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Side-channel attacks on microprocessors, like the RISC-V, exhibit security vulnerabilities that lead to several design challenges. Hence, it is imperative to study and analyze these security vulnerabilities comprehensively. In this paper,…

Cryptography and Security · Computer Science 2021-06-17 Mahya Morid Ahmadi , Faiq Khalid , Muhammad Shafique

We consider how underused computing resources within an enterprise may be harnessed to improve utilization and create an elastic computing infrastructure. Most current cloud provision involves a data center model, in which clusters of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-08 Graham Kirby , Alan Dearle , Angus Macdonald , Alvaro Fernandes

We investigate the feasibility of high performance scientific computation using cloud computers as an alternative to traditional computational tools. The availability of these large, virtualized pools of compute resources raises the…

Materials Science · Physics 2009-01-05 J. J. Rehr , J. P. Gardner , M. Prange , L. Svec , F. Vila

The RISC-V "V" extension introduces vector processing to the RISC-V architecture. Unlike most SIMD extensions, it supports long vectors which can result in significant improvement of multiple applications. In this paper, we present our…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-10 Sonia Rani Gupta , Nikela Papadopoulou , Miquel Pericàs

EU needs an effective exit strategy from the crisis, with a special attention to SMEs that represent the 99% of the enterprises active in the European production system. To this end, innovation appears to be a key factor to relaunch the EU…

Computers and Society · Computer Science 2021-01-19 M. Missikoff , P. Assogna

This work presents a SystemC-TLM based simulator for a RISC-V microcontroller. This simulator is focused on simplicity and easy expandable of a RISC-V. It is built around a full RISC-V instruction set simulator that supports full RISC-V ISA…

Hardware Architecture · Computer Science 2020-10-21 Màrius Montón

Modern data-driven applications expose limitations of von Neumann architectures - extensive data movement, low throughput, and poor energy efficiency. Accelerators improve performance but lack flexibility and require data transfers.…

Hardware Architecture · Computer Science 2025-04-09 Vincenzo Petrolo , Flavia Guella , Michele Caon , Pasquale Davide Schiavone , Guido Masera , Maurizio Martina

The VISPA project is a self-managed, mid-scale computing cluster that supports physics data analysis in research and teaching. Because the cluster is housed in a 1970s institute building with limited retrofit options, conventional…

Human-Computer Interaction · Computer Science 2026-04-28 Niclas Eich , Johannes Erdmann , Martin Erdmann , Benjamin Fischer , Paul Gilles , Tim Hauptreif , Jan Kelleter

While posit format offers superior dynamic range and accuracy for transprecision computing, its adoption in RISC-V processors is hindered by the lack of a unified solution for lightweight, precision-scalable, and IEEE-754 arithmetic…

Hardware Architecture · Computer Science 2025-05-27 Qiong Li , Chao Fang , Longwei Huang , Jun Lin , Zhongfeng Wang

This extended abstract is submitted on behalf of the RISC-V HPC SIG who have been undertaking an analysis to explore the current state and limitations of the RISC-V ecosystem for HPC. Whilst it is right to celebrate that there has been…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-19 Nick Brown

Most establishments including academic institutions under goes the lengthy process of study-based document handling such as direct mailing, indexing and tracking. This daily task is time consuming and resource-intensive. Using a private…

Signal Processing · Electrical Eng. & Systems 2022-02-09 Omar Ali Athab , Ahmed Mohammed Saheb

The rapid advancement and exploration of open-hardware RISC-V platforms are driving significant changes in sectors like autonomous vehicles, smart-city infrastructure, and medical devices. OpenTitan stands out as a groundbreaking…

Virtualization has become widespread across all computing environments, from edge devices to cloud systems. Its main advantages are resource management through abstraction and improved isolation of platform resources and processes. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Francesco Ciraolo , Mattia Nicolella , Denis Hoornaert , Marco Caccamo , Renato Mancuso

In recent years, cloud storage technology has been widely used in many fields such as education, business, medical and more because of its convenience and low cost. With the widespread applications of cloud storage technology, data access…

Cryptography and Security · Computer Science 2018-11-09 Jingwei Liu , Huifang Tang , Chaoya Li , Rong Sun , Xiaojiang Du , Mohsen Guizani

The pace of RISC-V adoption continues to grow rapidly, yet for the successes enjoyed in areas such as embedded computing, RISC-V is yet to gain ubiquity in High Performance Computing (HPC). The Sophon SG2044 is SOPHGO's next generation…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-20 Nick Brown

Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society as a whole. The initiative known as the European Open Science Cloud (EOSC) is an effort in Europe to provide…

To mitigate the restrictive centralising and monopolistic tendencies of platformisation, we aim to empower local communities by democratising platforms for self-organised social coordination. Our approach is to develop an open-source,…

Networking and Internet Architecture · Computer Science 2025-07-03 Matthew Scott , Jeremy Pitt

Architectural simulators hold a vital role in RISC-V research, providing a crucial platform for workload evaluation without the need for costly physical prototypes. They serve as a dynamic environment for exploring innovative architectural…

Hardware Architecture · Computer Science 2024-05-27 Debjyoti Bhattacharjee , Anmol , Tommaso Marinelli , Karan Pathak , Peter Kourzanov

Cloud auto-scaling mechanisms are typically based on reactive automation rules that scale a cluster whenever some metric, e.g., the average CPU usage among instances, exceeds a predefined threshold. Tuning these rules becomes particularly…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-04 Giacomo Lanciano , Filippo Galli , Tommaso Cucinotta , Davide Bacciu , Andrea Passarella