CMU-CS-17-126 Computer Science Department School of Computer Science, Carnegie Mellon University
Low-level Concurrent Programming Using the Michael J. Sullivan November 2017 Ph.D. Thesis
The Relaxed Memory Calculus (RMC) is a novel approach for portable lowlevel concurrent programming in the presence of the the relaxed memory behavior caused by modern hardware architectures and optimizing compilers. RMC takes a declarative approach to programming with relaxed memory: programmers explicitly specify constraints on execution order and on the visibility of writes. This differs from other low-level programming language memory models, which–when they exist–are usually based on ordering annotations attached to synchronization operations and/or explicit memory barriers. In this thesis, we argue that this declarative approach based on explicit programmer-specified constraints is a practical approach for implementing low-level concurrent algorithms. To this end, we present RMC-C++, an extension of C++ with RMC constraints, and rmc-compiler, an LLVM based compiler for it.
172 pages
Frank Pfenning, Head, Computer Science Department
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