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The increasing complexity of autonomous systems has driven a shift to integrated heterogeneous SoCs with real-time and safety demands. Ensuring deterministic WCETs and low-latency for critical tasks requires minimizing interference on…

Hardware Architecture · Computer Science 2025-04-09 Christopher Reinwardt , Robert Balas , Alessandro Ottaviano , Angelo Garofalo , Luca Benini

Speculative attacks are still an active threat today that, even if initially focused on the x86 platform, reach across all modern hardware architectures. RISC-V is a newly proposed open instruction set architecture that has seen traction…

Cryptography and Security · Computer Science 2023-11-08 Ruxandra Bălucea , Paul Irofti

Mastering computational architectures is essential for developing fast and power-efficient programs. Our advanced simulator empowers both IT students and professionals to grasp the fundamentals of superscalar RISC-V processors, HW/SW…

Hardware Architecture · Computer Science 2024-11-13 Jiri Jaros , Michal Majer , Jakub Horky , Jan Vavra

A current trend in HPC systems is the utilization of architectures with SIMD or vector extensions to exploit data parallelism. There are several ways to take advantage of such modern vector architectures, each with a different impact on the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-05 Marc Blancafort , Roger Ferrer , Guillaume Houzeaux , Marta Garcia-Gasulla , Filippo Mantovani

Neural networks are increasingly used in real-time systems, such as automated driving applications. This requires high-performance hardware with predictable timing behavior. State-of-the-art real-time hardware is limited in memory and…

Hardware Architecture · Computer Science 2024-10-15 Maximilian Kirschner , Konstantin Dudzik , Jürgen Becker

Edge AI deployment faces critical challenges balancing computational performance, energy efficiency, and resource constraints. This paper presents FPGA-accelerated RISC-V instruction set architecture (ISA) extensions for efficient neural…

Hardware Architecture · Computer Science 2025-11-11 Arya Parameshwara , Santosh Hanamappa Mokashi

Neural Networks (NNs) have been widely adopted due to their outstanding efficacy and adaptability across computer vision and deep learning applications. The optimization of NNs is necessary to enable their deployment on energy constrained…

Hardware Architecture · Computer Science 2026-05-12 Pragun Jaswal , L. Hemanth Krishna , B. Srinivasu

This work presents Bio-RV, a compact and resource-efficient RISC-V processor intended for biomedical control applications, such as accelerator-based biomedical SoCs and implantable pacemaker systems. The proposed Bio-RV is a multi-cycle…

Signal Processing · Electrical Eng. & Systems 2026-04-09 Vijay Pratap Sharma , Annu Kumar , Mohd Faisal Khan , Mukul Lokhande , Santosh Kumar Vishvakarma

As RISC-V architectures proliferate across embedded and high-performance domains, developers face persistent challenges in performance optimization due to fragmented tooling, immature hardware features, and platform-specific defects. This…

Performance · Computer Science 2025-07-31 Alexander Batashev

In this paper we present Arrow, a configurable hardware accelerator architecture that implements a subset of the RISC-V v0.9 vector ISA extension aimed at edge machine learning inference. Our experimental results show that an Arrow…

Hardware Architecture · Computer Science 2021-07-16 Imad Al Assir , Mohamad El Iskandarani , Hadi Rayan Al Sandid , Mazen A. R. Saghir

Rapid advancements in RISC-V hardware development shift the focus from low-level optimizations to higher-level parallelization. Recent RISC-V processors, such as the SOPHON SG2042, have 64 cores. RISC-V processors with core counts…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-11 Alexander Strack , Christopher Taylor , Dirk Pflüger

RISC-V is an extendable Instruction Set Architecture, growing in popularity for embedded systems. However, optimizing it to specific requirements, imposes a great deal of manual effort. To bridge the gap between software and ISA, the tool…

Hardware Architecture · Computer Science 2025-08-12 Andreas Hager-Clukas , Philipp van Kempen , Stefan Wallentowitz

By exploiting the modular RISC-V ISA this paper presents the customization of instruction set with posit\textsuperscript{\texttrademark} arithmetic instructions to provide improved numerical accuracy, well-defined behavior and increased…

Hardware Architecture · Computer Science 2024-04-09 Federico Rossi , Francesco Urbani , Marco Cococcioni , Emanuele Ruffaldi , Sergio Saponara

Resource-limited robots face significant challenges in executing computationally intensive tasks, such as locomotion and manipulation, particularly for real-time optimal control algorithms like Model Predictive Control (MPC). This paper…

Many libraries, such as OpenCV, FFmpeg, XNNPACK, and Eigen, utilize Arm or x86 SIMD Intrinsics to optimize programs for performance. With the emergence of RISC-V Vector Extensions (RVV), there is a need to migrate these performance legacy…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-29 Ju-Hung Li , Jhih-Kuan Lin , Yung-Cheng Su , Chi-Wei Chu , Lai-Tak Kuok , Hung-Ming Lai , Chao-Lin Lee , Jenq-Kuen Lee

Whilst numerous areas of computing have adopted the RISC-V Instruction Set Architecture (ISA) wholesale in recent years, it is yet to become widespread in HPC. RISC-V accelerators offer a compelling option where the HPC community can…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-19 Nick Brown , Jake Davies , Felix LeClair

Cryptographic computations are fundamental to modern computing, ensuring data confidentiality and integrity. However, these operations are highly vulnerable to power side-channel attacks that exploit variations in power consumption to leak…

Cryptography and Security · Computer Science 2026-02-25 Amisha Srivastava , Muskan Porwal , Kanad Basu

The emergence and rapid development of the open RISC-V instruction set architecture opens up new horizons on the way to efficient devices, ranging from existing low-power IoT boards to future high-performance servers. The effective use of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-04 Evgeny Kozinov , Evgeny Vasiliev , Andrey Gorshkov , Valentina Kustikova , Artem Maklaev , Valentin Volokitin , Iosif Meyerov

A range of RISC-V based accelerators are available and coming to market, and there is strong potential for these to be used for High Performance Computing (HPC) workloads. However, such accelerators tend to provide bespoke programming…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-03 Nick Brown , Jake Davies , Felix LeClair

Microprocessor design, debug, and validation research and development are increasingly based on modeling and simulation at different abstraction layers. Microarchitecture-level simulators have become the most commonly used tools for…

Hardware Architecture · Computer Science 2021-06-21 Odysseas Chatzopoulos , George-Marios Fragkoulis , George Papadimitriou , Dimitris Gizopoulos
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