Collecting and representing parallel programs with high performance instrumentation

Computer architecture;Compilers;Compiler-based instrumentation;Parallel programming;Parallel program analysis;Instrumentation performance;Task graph;Program representation;Heterogeneous computing

Railing, Brian Paul ; Conte, Thomas M. Computer Science Pande, Santosh Vuduc, Richard Worthington, Bruce Yalamanchili, Sudhakar ; Conte, Thomas M.

University:Georgia Institute of Technology

Department:Computer Science

关键词: Computer architecture;    Compilers;    Compiler-based instrumentation;    Parallel programming;    Parallel program analysis;    Instrumentation performance;    Task graph;    Program representation;    Heterogeneous computing;   

Others  :  https://smartech.gatech.edu/bitstream/1853/54431/1/RAILING-DISSERTATION-2015.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

Computer architecture has looming challenges with finding program parallelism, process technology limits, and limited power budget. To navigate these challenges, a deeper understanding of parallel programs is required. I will discuss the task graph representation and how it enables programmers and compiler optimizations to understand and exploit dynamic aspects of the program.I will present Contech, which is a high performance framework for generating dynamic task graphs from arbitrary parallel programs. The Contech framework supports a variety of languages and parallelization libraries, and has been tested on both x86 and ARM. I will demonstrate how this framework encompasses a diversity of program analyses, particularly by modeling a dynamically reconfigurable, heterogeneous multi-core processor.