eprintid: 11585 rev_number: 7 eprint_status: archive userid: 1 dir: disk0/00/01/15/85 datestamp: 2011-02-03 15:51:55 lastmod: 2014-08-19 02:25:46 status_changed: 2012-08-15 08:52:34 type: article metadata_visibility: show creators_name: Mücke, Manfred creators_name: Gansterer, Wilfried N. title: Analysis of Inter-Chip Communication Patterns on Multi-Core Distributed Shared-Memory Computers ispublished: pub subjects: 004 divisions: 720000 cterms_swd: Computerarchitektur abstract: Multi-core multi-socket distributed shared-memory com- puters (DSM computers, for short) have become an impor- tant node architecture in scientific computing as they provide substantial computational capacity with relatively low space and power requirements. Compared to conventional computer networks, inter-chip networks used in DSM computers feature higher bandwidth, lower latency and tighter integration with the CPU. The inter-chip network is a shared resource among the user application and many other services, which can lead to consid- erable variation of execution times of identical communication tasks. In this work, we explore traffic patterns resulting from MPI collective communication primitives and investigate the ques- tion whether inter-chip link load is a reliable indicator and predictor for the execution time of collective communication primitives on a DSM computer. Our experiments on a Sun Fire X4600 M2 DSM computer with 32 cores (eight quad-core CPUs) indicate that specific single link loads are positively correlated with the execution time of MPI ALLREDUCE. Ob- serving patterns over multiple links allows refinement of the single-link observation. abstract_translated_lang: eng date: 2011 date_type: published id_scheme: DOI id_number: 10.11588/heidok.00011585 portal_cluster_id: p-whtra11 portal_order: WHTRA2011 ppn_swb: 1407033808 own_urn: urn:nbn:de:bsz:16-opus-115852 language: eng bibsort: MUCKEMANFRANALYSISOF2011 full_text_status: public citation: Mücke, Manfred ; Gansterer, Wilfried N. (2011) Analysis of Inter-Chip Communication Patterns on Multi-Core Distributed Shared-Memory Computers. document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/11585/1/WHTRA2011_paper01.pdf