Abstract:
Data visualization is provided with the capability to substitute elements for groups of clustered data in a graphical interface. When large numbers of data points are to be displayed in an interface, one or more groupings of data existing close together in coordinate space may be identified within the data. Once the groupings are identified and created, an element representing each grouping may be displayed in the visualization interface along with data points not associated with a grouping. A user may select a grouping to see additional information about the grouping, such as a zoomed-in view of the data points making up the grouping. Similarly, a user may select a portion of the data points that make up a grouping to display the element and zoom out for a broader view of the data.
Abstract:
An adapter retrieves graph data from one or more graph databases and adapts the data to be shown through a visualization tool. The adapter may be used to convert multiple formats of graph data into a format which is readable and useable by the visualization tool. The adapter module may make a connection with a graph database and query the database for particular graph data. Once retrieved, the stream of retrieved graph data may be used to populate a template in Java form. From the template, the visualization tool may provide a visualization of the retrieved data.
Abstract:
A system deploys visualization tools, business analytics software, and big data software in a multi-instance mode on a large, coherent shared memory many-core computing system. The single machine solution provides or high performance and scalability and may be implemented remotely as a large capacity server (i.e., in the cloud) or locally to a user. Most big data software running in a single instance mode has limitations in scalability when running on a many-core and large coherent shared memory system. A configuration and deployment technique using a multi-instance approach, which also includes visualization tools and business analytics software, maximizes system performance and resource utilization, reduces latency and provides scalability as needed, for end-user applications in the cloud.
Abstract:
A system, method, and computer program product are provided for remote rendering of computer graphics. The system includes a graphics application program resident at a remote server. The graphics application is invoked by a user or process located at a client. The invoked graphics application proceeds to issue graphics instructions. The graphics instructions are received by a remote rendering control system. Given that the client and server differ with respect to graphics context and image processing capability, the remote rendering control system modifies the graphics instructions in order to accommodate these differences. The modified graphics instructions are sent to graphics rendering resources, which produce one or more rendered images. Data representing the rendered images is written to one or more frame buffers. The remote rendering control system then reads this image data from the frame buffers. The image data is transmitted to the client for display or processing. In an embodiment of the system, the image data is compressed before being transmitted to the client. In such an embodiment, the steps of rendering, compression, and transmission can be performed asynchronously in a pipelined manner.
Abstract:
A bootloader uses a TCP server to install and verify upgrades on a networked computing device such as a storage enclosure. A data management server client may connect to a bootloader on the storage enclosure using TCP. Once the connection is established, an upgrade image (upgrade data) can be provided directly to the bootloader and installed by the bootloader at the storage enclosure. The TCP server allows for the upgrade to be installed with minimal steps and a simple interface.
Abstract:
The front panel includes intelligence for controlling power, reset and power down functions for a storage enclosure having multiple servers, service processors, and enclosure management devices. The front panel may display information pertaining to system power state, disk activity, Ethernet activity, and other information. The front panel may implement sequencing rules for changes in power state. The front panel provides information for multiple servers and other devices through a single panel.
Abstract:
A high-performance-computer system includes a statistics accumulation apparatus configured to efficiently accumulate system performance data from a variety of system components, and periodically write such data to processor local memory for efficient subsequent software processing of the thus acquired data, thereby reducing the system hardware and software overhead needed for collection of such data as compared to prior art systems.
Abstract:
A primary data storage system is connected with a separate and external active archive storage system to consolidate data and allow active archive data to be managed based on primary storage system events. The primary data storage system may be managed and maintained by an external entity, and may include a manager module such as a resource manager. The active archive system may include several tiers of storage in a hierarchical storage system and logic for moving data between and among the tiers. As data processing milestones are completed or the state of data changes, in projects stored in the primary data storage system, task milestone or state change events are detected. Event detection can trigger data movement in the active archive solution. One or more software modules implementing the present invention may detect the events and trigger active archive operations based on the events.
Abstract:
In an embodiment, a micro ethernet connector includes an outer housing that has a recessed front end and a back end. The micro ethernet connector further includes an inner housing that is disposed within the recessed front end of the outer housing. The inner housing has an exposed end. The exposed end includes a recessed channel. The volume of the recessed channel is substantially equal to the volume of a correspondingly shaped protruding printed circuit board of a male micro ethernet connector. A plurality of spring-biased connectors are disposed within the recessed channel of the inner housing.
Abstract:
An adaptive router anticipates possible future congestion and enables selection of an alternative route before the congestion occurs, thereby avoiding the congestion. The adaptive router may use a primary route until it predicts congestion will occur. The adaptive router measures packet traffic volume, such as flit volume, on a primary network interface to anticipate the congestion. The adaptive router maintains a trailing sum of the number of flits handled by the primary network interface over a trailing time period. If the sum exceeds a threshold value, the adaptive router assumes the route will become congested, and the adaptive router enables considering routing future packets, or at least the current packet, over possible secondary routes.