OpenSSI. Основы параллельных вычислений... - Литература. Parallel_rendering_blender_(&resources) Distance_learning. Кластеры высокой готовности. Параллельные вычислительные системы. Параллельные вычислительные системы — это физические компьютерные, а также программные системы, реализующие тем или иным способом параллельную обработку данных на многих вычислительных узлах.[1] Параллелизм[править | править исходный текст] Идея распараллеливания вычислений основана на том, что большинство задач может быть разделено на набор меньших задач, которые могут быть решены одновременно.
Обычно параллельные вычисления требуют координации действий. Параллельные вычисления существуют в нескольких формах: параллелизм на уровне битов, параллелизм на уровне инструкций, параллелизм данных, параллелизм задач. Параллельные вычисления использовались много лет в основном в высокопроизводительных вычислениях, но в последнее время к ним возрос интерес вследствие существования физических ограничений на рост тактовой частоты процессоров.
Параллельные вычисления стали доминирующей парадигмой в архитектуре компьютеров, в основном в форме многоядерных процессоров.[2] ↑ Показывать компактно В. OSCAR Project – Trac. OSCAR allows users, regardless of their experience level with a *nix environment, to install a Beowulf type high performance computing cluster. It also contains everything needed to administer and program this type of HPC cluster. OSCAR's flexible package management system has a rich set of pre-packaged applications and utilities which means you can get up and running without laboriously installing and configuring complex cluster administration and communication packages. It also lets administrators create customized packages for any kind of distributed application or utility, and to distribute those packages from an online package repository, either on or off site.
OSCAR installs on top of a standard installation of a supported Linux distribution. The default OSCAR setup is generally used for scientific computing using a message passing interface (MPI) implementation, several of which are included in the default OSCAR package set. OSCAR on! OSCAR 6.1.1 has been released! (Read more) Disco. International Journal of High Performance Computing and Networking (IJHPCN) - 1 - 1. This site uses some unobtrusive cookies to store information on your computer.
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By using our site you accept the terms of our Privacy Policy. Linux: List of Linux Filesystems, Clustered Filesystems, Performance Compute Clusters and Related Links. Journaling the Linux ext2fs filesystem (postscript: ps.gz) - by Stephen C. Tweedie EXT3 - Stephen Tweedie's journalling version of the ext2 Reiser FS - [Howto] SGI XFS - Note: SGI also released CXFS (Clustered XFS - commercial product.)
IBM JFS: IBM JFS - IBM Linux/JFS site JFS Features - by Jeanne Murray StegFS: Steganographic File System for Linux - encrypt data, hides data such that it cannot be proven to be there. TCFS: Transparent Cryptographic File System project VERITAS: VxFS Legato - Commercial Storage Area Network (SAN) Software/Hardware LinLogFS -- A Log-Structured Filesystem For Linux Clustered Filesystems: Distributed Filesystems: HDFS: Hadoop Distributed File System - distributed, fault tolerant storage for large datasets.
Logical Volume Manager: Linux HPC (High Performance Clusters) ClusteringTools: OSCAR - [sourceforge] - Installation, configuration, management, programming, and using clusters. Scheduling: Open-MPI.org - MPI-2 compliant. IPC Communication Libraries: