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As high-performance computing (HPC) systems rapidly evolve, with increasing on-node parallelism and widespread use of accelerators, understanding how the code maps to hardware is essential for reaching optimal performance. Benchmarks are…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-11 Michael McKinsey , Stephanie Brink , Olga Pearce

This paper presents a comprehensive analysis of the RISC-V instruction set architecture, focusing on its modular design, implementation challenges, and performance characteristics. We examine the RV32I base instruction set with extensions…

Hardware Architecture · Computer Science 2025-06-10 Priyanshu Yadav

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

Over the lifetime of a computing task, determining the maximum usage of random-access memory (RAM) on both the motherboard and on a graphical processing unit (GPU), as well as the utilization percentage of the central processing unit (CPU)…

Performance · Computer Science 2025-06-27 Erik D. Huckvale , Hunter N. B. Moseley

This work details a hardware-assisted approach for information flow tracking implemented on reconfigurable chips. Current solutions are either time-consuming or hardly portable (modifications of both sofware/hardware layers). This work…

Cryptography and Security · Computer Science 2018-11-15 Muhammad Abdul Wahab , Pascal Cotret , Mounir Nasr Allah , Guillaume Hiet , Vianney Lapotre , Guy Gogniat

Funded by the UK ExCALIBUR H\&ES exascale programme, in early 2022 a RISC-V testbed for HPC was stood up to provide free access for scientific software developers to experiment with RISC-V for their workloads. Here we report on successes,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-02 Nick Brown , Maurice Jamieson , Joseph K. L. Lee

IoT applications span a wide range in performance and memory footprint, under tight cost and power constraints. High-end applications rely on power-hungry Systems-on-Chip (SoCs) featuring powerful processors, large LPDDR/DDR3/4/5 memories,…

Hardware Architecture · Computer Science 2024-01-09 Luca Valente , Yvan Tortorella , Mattia Sinigaglia , Giuseppe Tagliavini , Alessandro Capotondi , Luca Benini , Davide Rossi

DIFT (Dynamic Information Flow Tracking) has been a hot topic for more than a decade. Unfortunately, existing hardware DIFT approaches have not been widely used neither by research community nor by hardware vendors. It is due to two major…

Cryptography and Security · Computer Science 2018-12-05 Muhammad Abdul Wahab , Pascal Cotret , Mounir Nasr Allah , Guillaume Hiet , Arnab Kumar Biswas , Vianney Lapôtre , Guy Gogniat

In recent years, interest in RISC-V computing architectures has moved from academic to mainstream, especially in the field of High Performance Computing where energy limitations are increasingly a concern. As of this year, the first single…

The Sophon SG2042 is the world's first commodity 64-core RISC-V CPU for high performance workloads and an important question is whether the SG2042 has the potential to encourage the HPC community to embrace RISC-V. In this paper we…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-04 Nick Brown , Maurice Jamieson , Joseph Lee , Paul Wang

Funded by the UK ExCALIBUR H&ES exascale programme, since early 2022 we have provided a RISC-V testbed for HPC to offer free access for scientific software developers to experiment with RISC-V for their workloads. Based upon our experiences…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-19 Nick Brown

Real-time systems, particularly those used in domains like automated driving, are increasingly adopting neural networks. From this trend arises the need for high-performance hardware exhibiting predictable timing behavior. While…

Hardware Architecture · Computer Science 2026-02-26 Maximilian Kirschner , Konstantin Dudzik , Ben Krusekamp , Jürgen Becker

Analysis of microservices' performance is a considerably challenging task due to the multifaceted nature of these systems. Each request to a microservices system might raise several Remote Procedure Calls (RPCs) to services deployed on…

Software Engineering · Computer Science 2024-04-23 Luca Traini , Jessica Leone , Giovanni Stilo , Antinisca Di Marco

This paper presents the Container Profiler, a software tool that measures and records the resource usage of any containerized task. Our tool profiles the CPU, memory, disk, and network utilization of containerized tasks collecting over…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-08 Varik Hoang , Ling-Hong Hung , David Perez , Huazeng Deng , Raymond Schooley , Niharika Arumilli , Ka Yee Yeung , Wes Lloyd

FPGAs have found increasing adoption in data center applications since a new generation of high-level tools have become available which noticeably reduce development time for FPGA accelerators and still provide high quality of results.…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-15 Marius Meyer , Tobias Kenter , Christian Plessl

Endpoint devices for Internet-of-Things not only need to work under extremely tight power envelope of a few milliwatts, but also need to be flexible in their computing capabilities, from a few kOPS to GOPS. Near-threshold(NT) operation can…

Data centers are increasing in size and complexity, and we need scalable approaches to support their automated analysis and control. Performance counters and power consumption are their key "vital signs". State-of-the-Art (SoA) monitoring…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-18 Antonio Libri , Andrea Bartolini , Luca Benini

RISC-V is emerging as a viable platform for automotive-grade embedded computing, with recent ISO 26262 ASIL-D certifications demonstrating readiness for safety-critical deployment in autonomous driving systems. However, functional safety in…

Software Engineering · Computer Science 2026-04-21 Nick Andreasyan , Mikhail Struve , Alexey Popov , Maksim Nikolaev , Vadim Vashkelis

Handling vast amounts of data is crucial in today's world. The growth of high-performance computing has created a need for parallelization, particularly in the area of machine learning algorithms such as ANN (Approximate Nearest Neighbors).…

Machine Learning · Computer Science 2024-07-19 Konstantin Rumyantsev , Pavel Yakovlev , Andrey Gorshkov , Andrey P. Sokolov

Performance profiling consists of tracing a software system during execution and then analyzing the obtained traces. However, traces themselves affect the performance of the system distorting its execution. Therefore, there is a need to…

Performance · Computer Science 2007-05-23 Edu Metz , Raimondas Lencevicius
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