rdma

RDMA. By leveraging YARN's recently introduced node tagging feature (YARN-796), we can declare in jobs that the container is loaded on either the CPU or the GPU node. A container on a GPU node can use InfiniBand to exchange data at a very high speed. Distributed Depth Learning: Caffe-on-spark To support deep learning on these enhanced Hadoop clusters, we developed a complete set of distributed computing tools based on open source software libraries,

device, we use read and write to perform asynchronous IO Null does not transmit any data, just disguised as such. It is mainly used for training the use of FIO, or for basic debug/test purposes. NET transmits data over the network based on a given host:port. Depending on the specific protocol, hostname,port,listen,filename these options will be used to indicate which connection is established, and the Protocol option will determine which protocol is being used. Netsplice like NET, but uses Spli

memory database for online transaction processing (OLTP) and Data Warehouse (DW). The Windows server blog recently released performance results for virtual machines with 5.5 TB of memory and 128 virtual processors running a 4 TB memory database. Performance exceeds 95% of the physical server's performance.Nested Virtualization (New)This feature enables you to use a virtual machine as a Hyper-V host and create a virtual machine in that virtual host. This can be particularly useful for developing

Senior staff Engineer/architect of Sigma-usa, Hangzhou, Beijing Job Description: To is more specific (you is more than welcome if you is interested in one or more challenges described below): 1. Enable Sigma to response + quickly to resource requests from more than dozens of business units and even more busine SS scenarios with proper resource allocation and constraints compliance. Design a more generic architecture to enable Sigma coping with the ever-growing scale in terms of both business sce

k74ntpd S01sysstat s15mdmonitor s50bluetoothk10psacct k75ntpdate s02lvm2-monitor S22messagebus S55SSHDK10SASLAUTHD k75quota_nld S05RDMA S23networkmanager S80postfixk15htcacheclean K76yp Bind s08ip6tables s24nfslock s82abrtdk15httpd k84wpa_supplicant s08iptables S24RPCG SSD s83abrt-ccppk30spice-vdagentd k87restorecond s10network s25blk-availability s90crondk50dnsmasq K88SSSD s11auditd s25cups s95atdk50kdump k89netconsole s11portreserve S25netfs s99certmongerk60nfs k89rdisc s12r

, and so on. Support for the Filesystemprovider implementation of Zip/jarNIO2 provides a new service provider Java.nio.file.spi.FileSystemProvider to implement a file system, and provides a Zip/jar file system example in the demo.SCTP (Stream Control transmission Protocol)Implementation of the SCTP protocol, the flow control transport protocol, is regulated by RFC 2960. It is a reliable transport protocol similar to TCP. SCTP provides a stable, ordered data delivery service between two endp

several brick RDMA: Remote Direct memory access that supports direct memory access not through the two OS. Rrdns:round Robin DNS is a way to return different devices through DNS rotation for load balancing self-heal: Used for background running to detect inconsistencies in files and directories in the replica volume and to resolve these inconsistencies. Split-brain: A profile of the Translator:Volfile:glusterfs process, usually located in/var/lib/glu

recommend this qperf, which is the Rhel 6 release, it comes with, so it is very convenient to use, as long as simple: Yum Install Qperf Just fine.Let's look at the introduction of man Qperf: Qperf measures bandwidth and latency between, nodes. It can work over TCP/IP as well as the RDMA transports. On one of the nodes, Qperf are typically run with no arguments designating it the server node. One may then run Qperf on a client n

Original address: http://support.huawei.com/ecommunity/bbs/10253434.html1. Glusterfs OverviewGlusterfs is the core of the Scale-out storage solution Gluster, an open source Distributed file system with strong scale-out capability to support petabytes of storage capacity and handle thousands of of clients through scaling. The Glusterfs aggregates the physically distributed storage resources with TCP/IP or InfiniBand RDMA networks, using a single global

650) this.width=650; "src="/e/u261/themes/default/images/spacer.gif "style=" Background:url ("/e/u261/lang/zh-cn/ Images/localimage.png ") no-repeat center;border:1px solid #ddd;" alt= "Spacer.gif"/>Installation:Yum Install-y Glusterfs{,-server,-fuse,-geo-replication}If you do not use master-slave replication, you can not install Glusterfs-geo-replicationOperation:Gluster Peer CommandGluster Peer StatusGluster peer Probe server//Add machineGluster Peer Detach server//kick-out machineGluster volu

