A Shared Facility for Rapid Access and Analysis of Massive DATA Blocks: RAMDATA

该奖项由化学研究仪器和设施 （CRIF）计划和主要研究仪器（MRI）计划将 使普渡大学化学系能够获得一个 用于快速访问和分析大量数据块的共享设施， 被称为RAMDATA。 该设施将允许研究小组处理 大量数据块（即，100到10，000千兆字节）， 促进布鲁克海文光源处的新图像研究， 阿贡国家实验室以及反应研究在 交替梯度同步加速器与相对论重离子 粒子加速器（RHIC） 基于加速器的研究取得成功的一个重要先决条件是 用于可访问存储和快速处理大数据块的设施。 例如，在核反应研究中， 反应轨迹的三维跟踪 产品在一个 典型实验 与此同时，数据生成量继续增长， 甚至更快的速度。 高速、大容量数据处理能力 从天文学到天文学， 粒子物理学

This award from the Chemistry Research Instrumentation and Facilities (CRIF) Program and the Major Research Instrumentation (MRI) Program will enable the Department of Chemistry at Purdue University to acquire a shared facility for rapid access and analysis of massive data blocks, known as RAMDATA. The facility will allow research groups to process massive data blocks (i.e., 100 to 10,000 gigabytes) and greatly facilitate new image studies at the light sources at Brookhaven and Argonne National Laboratories as well as reaction studies at the Alternating Gradient Synchrotron (AGS) and Relativistic Heavy Ion Collider (RHIC) particle accelerators. An important prerequisite for success in accelerator-based research is a facility for accessible storage and fast processing of large data blocks. For example, in nuclear reaction studies, modern devices for high resolution three dimensional tracking of the trajectories of reaction products yield several terabytes (trillion bytes) of data output for a typical experiment. Meanwhile, data generation is continuing to grow at an even faster rate. High speed, high volume data handling capabilities are needed in a wide variety of disciplines, ranging from astronomy to particle physics.