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	SCHEDULE: NOV 11-17, 2006 Sequoia: Programming the Memory Hierarchy Session: Memory Event Type: Paper Time: 1:30pm - 2:00pm Session Chair: Mario Lauria Author(s): Kayvon Fatahalian, Timothy J. Knight, Mike Houston, Mattan Erez, Daniel R. Horn, Larkhoon Leem, Ji Young Park, Manman Ren, Alex Aiken, William J. Dally, Pat Hanrahan Location: 20-21 Abstract: We present Sequoia, a programming language designed to facilitate the development of memory hierarchy aware parallel programs that remain portable across modern machines featuring different memory hierarchy configurations. Sequoia abstractly exposes hierarchical memory in the programming model and provides language mechanisms to describe communication vertically through the machine and to localize computation to particular memory locations within it. We have implemented a complete programming system, including a compiler and runtime systems for Cell processor-based blade systems and distributed memory clusters, and demonstrate efficient performance running Sequoia programs on both of these platforms. This paper can be found in the ACM and IEEE Digital Libaries Click here for ACM Click here for IEEE Chair/ Author Details: Mario Lauria (Chair) Ohio State University Kayvon Fatahalian Stanford University Timothy J. Knight Stanford University Mike Houston Stanford University Mattan Erez Stanford University Daniel R. Horn Stanford University Larkhoon Leem Stanford University Ji Young Park Stanford University Manman Ren Stanford University Alex Aiken Stanford University William J. Dally Stanford University Pat Hanrahan Stanford University
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