Memory Management Techniques for Exploiting RDMA in PGAS Languages

Autor:	Barnaby Dalton, Ettore Tiotto, Gabriel Tanase, Michail Alvanos, Gheorghe Almasi
Rok vydání:	2015
Předmět:	Remote direct memory access Address space Computer science Parallel computing Software_PROGRAMMINGTECHNIQUES computer.software_genre Memory management Virtual address space Shared memory Unified Parallel C Compiler Partitioned global address space computer computer.programming_language
Zdroj:	Languages and Compilers for Parallel Computing ISBN: 9783319174723 LCPC
DOI:	10.1007/978-3-319-17473-0_13
Popis:	Partitioned Global Address Space (PGAS) languages are a popular alternative when building applications to run on large scale parallel machines. Unified Parallel C (UPC) is a well known PGAS language that is available on most high performance computing systems. Good performance of UPC applications is often one important requirement for a system acquisition. This paper presents the memory management techniques employed by the IBM XL UPC compiler to achieve optimal performance on systems with Remote Direct Memory Access (RDMA). Additionally we describe a novel technique employed by the UPC runtime for transforming remote memory accesses on a same shared memory node into local memory accesses, to further improve performance. We evaluate the proposed memory allocation policies for various UPC benchmarks and using the IBM® Power® 775 supercomputer [1].
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::64414713a93b40b45ac48b46d8b43bcc https://doi.org/10.1007/978-3-319-17473-0_13 Zobrazit plný text záznamu