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As customized accelerator design has become increasingly popular to keep up with the demand for high performance computing, it poses challenges for modern simulator design to adapt to such a large variety of accelerators. Existing…

Programming Languages · Computer Science 2022-02-03 Zhijing Li , Yuwei Ye , Stephen Neuendorffer , Adrian Sampso

With the rapid advancement of Large Language Models (LLMs), the demand for robust instruction-following capabilities in code generation tasks has grown significantly. Code generation not only facilitates faster prototyping and automated…

Software Engineering · Computer Science 2025-08-05 Kaiwen Yan , Hongcheng Guo , Xuanqing Shi , Shaosheng Cao , Donglin Di , Zhoujun Li

This report makes the case that a well-designed Reduced Instruction Set Computer (RISC) can match, and even exceed, the performance and code density of existing commercial Complex Instruction Set Computers (CISC) while maintaining the…

Hardware Architecture · Computer Science 2016-07-11 Christopher Celio , Palmer Dabbelt , David A. Patterson , Krste Asanović

Residue Number Systems (RNS) are parallel number systems that allow the computation on large numbers. They are used in high performance digital signal processing devices and cryptographic applications. However, the rigidity of instruction…

Hardware Architecture · Computer Science 2024-12-10 Laurent-Stéphane Didier , Jean-Marc Robert

Recent advancements in open-source code large language models (LLMs) have been driven by fine-tuning on the data generated from powerful closed-source LLMs, which are expensive to obtain. This paper explores whether it is possible to use a…

Computation and Language · Computer Science 2024-12-17 Yutong Wu , Di Huang , Wenxuan Shi , Wei Wang , Lingzhe Gao , Shihao Liu , Ziyuan Nan , Kaizhao Yuan , Rui Zhang , Xishan Zhang , Zidong Du , Qi Guo , Yewen Pu , Dawei Yin , Xing Hu , Yunji Chen

Existing large language models (LLMs) face challenges of following complex instructions, especially when multiple constraints are present and organized in paralleling, chaining, and branching structures. One intuitive solution, namely…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Yulei Qin , Gang Li , Zongyi Li , Zihan Xu , Yuchen Shi , Zhekai Lin , Xiao Cui , Ke Li , Xing Sun

The customizability of RISC-V makes it an attractive choice for accelerating deep neural networks (DNNs). It can be achieved through instruction set extensions and corresponding custom functional units. Yet, efficiently exploiting these…

Machine Learning · Computer Science 2025-04-29 Muhammad Sabih , Abrarul Karim , Jakob Wittmann , Frank Hannig , Jürgen Teich

As large language models (LLMs) are increasingly applied to real-world scenarios, it becomes crucial to understand their ability to follow multiple instructions simultaneously. To systematically evaluate these capabilities, we introduce two…

Computation and Language · Computer Science 2025-09-26 Keno Harada , Yudai Yamazaki , Masachika Taniguchi , Edison Marrese-Taylor , Takeshi Kojima , Yusuke Iwasawa , Yutaka Matsuo

This paper describes our experience implementing a Hypervisor extension for a 64-bit RISC-V processor. We describe the design process and the main required parts with a brief explanation of each one.

RISC-V is gaining popularity for its adaptability and cost-effectiveness in processor design. With the increasing adoption of RISC-V, the importance of implementing robust security verification has grown significantly. In the state of the…

Cryptography and Security · Computer Science 2025-02-17 Sharjeel Imtiaz , Uljana Reinsalu , Tara Ghasempouri

Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting applications to new hardware architectures are tasks necessary in the software development process. Therefore, developers have…

Software Engineering · Computer Science 2017-12-06 Ronny Tschüter , Johannes Ziegenbalg , Bert Wesarg , Matthias Weber , Christian Herold , Sebastian Döbel , Ronny Brendel

The ability of large language models (LLMs) to follow user instructions is central to their reliability, safety, and usefulness. While prior studies assess instruction adherence in the model's main responses, we argue that it is also…

Machine Learning · Computer Science 2025-10-20 Yongchan Kwon , Shang Zhu , Federico Bianchi , Kaitlyn Zhou , James Zou

Instruction tuning constitutes a prevalent technique for tailoring Large Vision Language Models (LVLMs) to meet individual task requirements. To date, most of the existing approaches are confined to single-task adaptation, whereas the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Meng Cao , Yuyang Liu , Yingfei Liu , Tiancai Wang , Jiahua Dong , Henghui Ding , Xiangyu Zhang , Ian Reid , Xiaodan Liang

The Instruction Set Architecture (ISA) is the contract between compilers and processors; proving this contract formally demands cross-level connection to existing mechanized compilers and hardware implementations. As an open, modular ISA…

Programming Languages · Computer Science 2026-05-07 Shuanglong Kan , Sebastian Ertel

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

In this paper, we propose a high-performance RISC-V soft processor with an efficient fetch unit supporting the compressed instructions targeting on FPGA. The compressed instruction extension in RISC-V can reduce the program size by about…

Hardware Architecture · Computer Science 2020-11-24 Takuto Kanamori , Hiromu Miyazaki , Kenji Kise

Context: Compilation time is an important factor in the adaptability of a software project. Fast recompilation enables cheap experimentation with changes to a project, as those changes can be tested quickly. Separate and incremental…

Programming Languages · Computer Science 2020-02-17 Jeff Smits , Gabriël D. P. Konat , Eelco Visser

RISC-Vs growing traction leads to the release of new RISC-V cores on a near monthly basis. In this growing and diverse ecosystem, understanding the performance and other properties of a RISC-V core is of great importance since selecting the…

Hardware Architecture · Computer Science 2023-04-13 Lucas Klemmer , Daniel Große

Architectural simulators help in better understanding the behaviour of existing architectures and the design of new architectures. Virtualization has regained importance and this has put a pressing demand for the simulation of virtualized…

Hardware Architecture · Computer Science 2022-06-02 Swapneel C. Mhatre , Priya Chandran

Large visual language models (LVLMs) have demonstrated excellent instruction-following capabilities, yet remain vulnerable to stealthy backdoor attacks when finetuned using contaminated data. Existing backdoor defense techniques are usually…

Cryptography and Security · Computer Science 2025-06-09 Yuan Xun , Siyuan Liang , Xiaojun Jia , Xinwei Liu , Xiaochun Cao