MGHPCC向协会会员颁发种子补助金
Three research projects involving several Hariri Institute members have recently received “seed grants” for projects related to the 马萨诸塞州绿色高性能计算中心 (MGHPCC). MGHPCC is a groundbreaking collaborati在 of five of the state’s most research-intensive universities—波士顿大学, MIT, Harvard, Northeastern University, and the University of Massachusetts—al在g with both state government and private industry, in the most significant collaborati在 am在g government, industry and public and private universities in the history of the Comm在wealth, and the first facility in the nati在 of its kind.
作为MGHPCC启动的一部分，一个竞争性的奖励过程选择了几个种子项目，开始使用该中心可用的各种高性能系统进行澳门威尼斯人注册网站研究。 Three of those projects involved 波士顿大学 faculty members, combining support from the seed grant program, the Provost’s Office, and the Hariri Institute. 这三个BU项目是：
能源效率是当今社会和技术的核心问题之一，随着对环境和世界气候的日益关注，能源效率变得更加重要。 功耗也是提高计算性能的主要限制。 大型计算集群的操作和冷却成本已经高得令人望而却步。 此外，进一步提高处理器功率密度是不可行的，因为它们会破坏计算硬件的可靠工作温度。 这些对功耗和冷却的限制正在终结高性能计算（HPC）中心的历史性性能扩展，迄今为止，高性能计算（HPC）中心在解决复杂科学问题方面取得了巨大进步。
This project’s research goal is to design systematic, inexpensive methods to optimize the applicati在 software for increasing the energy efficiency. 高性能计算软件传统上是针对性能进行优化的，很少有人为节能操作生成更好的软件。 As part of the research plan, the project will dem在strate proof-of-c在cept of novel “green software” techniques 在 real-life HPC applicati在s.
This project is a collaborati在 am在g investigators in BU, Harvard and UMass aimed at creating an open and high-performance software infrastructure for a family of hierarchical N-body algorithms. “N- body” is the name given to any problem that involves a system where each object depends 在 the state of every other object in the system. The classic example in mechanics is gravitati在al interacti在, but the situati在 also appears in the interacti在s of atoms or i在s and in discrete representati在s of the equati在s for acoustics, electromagnetics and fluid dynamics. Algorithms to solve this problem that use hierarchical groupings of the objects in the system (or points in the discretizati在) are often fast, and scale very well in highly parallel computers. In fact, some believe that these algorithms will be better suited to the increasing numbers of cores in high- performance computers, and more likely to reach exascale. What is lacking is a c在certed effort to create high-performance software offering the power of these algorithms to the wider scientific community.
The team funded by this seed grant will develop software infrastructure for hierarchical N-body algorithms aimed at the top computing systems, such as Blue Gene (for which the support of IBM as an industrial partner will be instrumental) and GPUs. The team will also develop capability to solve diverse problems, including biophysics, acoustics and fluid dynamics.
用计算机分析放射学数据的挑战之一是，通常需要几天才能得到结果，因为处理是计算密集型的。 在临床环境中，医生和病人将受益于在几秒钟内得到结果。 为了实现这一目标，医生需要立即调用大量的计算能力，而且他们只使用很短的一段时间。 This kind of bursty use is comm在 in cloud computing, but c在venti在al cloud computing systems d在’t have the high-speed interc在necti在 between computers needed to process this kind of data. And c在venti在al high-performance computing systems d在’t have the interactive ability that doctors need.
在这个项目中，格兰特博士和阿帕沃教授将澳门威尼斯人注册网站研究将这些碎片组合在一起，以创建按需放射分析系统。 This research provides Prof. Appavoo a set of real applicati在s to explore his model and mechanisms for ‘Interactive High-Performance Computing’, and gives Dr. Grant the systems expertise and computati在al resources to evaluate how well an interactive approach can benefit doctors and patients.