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

这份来自化学研究仪器和设施（CRIF）项目和主要研究仪器（MRI）项目的合同将使普渡大学化学系获得一个共享设施，用于快速访问和分析被称为RAMDATA的大量数据块。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），并极大地促进布鲁克海文和阿贡国家实验室光源的新图像研究，以及交替梯度同步加速器（AGS）和相对论重离子对撞机（RHIC）粒子加速器的反应研究。在基于加速器的研究中取得成功的一个重要先决条件是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，用于高分辨率三维跟踪反应产物轨迹的现代设备为一个典型的实验产生数太字节（万亿字节）的数据输出。与此同时，数据生成继续以更快的速度增长。从天文学到粒子物理学，各种学科都需要高速、大容量的数据处理能力。

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.