Arraycomm, Inc.

Super Micro Computer, Inc.

Pts Corporation

Intel Corporation

Altera Corporation

John Chen

Brett Schein

Adityo Prakash

Edward R Ratner

Mitchell D Trott

Prasanna Kannan

Manhtien V Phan

Michael Fleisher

Mau-Lin Chou

Sachin Ahuja

Eniko F Prakash

David L Cook

Jason Chang

Tae-In Hyon

Donald Han

Gavin B Horn

A cable assembly has a cable with a transceiver module on one end. The transceiver module is plugged into an interface connector of a circuit card, which also has a network interface controller chip, an onboard non-volatile memory, and a control unit. The control unit reads cable assembly data stored in a non-volatile memory of the transceiver module over a serial bus and copies the cable assembly data to the onboard non-volatile memory. The control unit initiates transfer of the cable assembly data from the onboard non-volatile memory to a communication port of the network interface controller chip over another serial bus.

Circuit card with onboard non-volatile memory for providing cable assembly data to network interface controller chips

A computer system includes a dual in-line memory module (DIMM), such as a registered DIMM (RDIMM), and a non-volatile DIMM (NVDIMM). A central processing unit (CPU) of the computer system has internal cache memory locations for caching data for the DIMM and NVDIMM. A memory type range register (MTTR) of the CPU is set for write-back cache strategy for a range of memory locations in the DIMM and NVDIMM. The computer system includes a power supply that, in the event of a power failure, triggers a hardware non-maskable interrupt (NMI) and sustains power to the CPU to allow cached data to be saved to non-volatile memory locations in the NVDIMM before the computer system completely powers down.

Memory type range register with write-back cache strategy for NVDIMM memory locations

In one embodiment, the present invention comprises transmitting a broadcast burst in a broadcast channel from a base station of a radio communications system. The invention further comprises receiving a request burst from a user terminal, and transmitting a message burst from the base station to the user terminal from which the request was received. The message burst includes a description of the channels available on the radio communications system for receiving messages from user terminals.

Hopping on random access channels

Methods and apparatuses associated with multi-phase wireless handshaking. A user terminal enters handshaking with an access point. The access point may respond to an access request of the user terminal with an access assignment, and alternatively, with a message indicating an assignment will not be presently given. The handshaking process could then be completed at a later time.

Method and apparatus for multi-phase wireless handshaking

A wireless communication device monitors a radio frequency (RF) resource for a signal from a remote terminal. The wireless communications device detects the absence of the signal in the monitored RF resource. If the signal is not present in the RF resource, the wireless communications device reallocates processing resources reserved to process the signal to process data from another remote terminal.

Efficient usage of hardware processing resources

Embodiment of the present invention can be used to select random access channels to be assigned to user terminals. In one embodiment, the invention includes a base station receiving a signal from a second radio, the received signal containing information about the second radio, and selecting one or more channels to be used by the second radio for random access to the base station using the information about the second radio. Then the base station sends a signal to the second radio, the sent signal containing information about the selected one or more channels.

Selecting random access channels

One embodiment of the invention relates to a method of merging segments to form supersegments in an image. The image consists of a plurality of segments that are constituent portions of the image. At least one candidate segment(s) and at least one neighboring segment(s) for each candidate segment are identified. An error statistic for each pair, consisting of a candidate segment and a corresponding neighboring segment, is computed. A neighboring segment is determined that results in a smallest error statistic for a given candidate segment. A determination is also made as to whether the smallest error statistic is sufficiently small to merit merging of the corresponding pair of segments. The corresponding pair of segments is merged to create one supersegment. The supersegment is a new segment including all pixels formerly contained in one of the two segments that were merged.

Method and apparatus for merging related image segments

One embodiment comprises a method for image processing. The method includes identifying an uncovered region in an image, determining at least one trivalent point, and extrapolating from the trivalent point to extend an edge of at least one of the image segments into the uncovered region. Another embodiment comprises an apparatus for image processing. The apparatus includes a predictor for predicting higher-frequency boundary information in newly uncovered regions. Another embodiment comprises a system for efficiently communicating video information. The system includes an encoder that encodes a video frame into an encoded frame, and a decoder that receives and decodes the encoded frame, wherein the encoder and decoder are both configured to identify uncovered regions and to extend edges from neighboring image segments into the uncovered region.

Predictive edge extension into uncovered regions

An image segmenter uses one or more techniques to accurately segment an image, including the use of a progressive flood fill to fill incompletely bounded segments, the use of a plurality of scaled transformations and guiding segmentation at one scale with segmentation results from another scale, detecting edges using a composite image that is a composite of multiple color planes, generating edge chains using multiple classes of edge pixels, generating edge chains using the plurality of scaled transformations, and/or filtering spurious edges at one scale based on edges detected at another scale.

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San Jose, CA, United States of America

John Chen