The Pittsburgh Supercomputing Center (PSC) is hosting the 11th LCI International Conference on High-Performance Clustered Computing. This year the Conference will focus on the impact of multi-core technologies, including heterogeneous approaches using GPGPUs and Cells, on high end computing; and the power consumption and scaling challenges of peta- and exa-scale computing.
The conference is a four-day event that includes a conference, pre-conference tutorials, vendor presentations, and ample networking opportunities. The technical program focuses on experiences with applications, tools, user environments and administration of large-scale clustered systems across a vast array of sectors. The conference attracts the world's top practitioners of clustered computing who gather to share experiences and update colleagues on the latest developments in the field.
The conference will examine the promise of new technologies (e.g., multi-core processors, acceleration coprocessors, advanced interconnects and high-performance I/O solutions) and explore the scaling and performance techniques and modifications necessary for systems, data and applications to achieve petascale-class performance. It will feature experts who will discuss the state of the art in various aspects of clustered computing, including developing the hardware, software environments, and applications to reach petascale with a focus on the near-term activities. Vendors will highlight the contributions that their companies make to the rapidly expanding field of clustered computing.
Mark your calendar now and plan to attend. The 11th LCI International Conference on High-Performance Clustered Computing is the one conference where you'll simultaneously solve your problems, expand your knowledge base, and make valuable professional contacts.
LCI is the premier international forum to share information on management, administration, and scientific computing techniques for high-performance computing. Founded in 2000, it includes some of the world's foremost specialists in building and deploying clustered high-performance computing systems.
