Title :
Sequoia: Programming the Memory Hierarchy
Author :
Fatahalian, Kayvon ; Knight, Timothy J. ; Houston, Mike ; Erez, Mattan ; Horn, Daniel Reiter ; Leem, Larkhoon ; Park, Ji Young ; Ren, Manman ; Aiken, Alex ; Dally, William J. ; Hanrahan, Pat
Author_Institution :
Stanford Univ., CA
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
Keywords :
distributed memory systems; high level languages; program compilers; Sequoia programming language; cell processor-based blade system; compiler; distributed memory cluster; parallel programming system; runtime system; Blades; Computer languages; Disaster management; Memory management; Microprocessors; Parallel machines; Parallel programming; Permission; Program processors; Programming profession;
Conference_Titel :
SC 2006 Conference, Proceedings of the ACM/IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
0-7695-2700-0
Electronic_ISBN :
0-7695-2700-0