HPC | 高效能運算

  • What is it?
    High Performance Computing, or HPC, refers to the ability to process data and perform calculations at high speeds, especially in systems that function above a trillion floating point operations per second (teraFLOPS). The world's leading supercomputers operate on the scale of petaFLOPS (quadrillion floating point operations per second), whereas the next goalpost is “exascale computing”, which functions above a quintillion floating point operations per second (exaFLOPS).

    To achieve this level of performance, parallel computing across a number of CPUs or GPUs is required. One common type of HPC solutions is a computing cluster, which aggregates the computing power of multiple computers (referred to as "nodes") into a large group. A cluster can deliver much higher performance than a single computer, as individual nodes work together to solve a problem larger than any one computer can easily solve.

  • Why do you need it?
    Acquiring HPC capabilities for your organization is important, whether it is through a computing cluster or high-end mainframe computer. HPC can solve problems in science, engineering, or business. Examples include:

    Science: HPC is used by scientists at universities and research institutes to understand the formation of our universe, conduct research into particle physics, or simulate and predict climate and weather patterns.

    Media & Entertainment: HPC solutions such as render farms can be used to render animations and special effects, edit feature films, or livestream special events globally.

    Artificial Intelligence: A particular subset of HPC that is currently very popular is machine learning, which is used to develop a myriad of artificial intelligence applications, such as self-driving vehicles, facial recognition software, speech recognition and translation, or drone technology.

    Oil and Gas: HPC is used to process data such as satellite images, ocean floor sonar readings, etc., in order to identify potential new deposits of oil or gas.

    Financial Services: HPC is used to track stock trends and realize algorithmic trading, or analyze patterns to detect fraudulent activity.

    Medicine: HPC is used to help develop cures for diseases like diabetes, or to enable faster and more accurate diagnosis methods, such as cancer screening techniques.

  • How is GIGABYTE helpful?
    GIGABYTE's H-Series High Density Servers and G-Series GPU Servers are designed especially for use in HPC applications, since they combine a high amount of computing power into a 1U, 2U, or 4U server chassis. The servers can be linked into a cluster via interconnects such as Ethernet, Infiniband, or Omni-Path. An example of a HPC server solution is the GIGABYTE H262 Series equipped with the AMD EPYC™ 7002 Series processor, which can feature up to 512 cores / 1024 threads of computing power (two 64-core AMD EPYC™ CPUs per node, four nodes per system) in a single 2U chassis. By populating a full 42U server rack with these systems (leaving some room for networking switches), the user will be able to utilize up to 10,240 cores and 20,480 threads—a massive amount of computing power.

  • WE RECOMMEND
    RELATED ARTICLES
    西班牙IFISC用技嘉伺服器 為新冠肺炎、氣候變遷尋求解方
    西班牙跨學科物理和複雜系統研究所,運用技嘉科技的先進伺服器產品,研究影響全人類的重大議題,包括:氣候變遷、環境污染、新冠肺炎疫情。所面對的運算問題複雜且多元,技嘉伺服器使命必達,因為,研究所使用的三款伺服器,適合進行高效能運算、數值模擬、發展人工智慧、管理和分析大數據。
    技嘉伺服器加持 巴塞隆納大學超前部屬全新運算叢集
    西班牙巴塞隆納大學理論與計算化學研究所,運用技嘉科技的伺服器籌設新的運算叢集,提升大學資料中心的運算能力高達四成以上。數以百計的研究人員受惠於AMD EPYC™處理器的強大運算能力,管理者可透過技嘉免費提供的技嘉伺服器管理軟體(GSM),遠端遙控多台伺服器,輕鬆管理新的運算叢集。
    美國洛厄爾天文台 用技嘉伺服器搜索太陽系外的外星生命
    美國亞利桑那州的洛厄爾天文台,用技嘉科技的G482-Z50 GPU協同運算伺服器分析恆星發出的「太空噪音」,這有助於科學家更快找到太陽系外可居住的行星。強大的AMD EPYC™處理器、頂尖的平行運算能力、優越的可擴充性及領先業界的穩定特性,讓伺服器能勝任這項難如登天的任務。科學家們樂觀地表示,在我們有生之年,將找到外太空的「第二顆地球」。
    成功案例:台師大建置雲端運算平台 開創科學研究更多可能
    高效能運算HPC技術在近代科學研究中扮演關鍵角色,國立臺灣師範大學理學院考量HPC的重要性及前瞻性發展,斥資以技嘉科技的伺服器籌設雲端運算平台,盼加速產出研究成果、培訓更多專業人才。
    Back to top