{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/web-based-simulator-of-superscalar-risc-v","title":"Web-Based Simulator of Superscalar RISC-V Processors","arxiv_id":"2411.07721","date":"2024-11-12","proceeding":null,"authors":["Jiri Jaros","Michal Majer","Jakub Horky","Jan Vavra"],"abstract":"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 co-design and HPC optimization techniques. With customizable processor and memory architecture, full C compiler support, and detailed runtime statistics, this tool offers a comprehensive learning experience. Enjoy the convenience of a modern, web-based GUI to enhance your understanding and skills.","url_abs":"https://arxiv.org/abs/2411.07721v1","url_pdf":"https://arxiv.org/pdf/2411.07721v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"web-based-simulator-of-superscalar-risc-v","repo_url":"https://github.com/Sekky61/riscv-sim","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}