SmartApps: An Application Centric Approach to High Performance Computing
Conference Paper
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
Springer-Verlag Berlin Heidelberg 2001. State-of-the-art run-time systems are a poor match to diverse, dynamic distributed applications because they are designed to provide support to a wide variety of applications, without much customization to individual specific requirements. Little or no guiding information flows directly from the application to the run-time system to allow the latter to fully tailor its services to the application. As a result, the performance is disappointing. To address this problem, we propose application-centric computing, or SMART APPLICATIONS. In the executable of smart applications, the compiler embeds most run-time system services, and a performance-optimizing feedback loop that monitors the applications performance and adaptively reconfigures the application and the OS/hardware platform. At run-time, after incorporating the codes input and the systems resources and state, the SmartApp performs a global optimization. This optimization is instance specific and thus much more tractable than a global generic optimization between application, OS and hardware. The resulting code and resource customization should lead to major speedups. In this paper, we first describe the overall architecture of Smartapps and then present the achievements to date: Run-time optimizations, performance modeling, and moderately reconfigurable hardware.
name of conference
Languages and Compilers for Parallel Computing, 13th International Workshop, LCPC 2000, Yorktown Heights, NY, USA, August 10-12, 2000, Revised Papers
