• Home
• People
• Jobs
• Visit
• Thesis Topics
• Publications
• Conference Rankings
• Research
• Bcast
• Teaching
• Contact

SPONSORS

COLLABORATIONS

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Publications of SPCL

A. Friedley, T. Hoefler, G. Bronevetsky, A. Lumsdaine:
	Ownership Passing: Efficient Distributed Memory Programming on Multi-core Systems (Vol , Nr. , In Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming, presented in Shenzen, China, pages 177--186, ACM, ISSN: , ISBN: 978-1-4503-1922-5, Feb. 2013, ) Publisher Reference Abstract The number of cores in multi- and many-core high-performance processors is steadily increasing. MPI, the de-facto standard for programming high-performance computing systems offers a distributed memory programming model. MPI's semantics force a copy from one process' send buffer to another process' receive buffer. This makes it difficult to achieve the same performance on modern hardware than shared memory programs which are arguably harder to maintain and debug. We propose generalizing MPI's communication model to include ownership passing, which make it possible to fully leverage the shared memory hardware of multi- and many-core CPUs to stream communicated data concurrently with the receiver's computations on it. The benefits and simplicity of message passing are retained by extending MPI with calls to send (pass) ownership of memory regions, instead of their contents, between processes. Ownership passing is achieved with a hybrid MPI implementation that runs MPI processes as threads and is mostly transparent to the user. We propose an API and a static analysis technique to transform legacy MPI codes automatically and transparently to the programmer, demonstrating that this scheme is easy to use in practice. Using the ownership passing technique, we see up to 51% communication speedups over a standard message passing implementation on state-of-the art multicore systems. Our analysis and interface will lay the groundwork for future development of MPI-aware optimizing compilers and multi-core specific optimizations, which will be key for success in current and next-generation computing platforms. Documents download article: download slides:
	BibTeX
@inproceedings{ownership-passing,   author={A. Friedley and Torsten Hoefler and G. Bronevetsky and Andrew Lumsdaine},   title={{Ownership Passing: Efficient Distributed Memory Programming on Multi-core Systems}},   year={2013},   month={02},   pages={177--186},   volume={},   number={},   booktitle={Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming},   location={Shenzen, China},   publisher={ACM},   issn={},   isbn={978-1-4503-1922-5},   note={}, }