SquidNet Software’s Network Distribution Processor (SquidNet-NDP) allows just about any distributed processing application (Maya, 3D Studio Max, Blender, Lightwave, etc…) with a command-line based interface to evenly distribute job “slices”, segments or frames amongst one or more network processors. All these network processors (which are called Tipnodes) can pull and process amazing job requests from a specific centralized virtual queue. The virtual queue contains jobs requests that are submitted from network users via the SquidNet Management Console (SMC). Supported Applications: Autodesk: Maya Software, MentalRay for Maya, Maya Vector, Maya Hardware, RenderMan for Maya, Final Render for Maya, V-Ray for Maya, 3dsMax, Combustion. Adobe: After Effects RealFlow Mesher Blender MentalRay Digital Fusion Houdini Lightwave Maxwell Shake Cinema 4D XSI
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The basic idea of the application is to schedule, pull and distribute jobs among many network servers in order to achieve maximum efficiency. The application is designed to take advantage of all the benefits of the commonly available distributed processing systems, such as Google’s MapReduce, Hadoop, and AppEngine. The primary concept behind all distributed processing frameworks is the task partitioning. This process often depends on the inherent work distribution characteristics of the system. References Category:Distributed computing architectureQ: How to join 2 tables based on column name? I have 2 tables with many columns in both. I have to do 3 joins, but want to put the 3 joins in the same query. The issue is that I want to join based on an integer value, but the column names are different. Table 1 Table 2 id | A | B | C | D | E | F | G ———————- 1 | | | | | | | 2 | | | | | | | Table 1 Table 2 id | A | B | C | D | E | F | G ———————- 1 | | | | | | | 2 | | | | | | | Desired Result id | A
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SquidNet-NDP is the most flexible, robust, efficient and user friendly Network Distribution Processor out there. SquidNet-NDP is comprised of multiple NICs, network processors and Cisco IOS devices, to make any distributed processing application available across multiple systems: Intel Xeon servers, Apple Dual Core Powerbooks, Cubieboards, iMAC and ATOM processors. The application is the Network Distribution Processor is networked together, and requires no configuration or maintenance. The benefits of the SquidNet-NDP are that all the hardware is hidden in the SMC, making it a very robust distributed processing solution. The system will take care of configuration, maintenance, upgrades, and troubleshooting. The applications on the IOS (Internet On-Servers) are running only the required SquidNet-NDP specific software, or on a generalized wrapper, to ensure a uniform distributed processing environment across all networks. Power consumption is minimal. Each IOS is only consuming about 5-7W of power. Supported Operating Systems: Apple/Intel – Linux/UNIX Microsoft – Windows Supported Physical Network Topologies: Any IOS to IOS or IOS to Workstation Any Workstation to Workstation Any Workstation to IOS Any IOS to a Workstation over IP Supported Virtual Network Topologies: Any IOS to IOS over IP Any IOS to Workstation over IP Any Workstation to Workstation over IP Any IOS to Workstation over IP Any Workstation to Workstation over IP Any IOS to Workstation via Ethernet SMC Network Distribution Processor You will use the SMC to access the application on a server (as well as submitting jobs from other systems), and the SMC will calculate the tipnodes (network processors) with the appropriate firmware files for your distributed processing applications. There are two versions of the SMC: a C-NIPS based SMC that will work with any other C-NIPS based application, and a standard based SMC that will work with other applications. SquidNet-NDP software runs on the Sparc/Sun Fire, Intel Xeon and Dual Core systems such as the popular Apple Power Mac G4, with adequate peripherals available. On the Power Mac, most peripherals are multiplexed, and a server will only have access to a single serial or parallel port or Ethernet port on the computer. While we realize it would be hard for 3a67dffeec
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Compact and Highly Scalable SquidNet-NDP is a compact hardware-friendly solution for high capacity network distribution across multiple network nodes. It consists of a multi-core Intel® Xeon® processor with dual Gigabit Ethernet interfaces, a Power over Ethernet (PoE) based connection, and an SD/eSATA/USB interface for installation and expansion. The device is also equipped with various standard interfaces to integrate into existing automated workflows. Superior Economy of Scale Superior economies of scale will enable using single network distribution processors (NDPs) over very large distributed processing systems with tens of thousands of nodes. Job Queue Based SquidNet-NDP allows to create a truly scalable work queue for a distributed processing system. Job Submission You can submit jobs to a specific virtual queue, e.g. “my-queue” with a specific job count. Job User Interface SquidNet-NDP exposes its API for job submissions via the SquidNet Management Console (SMC) which is included in the free version (plug-in free). By using the SMC and the web application features SquidNet-NDP users can submit their jobs to a virtual queue. Job Progress Monitor Job progress can be monitored on a web-based, cloud-based, or locally running (via the SMC) server via the SMC web application. Job Checkpointing Job checkpoints can be made via a checkpoint run page. The time in between checks and the number of checkpoints can be adjusted to fit the users’ workflows. Job Auto Submit If the execution time of a job request is detected by the network processor (indicating that the job did not run for too long) SquidNet-NDP will auto submit the job request to another network processor. Job Re Submit To avoid load balancing issues or to improve the execution of a job request with errors SquidNet-NDP can re-submit the job. Job No Queue SquidNet-NDP allows to create a specific job queue even though you have only one available network processor. A job will be submitted to the specific queue. Network Distributor (ND) is a device that distributes work among multiple parallel processing jobs. It runs on a standard PC hardware platform. Each ND has its own network port and up to 80 jobs can be run simultaneously on a single network port. Network Distributor (ND) provides both on-device and off-
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SquidNet-NDP for Maya Software is a network distribution processor, which transfers multiple tasks (frames) from any Maya command-line based application to one or more network processors. A frame may also be called a slice. Each individual frame transfers through an individual Tipnode may be called a leaf node. They are also called leafs or leaves in this document. Distributed jobs are distributed to a Tipnode on the client side when a user submits the job. The first job to be processed is the first to be sent to the Tipnode that receives a request. The frame is first sent to the Tipnode that is the local host and only if that Tipnode cannot handle it, it is then passed to a Tipnode in the network. In the network, the Tipnode first processes the job locally and then sends it to another Tipnode that is the next hop for the job. This continues until the job is done. The system provides an interface for all of the Tipnodes and the SMC (SquidNet Management Console). Through the interface all of the Tipnodes and the SMC can monitor the status of the system. The scheduling is done in the SMC. The job requests submitted to the SMC are managed into a queue. The SMC has two interfaces. One for local users (those running a local version of Maya or the standard Maya for Windows and the SMC on their system and the other for all the other users running on a network that are not registered with the SMC. A local user at Maya can run the command line based program application. The application creates a job request. The job request is generated based on the parameters (Slice, Frame, Bitmap, Source etc.) that are passed to it. The job request generates a command line that is provided to the SMC. The SMC submits job requests to the job queue for every user that submits a job request to the queue. The job queues for local users are on their system. When there is a job request in the job queue for the local user, the SMC checks if that job request is assigned to a particular Tipnode. If the job request is not assigned, the job request is put in a pending job queue. If the job request is assigned to a Tipnode, the SMC checks if the Tipnode is free to process the job request. If the Tipnode is free to process the job request, the job request is sent to the Tipnode.
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