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Parallel applications can spend a significant amount of time performing I/O on large-scale supercomputers. Fast near-compute storage accelerators called burst buffers can reduce the time a processor spends performing I/O and mitigate I/O…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-15 Yiheng Xu , Pranav Sivaraman , Hariharan Devarajan , Kathryn Mohror , Abhinav Bhatele

The growing disparity between CPU core counts and available memory bandwidth has intensified memory contention in servers. This particularly affects highly parallelizable applications, which must achieve efficient cache utilization to…

Hardware Architecture · Computer Science 2025-03-17 Alessandro Fogli , Bo Zhao , Peter Pietzuch , Jana Giceva

Parallel file systems contain complicated I/O paths from clients to storage servers. An efficient I/O path requires proper settings of multiple parameters, as the default settings often fail to deliver optimal performance, especially for…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-18 Md. Hasanur Rashid , Youbiao He , Forrest Sheng Bao , Dong Dai

Recent advances in computing architectures and networking are bringing parallel computing systems to the masses so increasing the number of potential users of these kinds of systems. In particular, two important technological evolutions are…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-04-05 Gabriele D'Angelo , Moreno Marzolla

The relational DBMS (RDBMS) has been widely used since it supports various high-level functionalities such as SQL, schemas, indexes, and transactions that do not exist in the O/S file system. But, a recent advent of big data technology…

Databases · Computer Science 2014-06-03 Jun-Sung Kim , Kyu-Young Whang , Hyuk-Yoon Kwon , Il-Yeol Song

This report evaluates the new analytical capabilities of DataStax Enterprise (DSE) [1] through the use of standard Hadoop workloads. In particular, we run experiments with CPU and I/O bound micro-benchmarks as well as OLAP-style analytical…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-17 Todor Ivanov , Raik Niemann , Sead Izberovic , Marten Rosselli , Karsten Tolle , Roberto V. Zicari

Increasing investment in computing technologies and the advancements in silicon technology has fueled rapid growth in advanced driver assistance systems (ADAS) and corresponding SoC developments. An ADAS SoC represents a heterogeneous…

Hardware Architecture · Computer Science 2022-09-14 Hao Luan , Yu Yao , Chang Huang

Tuning parallel file system in High-Performance Computing (HPC) systems remains challenging due to the complex I/O paths, diverse I/O patterns, and dynamic system conditions. While existing autotuning frameworks have shown promising results…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-27 Md Hasanur Rashid , Nathan R. Tallent , Forrest Sheng Bao , Dong Dai

This paper presents BDDT-SCC, a task-parallel runtime system for non cache-coherent multicore processors, implemented for the Intel Single-Chip Cloud Computer. The BDDT-SCC runtime includes a dynamic dependence analysis and automatic…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-15 Alexandros Labrineas , Polyvios Pratikakis , Dimitrios S. Nikolopoulos , Angelos Bilas

Virtual execution environments allow for consolidation of multiple applications onto the same physical server, thereby enabling more efficient use of server resources. However, users often statically configure the resources of virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-07 Ignacio Cano , Lequn Chen , Pedro Fonseca , Tianqi Chen , Chern Cheah , Karan Gupta , Ramesh Chandra , Arvind Krishnamurthy

An Intrusion Detection System (IDS) aims to alert users of incoming attacks by deploying a detector that monitors network traffic continuously. As an effort to increase detection capabilities, a set of independent IDS detectors typically…

Cryptography and Security · Computer Science 2020-02-19 Guntur Dharma Putra , Volkan Dedeoglu , Salil S Kanhere , Raja Jurdak

Numerical solutions of hyperbolic partial differential equations(PDEs) are ubiquitous in science and engineering. Method of lines is a popular approach to discretize PDEs defined in spacetime, where space and time are discretized…

Mathematical Software · Computer Science 2020-11-24 Milinda Fernando , Hari Sundar

We propose an effective parallel program debugging approach based on the timing annotation technique. With prevalent multi-core platforms, parallel programming is required to fully utilize the computing power. However, the non-determinism…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-10 Yun Chang , Hsin-I Wu , Ren-Song Tsay

This paper presents FT-GAIA, a software-based fault-tolerant parallel and distributed simulation middleware. FT-GAIA has being designed to reliably handle Parallel And Distributed Simulation (PADS) models, which are needed to properly…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-28 Gabriele D'Angelo , Stefano Ferretti , Moreno Marzolla

The high computational demands of multiscale modeling necessitate advanced parallel and adaptive strategies. To address this challenge, we introduce an adaptive method that utilizes two microscale models based on an offline database for…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-02 Sion Kim , Ezra Kissel , Karel Matous

We propose an asynchronous iterative scheme that allows a set of interconnected nodes to distributively reach an agreement within a pre-specified bound in a finite number of steps. While this scheme could be adopted in a wide variety of…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-13 Andreas Grammenos , Themistoklis Charalambous , Evangelia Kalyvianaki

COSA is a novel CFD system based on the compressible Navier-Stokes model for unsteady aerodynamics and aeroelasticity of fixed structures, rotary wings and turbomachinery blades. It includes a steady, time domain, and harmonic balance flow…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-30 Adrian Jackson , M. Sergio Campobasso

This paper presents CARTOS, a charging-aware real-time operating system designed to enhance the functionality of intermittently-powered batteryless devices (IPDs) for various Internet of Things (IoT) applications. While IPDs offer…

Operating Systems · Computer Science 2025-12-11 Mohsen Karimi , Yidi Wang , Youngbin Kim , Yoojin Lim , Hyoseung Kim

This work in progress paper outlines research looking at the performance impact of using different storage interfaces to access the high performance object store DAOS. We demonstrate that using DAOS through a FUSE based filesystem interface…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-01 Adrian Jackson , Nicolau Manubens

This paper presents ColonyOS, an open-source meta-operating system designed to improve integration and utilization of diverse computing platforms, including IoT, edge, cloud, and HPC. Operating as an overlay, ColonyOS can interface with a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-26 Johan Kristiansson