An OpenMP based parallelization compiler for C applications. In Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation. SCAF: A Speculation-Aware Collaborative Dependence Analysis Framework.

Sotiris Apostolakis, Ziyang Xu, Zujun Tan, Greg Chan, Simone Campanoni, and David I.

In Proceedings of the 2nd international conference on Supercomputing. A framework for determining useful parallelism.

Frances Allen, Michael Burke, Ron Cytron, Jeanne Ferrante, and Wilson Hsieh.We show that CARMOT's recommendations achieve the same speedup as hand-tuned OpenMP directives and avoid memory leaks with C++ smart pointers.įrom this, we argue that PSEC tools, such as CARMOT, can provide support for the rich ecosystem of modern programming language abstractions. We propose a profile-based approach that automates PSEC and provides abstraction recommendations to programmers.īecause a profile-based approach incurs an impractical overhead, we introduce the Compiler and Runtime Memory Observation Tool (CARMOT), a PSEC-specific compiler co-designed with a parallel runtime.ĬARMOT reduces the overhead of PSEC by two orders of magnitude, making PSEC practical.

Without tool support for PSEC, a programmer's only option is to manually study the entire codebase.

We call this process Program State Element Characterization (PSEC). To properly use these abstractions in an existing codebase, programmers must determine how a given source code region interacts with Program State Elements (PSEs) (i.e., the program's variables and memory locations). These abstractions range from the well-established OpenMP language extensions to newer C++ features like smart pointers. Modern programming languages offer abstractions that simplify software development and allow hardware to reach its full potential.

Auto clicker sourceforge