Accelerated application development: The ORNL Titan experience. (August 2015)

• Record Type: Journal Article
• Authors: Joubert, Wayne; Archibald, Rick; Berrill, Mark; Michael Brown, W.; Eisenbach, Markus; Grout, Ray; Larkin, Jeff; Levesque, John; Messer, Bronson; Norman, Matt; Philip, Bobby; Sankaran, Ramanan; Tharrington, Arnold; Turner, John
• Is Part Of: Computers & electrical engineering. Volume 46(2015)
• Page Start: 123
• Page End: 138
• Publication Date: 2015-08
• Subjects: High performance computing -- Accelerated computing -- GPU graphics processing units -- Science applications -- Code refactoring -- Software optimization; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.04.008
• Languages: English
• ISSNs: 0045-7906

Abstract

Graphical abstract: Highlights: Lessons learned are given for moving applications to the GPU-based Titan system. A carefully managed readiness effort is essential to preparing for new hardware. Applications typically require code restructuring to port to accelerators. Exposing more parallelism and minimizing data traffic are common porting themes. Performance gains of 2X–7X have been realized for application codes on Titan. Abstract: The use of computational accelerators such as NVIDIA GPUs and Intel Xeon Phi processors is now widespread in the high performance computing community, with many applications delivering impressive performance gains. However, programming these systems for high performance, performance portability and software maintainability has been a challenge. In this paper we discuss experiences porting applications to the Titan system. Titan, which began planning in 2009 and was deployed for general use in 2013, was the first multi-petaflop system based on accelerator hardware. To ready applications for accelerated computing, a preparedness effort was undertaken prior to delivery of Titan. In this paper we report experiences and lessons learned from this process and describe how users are currently making use of computational accelerators on Titan.