Science has entered a data-intensive era, driven by a deluge of data being generated by digitally based instruments, sensor networks, and simulation devices. Hence, a growing part of the scientific enterprise is associated with analyzing such data, and such analysis places special demands on computer architectures because the associated calculations have frequent I/O accesses, large memory requirements, and often limited parallelism.
In mid 2011, SDSC will deploy a unique data-intensive high performance computing system called Gordon. Gordon will be a peer-reviewed allocated resource on the National Science Foundation's TeraGrid available to any US researcher. It will have a peak speed expected to be in excess of 200 Teraflops and feature very large shared memory nodes and 1/4 petabyte of flash SSD memory to vastly accelerate large database and data mining applications.
The goal of the GCDID conference is to provide an opportunity for attendees to share their expertise while exchanging ideas about the computational challenges and concerns common to data-intensive problems.
