METHODS AND APPARATUS FOR DYNAMICALLY ADJUSTING PERFORMANCE OF PARTITIONED MEMORY

    公开(公告)号:US20210098047A1

    公开(公告)日:2021-04-01

    申请号:US17121466

    申请日:2020-12-14

    Abstract: Methods and apparatus for dynamically adjusting performance of partitioned memory. In one embodiment, the method includes receiving one or more configuration requests for the memory device, determining whether to grant the one or more configuration requests for the memory device, in response to the determining, implementing the one or more configuration requests within the memory device and operating the memory device in accordance with the implementing. The adjusting of the performance for the partitioned memory includes one or more of enabling/disabling refresh operations, altering a refresh rate for the partitioned memory, enabling/disabling error correcting code (ECC) circuity for the partitioned memory, and/or altering a memory cell architecture for the partitioned memory. Systems and applications that may benefit from the dynamic adjustment of performance are also disclosed.

    METHODS AND APPARATUS FOR CHARACTERIZING MEMORY DEVICES

    公开(公告)号:US20200264688A1

    公开(公告)日:2020-08-20

    申请号:US16276461

    申请日:2019-02-14

    Abstract: Methods and apparatus for using characterized devices such as memories. In one embodiment, characterized memories are associated with a range of performances over a range of operational parameters. The characterized memories can be used in conjunction with a solution density function to optimize memory searching. In one exemplary embodiment, a cryptocurrency miner can utilize characterized memories to generate memory hard proof-of-work (POW). The results may be further validated against general compute memories; such that only valid solutions are broadcasted to the mining community. In one embodiment, the validation mechanism is implemented for a plurality of searching apparatus in parallel to provide a more distributed and efficient approach. Various other applications for characterized memories are also described in greater detail herein (e.g., blockchain, social media, machine learning, probabilistic applications and other error-tolerant applications).

    Magnetic Tunnel Junctions
    67.
    发明申请

    公开(公告)号:US20190305211A1

    公开(公告)日:2019-10-03

    申请号:US16434634

    申请日:2019-06-07

    Abstract: A magnetic tunnel junction comprises a conductive first magnetic electrode comprising magnetic recording material, a conductive second magnetic electrode spaced from the first electrode and comprising magnetic reference material, and a non-magnetic tunnel insulator material between the first and second electrodes. The magnetic reference material of the second electrode comprises a synthetic antiferromagnetic construction comprising two spaced magnetic regions one of which is closer to the tunnel insulator material than is the other. The one magnetic region comprises a polarizer region comprising CoxFeyBz where “x” is from 0 to 90, “y” is from 10 to 90, and “z” is from 10 to 50. The CoxFeyBz is directly against the tunnel insulator. A non-magnetic region comprising an Os-containing material is between the two spaced magnetic regions. The other magnetic region comprises a magnetic Co-containing material. Other embodiments are disclosed.

    Magnetic Tunnel Junctions
    68.
    发明申请
    Magnetic Tunnel Junctions 有权
    磁隧道结

    公开(公告)号:US20160329486A1

    公开(公告)日:2016-11-10

    申请号:US14706182

    申请日:2015-05-07

    CPC classification number: H01L43/08

    Abstract: A magnetic tunnel junction has a conductive first magnetic electrode comprising magnetic recording material. A conductive second magnetic electrode is spaced from the first electrode and comprises magnetic reference material. A non-magnetic tunnel insulator material is between the first and second electrodes. The magnetic recording material of the first electrode comprises a first magnetic region, a second magnetic region spaced from the first magnetic region, and a third magnetic region spaced from the first and second magnetic regions. A first non-magnetic insulator metal oxide-comprising region is between the first and second magnetic regions. A second non-magnetic insulator metal oxide-comprising region is between the second and third magnetic regions. Other embodiments are disclosed.

    Abstract translation: 磁性隧道结具有包括磁记录材料的导电第一磁极。 导电的第二磁电极与第一电极间隔开并且包括磁性参考材料。 非磁性隧道绝缘体材料位于第一和第二电极之间。 第一电极的磁记录材料包括第一磁性区域,与第一磁性区域间隔开的第二磁性区域和与第一和第二磁性区域间隔开的第三磁性区域。 第一非磁性绝缘体金属氧化物包含区域在第一和第二磁性区域之间。 第二非磁性绝缘体金属氧化物包含区域在第二和第三磁性区域之间。 公开了其他实施例。

    Distributed Ledger Appliance and Methods of USE

    公开(公告)号:US20250150276A1

    公开(公告)日:2025-05-08

    申请号:US19016412

    申请日:2025-01-10

    Abstract: Computerized apparatus using characterized devices such as memories for intensive computational applications such as blockchain processing. In one embodiment, the computerized apparatus comprises a computational appliance (e.g., stand-alone box, server blade, plug-in card, or mobile device) that includes characterized memory devices. These memory devices are associated with a range of performances over a range of operational parameters, and can be used in conjunction with a solution density function to optimize memory searching. In one embodiment, the ledger appliance can communicate with other ledger appliances to create and/or use a blockchain ledger so as to facilitate decentralized exchanges between untrusted parties. In some variants, the ledger appliance may additionally use an application programming interface (API) to dynamically generate blockchains on the fly. Various other applications are also described (e.g., social media, machine learning, probabilistic applications and other error-tolerant applications).

    METHODS AND APPARATUS FOR CHARACTERIZING MEMORY DEVICES

    公开(公告)号:US20250085767A1

    公开(公告)日:2025-03-13

    申请号:US18957430

    申请日:2024-11-22

    Abstract: Methods and apparatus for using characterized devices such as memories. In one embodiment, characterized memories are associated with a range of performances over a range of operational parameters. The characterized memories can be used in conjunction with a solution density function to optimize memory searching. In one exemplary embodiment, a cryptocurrency miner can utilize characterized memories to generate memory hard proof-of-work (POW). The results may be further validated against general compute memories; such that only valid solutions are broadcasted to the mining community. In one embodiment, the validation mechanism is implemented for a plurality of searching apparatus in parallel to provide a more distributed and efficient approach. Various other applications for characterized memories are also described in greater detail herein (e.g., blockchain, social media, machine learning, probabilistic applications and other error-tolerant applications).

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