Future Possibilities and Effectiveness of JIT from Elixir Code of Image Processing and Machine Learning into Native Code with SIMD Instructions

• Item type: Trans(1)
• 公開日: 2022-05-20
• タイトル: Future Possibilities and Effectiveness of JIT from Elixir Code of Image Processing and Machine Learning into Native Code with SIMD Instructions
• タイトル / 言語: en
• タイトル: Future Possibilities and Effectiveness of JIT from Elixir Code of Image Processing and Machine Learning into Native Code with SIMD Instructions
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [発表概要, Unrefereed Presentatin Abstract]
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Faculty of Environmental Engineering, The University of Kitakyushu
• 著者所属(英): en
• 著者所属(英): Faculty of Environmental Engineering, The University of Kitakyushu
• 著者名: Susumu, Yamazaki
• 著者名(英): Susumu, Yamazaki
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Nx is a multi-dimensional tensor library for Elixir with multi-staged compilation to the CPU or GPU, which is similar to NumPy and TensorFlow in Python. Nx is expected to be applied in image processing and machine learning. Code used by them in C is often optimized for CPUs into native code with SIMD instructions. In this presentation, we'll show that native code with SIMD instructions is 1000x+ faster than equivalent Elixir code with Nx, to evaluate future possibilities and effectiveness of such code generation and optimization. One of our future works is to implement code generation into BeamAsm, which is a JIT for Erlang VM, which is the backend of Elixir, though it doesn't generate SIMD instructions, now.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Nx is a multi-dimensional tensor library for Elixir with multi-staged compilation to the CPU or GPU, which is similar to NumPy and TensorFlow in Python. Nx is expected to be applied in image processing and machine learning. Code used by them in C is often optimized for CPUs into native code with SIMD instructions. In this presentation, we'll show that native code with SIMD instructions is 1000x+ faster than equivalent Elixir code with Nx, to evaluate future possibilities and effectiveness of such code generation and optimization. One of our future works is to implement code generation into BeamAsm, which is a JIT for Erlang VM, which is the backend of Elixir, though it doesn't generate SIMD instructions, now.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11464814
• 書誌情報: 情報処理学会論文誌プログラミング（PRO）; 巻 15, 号 2, p. 7-7, 発行日 2022-05-20
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7802
• 出版者 / 言語: ja
• 出版者: 情報処理学会