Glusterfsis a clustered file system that can be scaled to several petabytes of magnitude. It can converge several different types of storage blocks into a large parallel network file system via InfiniBand RDMA or TCP/IP.One, volume managementThe transport protocol for the data supports the TCP and InfiniBand RDMA protocols.1, three types of volumes:(1) Distributed volumeA distributed volume can store a file

Hari subramoni, Gregory Marsh, sundeep narravula, Ping Lai, and dhabaleswar K. PandaDepartment of Computer Science and Engineering, the Ohio State University InfiniBand is a new network transmission technology in recent years. It features high bandwidth and low latency. A unified interconnection structure is formed through a persistent cable connection mode, which can process storage I/O, network I/O, and inter-process communication (IPC ). It can eliminate the bottlenecks that currentl

HBase is typically installed on Hadoop HDFs, but it can also be installed on other distributed file systems that implement the Hadoop file interface. such as KFS.Glusterfs is a clustered file system that can be extended to several peta-bytes.It is a collection of various storage in InfiniBand RDMA or interconnect into a large parallel network file system. Storage can be made up of hardware x86_64server and Sata-ii and InfiniBand HBAs, regardless of co

23571 Apr 5 10:08 Install.log-rw-r--r--. 1 root root 6240 Apr 5 10:04 Install.log.syslogExample 3: All directories under the root directory with long columns[Email protected] ~]# Ls-laDr-xr-x---. 5 root root 4096 Apr 6 13:34.Dr-xr-xr-x. Root root 4096 Apr 6 13:23.Drwxr-xr-x. 2 root root 4096 Apr 5 15:16 AAA-RW-------. 1 root root 1096 Apr 5 10:08 anaconda-ks.cfg-RW-------. 1 root root 1339 Apr 6 13:30. bash_history-rw-r--r--. 1 root root. bash_logout-rw-r--r--. 1 root root 176 May. bash_profile

,tensorflow in medicine-retinal Imaging: Medical retinal images are classified using the TensorFlow machine learning platform to assist in medical diagnosis. TensorFlow System Architecture TensorFlow as a distributed machine learning platform, the main architecture is shown in the following figure. RPC and RDMA are network layer, which is mainly responsible for transferring neural network algorithm parameters. CPU and GPU are the device layer, which i

applications. --gpudirect support RDMA (Remote Direct Memory Access): Eliminates system memory bottlenecksGpudirect Technology establishes the direct communication between the GPU and other pci-e devices, supports the RDMA between the NIC and the GPU, and can greatly reduce the mpisendrecv latency between the GPU nodes in the cluster and improve the overall application performance. --nvidia nsight Eclipse

Multi-Channel SMB RDMA Direct Connection method Performance counters for server applications Performance optimization smb-Dedicated Windows PowerShell cmdlet SMB encryption SMB Directory Lease There are a number of features that are very distinctive, such as transparent failover and landscape scaling, multiple channels, and so on, which is almost a highly available, Scale-out storage cluster with Windows Server 2012 software Definition Storage

the CPU in a cabinet and the TPU2 chip are associated, allowing the TPU2 chip to effectively share data through the connections in the grid. We are almost certain that TRC cannot handle a single task across a cabinet (256 TPU2 chips). The first generation of TPU is a simple coprocessor, so the CPU is responsible for handling all data traffic. In this architecture, the CPU accesses Remote Storage data through the data center network. Google does not have a memory model that describes the cabinet

6.6 will support out-of-the-box RHEL 6.6 Beta, which will provide better interoperability and Microsoft activity directories. Fully supports Server Load balancer technology Haproxy and keepalived. This gives great confidence to users who deploy HAProxy and keepalived in critical task environments. RHEL 6.6 Beta inherits some of the first features introduced in RHEL 7 released in June, the most prominent of which is Performance Co-Pilot (PCP ). PCP is a set of tools for obtaining, storing, and a

Release date:Updated on: Affected Systems:Debian Linux 5.0 xLinux kernel 2.6.xUbuntu Linux 10.04Description:--------------------------------------------------------------------------------Bugtraq id: 46073Cve id: CVE-2010-4649 Linux Kernel is the Kernel used by open source Linux. In Linux Kernel's "ib_uverbs_poll_cq ()" implementation, an integer overflow vulnerability exists. Attackers can exploit this vulnerability to execute arbitrary code with higher privileges, cause the affected Kernel