Data-Intensive Discoveries in Science: the Fourth Paradigm
Scientific computing increasingly revolves around massive amounts of data. From physical sciences, to numerical simulations, to high throughput genomics and homeland security, we are quickly dealing with petabytes if not exabytes of data. This new, data-centric computing requires a fresh look at computing architectures and strategies. We will revisit Amdahl's Law establishing the relation between CPU and I/O in a balanced computer system, using this to analyze current computing architectures and workloads. We will discuss how existing hardware can be used to build systems that are much closer to an ideal Amdahl machine, and we will describe a hypothetical cheap, yet high performance, multi-petabyte system currently under consideration at Johns Hopkins. We will also explore strategies of interacting with very large amounts of data, and compare various large-scale data analysis platforms.
LACCIR: Results, Thoughts, and Opportunities
Since May 2007, the LACCIR Federation has been promoting collaborative research activities focused in ICT applications among Latin American and Caribbean researchers. This joint research work has allowed the development of innovative ICT solutions to address region-wide challenges in such areas as education, healthcare, environment, energy, and e-government. This presentation will provide an up-to-date account of LACCIR results and will highlight future opportunities for ICT research in the region. During the presentation, we will also announce the RFP (request for proposal) process for the 2012 LACCIR collaborative research programs.