Abstract:
A method for computing eigenvectors and eigenvalues of a square matrix in a high performance computer involves dynamically reallocating the computer's computing cores for various phases of the computation process.
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.
Abstract:
A system and method provide a communications link having a plurality of lanes, and an in-band, real-time physical layer protocol that keeps all lanes on-line, while failing lanes are removed, for continuous service during fail over operations. Lane status is monitored real-time at the physical layer receiver, where link error rate, per lane error performance, and other channel metrics are known. If a lane failure is established, a single round trip request/acknowledge protocol exchange with the remote port completes the fail over. If a failing lane meets an acceptable performance level, it remains on-line during the round trip exchange, resulting in uninterrupted link service. Lanes may be brought in or out of service to meet reliability, availability, and power consumption goals.
Abstract:
A high performance computing system includes one or more blade enclosures configured to hold a plurality of computing blades, a connection interface, coupled to the one or more blade enclosures, having one or more connectors and a shared power bus that distributes power to the one or more blade enclosures, and at least one power shelf removably coupled to the one or more connectors and configured to hold one or more power supplies. The system may further include the computing blades and the power supplies. The power shelf may include a power distribution board configured to connect the power supplies together on the shared power bus.
Abstract:
A high performance computing system is provided with an ASIC that communicates with another device in the system according to a protocol defined by the other device. The ASIC is coupled to a reconfigurable protocol table, in the form of a high speed content-addressable memory (“CAM”). The CAM includes instructions to control the execution of the protocol by the ASIC. The CAM may include instructions to control the ASIC in the event that unanticipated signals or other errors are encountered while executing the protocol. Internal ASIC state data may be routed to the CAM to permit the ASIC to generate a reasonable response to errors either in the design or fabrication of the ASIC or the device with which it is communicating.
Abstract:
A server is implemented within disk drive device or other drive device. The server-drive device may be used within a server tray having many disk drive devices, along with multiple other server trays in a cabinet of trays. One or more disk drive devices may be implemented in a server tray. The server-drive device may also be used in other applications. By implementing the server within the disk drive, valuable space is saved in a computing device.
Abstract:
A computer server rack has a platform, configured to support at least one server, with a front end and an opposed back end. The server rack also has a height adjuster coupled to the platform, and a control positioned a first distance from the front end and a second distance from the back end. The first distance is smaller than the second distance, and the control is configured to control the height adjuster to change a height of the back end of the platform.
Abstract:
A method for computing eigenvectors and eigenvalues of a square matrix in a high performance computer involves dynamically reallocating the computer's computing cores for various phases of the computation process.
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:
The present system enables more efficient I/O processing by providing a mechanism for maintaining data within the locality of reference. One or more accelerator modules may be implemented within a solid state storage device (SSD). The accelerator modules form a caching storage tier that can receive, store and reproduce data. The one or more accelerator modules may place data into the SSD or hard disk drives based on parameters associated with the data.