelines. As…

The requirements for OLTP database systems are becoming ever more demanding. Domains such as finance and computer games increasingly mandate that developers be able to encode complex application logic and control transaction latencies in…

Databases · Computer Science 2018-05-14 Vivek Shah , Marcos Antonio Vaz Salles

Structural symmetries in the storage ring of synchrotrons are intentionally created during the design phase of the magnetic lattices, but they are not considered in the design of control algorithms that stabilize the beam of accelerated…

Accelerator Physics · Physics 2021-04-07 Idris Kempf , Paul J. Goulart , Stephen R. Duncan , Guenther Rehm

Spatial decomposition is a popular basis for parallelising code. Cast in the frame of task parallelism, calculations on a spatial domain can be treated as a task. If neighbouring domains interact and share results, access to the specific…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-20 Christoph Niethammer , Colin W. Glass , Jose Gracia

Modern control systems applications are often built on top of a real time operating system (RTOS) which provides the necessary hardware abstraction as well as scheduling, networking and other services. Several open source RTOS solutions are…

Operating Systems · Computer Science 2007-05-23 Till Straumann

An indoor, real-time location system (RTLS) can benefit both hospitals and patients by improving clinical efficiency through data-driven optimization of procedures. Bluetooth-based RTLS systems are cost-effective but lack accuracy and…

Signal Processing · Electrical Eng. & Systems 2020-09-09 Guanglin Tang , Yulong Yan , Chenyang Shen , Xun Jia , Meyer Zinn , Zipalkumar Trivedi , Alicia Yingling , Kenneth Westover , Steve Jiang

Lattice data structures are space efficient and cache-suitable data structures. The basic searching, insertion, and deletion operations are of time complexity $O(\sqrt{N})$. We give a jump searching algorithm of time complexity…

Data Structures and Algorithms · Computer Science 2016-05-16 Mohammad Obiedat

Most studies on machine learning in sensing systems focus on low-level perception tasks that process raw sensory data within a short time window. However, many practical applications, such as human routine modeling and occupancy tracking,…

Artificial Intelligence · Computer Science 2024-04-01 Xiaomin Ouyang , Mani Srivastava

The diversity of SLAM benchmarks affords extensive testing of SLAM algorithms to understand their performance, individually or in relative terms. The ad-hoc creation of these benchmarks does not necessarily illuminate the particular weak…

Robotics · Computer Science 2019-05-21 Wenkai Ye , Yipu Zhao , Patricio A. Vela

Major chip manufacturers have all introduced multicore microprocessors. Multi-socket systems built from these processors are used for running various server applications. However to the best of our knowledge current commercial operating…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-24 Suryanarayana Murthy Durbhakula

Current operating systems are complex systems that were designed before today's computing environments. This makes it difficult for them to meet the scalability, heterogeneity, availability, and security challenges in current cloud and…

We study a class of optimization problems motivated by automating the design and update of AI systems like coding assistants, robots, and copilots. AutoDiff frameworks, like PyTorch, enable efficient end-to-end optimization of…

Artificial Intelligence · Computer Science 2024-11-04 Ching-An Cheng , Allen Nie , Adith Swaminathan

Task-based programming models like OmpSs-2 and OpenMP provide a flexible data-flow execution model to exploit dynamic, irregular and nested parallelism. Providing an efficient implementation that scales well with small granularity tasks…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-18 David Álvarez , Kevin Sala , Marcos Maroñas , Aleix Roca , Vicenç Beltran

The rise in computing hardware choices is driving a reevaluation of operating systems. The traditional role of an operating system controlling the execution of its own hardware is evolving toward a model whereby the controlling processor is…

This paper lays down the research agenda for a domain-specific foundation model for operating systems (OSes). Our case for a foundation model revolves around the observations that several OS components such as CPU, memory, and network…

One of the main challenges in the Simultaneous Localization and Mapping (SLAM) loop closure problem is the recognition of previously visited places. In this work, we tackle the two main problems of real-time SLAM systems: 1) loop closure…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Mohammad-Maher Nakshbandi , Ziad Sharawy , Sorin Grigorescu

Deep Learning (DL) workloads have rapidly increased in popularity in enterprise clusters and several new cluster schedulers have been proposed in recent years to support these workloads. With rapidly evolving DL workloads, it is challenging…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-21 Saurabh Agarwal , Amar Phanishayee , Shivaram Venkataraman
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