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公开(公告)号:US11693593B2
公开(公告)日:2023-07-04
申请号:US17082947
申请日:2020-10-28
Applicant: Micron Technology, Inc.
Inventor: David Andrew Roberts , Sean Stephen Eilert
CPC classification number: G06F3/0659 , G06F3/065 , G06F3/0619 , G06F3/0656 , G06F3/0673 , G06F12/06 , G06F2212/1008
Abstract: Various embodiments enable versioning of data stored on a memory device, where the versioning allows the memory device to maintain different versions of data within a set of physical memory locations (e.g., a row) of the memory device. In particular, some embodiments provide for a memory device or a memory sub-system that uses versioning of stored data to facilitate a rollback operation/behavior, a checkpoint operation/behavior, or both. Additionally, some embodiments provide for a transactional memory device or a transactional memory sub-system that uses versioning of stored data to enable rollback of a memory transaction, commitment of a memory transaction, or handling of a read or write command associated with respect to a memory transaction.
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公开(公告)号:US11481334B2
公开(公告)日:2022-10-25
申请号:US17319002
申请日:2021-05-12
Applicant: Micron Technology, Inc.
Inventor: Ameen D. Akel , Samuel E. Bradshaw , Kenneth Marion Curewitz , Sean Stephen Eilert , Dmitri Yudanov
IPC: G06F12/00 , G06F12/10 , H04L67/1097 , H04W84/04
Abstract: Systems, methods and apparatuses of distributed computing based on Memory as a Service are described. For example, a set of networked computing devices can each be configured to execute an application that accesses memory using a virtual memory address region. Each respective device can map the virtual memory address region to the local memory for a first period of time during which the application is being executed in the respective device, map the virtual memory address region to a local memory of a remote device in the group for a second period of time after starting the application in the respective device and before terminating the application in the respective device, and request the remote device to process data in the virtual memory address region during at least the second period of time.
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公开(公告)号:US20220237039A1
公开(公告)日:2022-07-28
申请号:US17723846
申请日:2022-04-19
Applicant: Micron Technology, Inc.
Inventor: Sean Stephen Eilert , Ameen D. Akel , Samuel E. Bradshaw , Kenneth Marion Curewitz , Dmitri Yudanov
IPC: G06F9/50 , H04L41/0896 , G06F12/02 , G06F13/16 , G06F12/1009 , G06F12/08 , G06F12/1072 , G06F12/1036
Abstract: Systems, methods and apparatuses to throttle network communications for memory as a service are described. For example, a computing device can borrow an amount of random access memory of the lender device over a communication connection between the lender device and the computing device. The computing device can allocate virtual memory to applications running in the computing device, and configure at least a portion of the virtual memory to be hosted on the amount of memory loaned by the lender device to the computing device. The computing device can throttle data communications used by memory regions in accessing the amount of memory over the communication connection according to the criticality levels of the contents stored in the memory regions.
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公开(公告)号:US20210056405A1
公开(公告)日:2021-02-25
申请号:US16545837
申请日:2019-08-20
Applicant: Micron Technology, Inc.
Inventor: Samuel E. Bradshaw , Shivasankar Gunasekaran , Sean Stephen Eilert , Ameen D. Akel , Kenneth Marion Curewitz
Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, inputs for the ANN can be obfuscated for centralized training of a master version of the ANN at a first computing device. A second computing device in the system includes memory that stores a local version of the ANN and user data for inputting into the local version. The second computing device includes a processor that extracts features from the user data and obfuscates the extracted features to generate obfuscated user data. The second device includes a transceiver that transmits the obfuscated user data. The first computing device includes a memory that stores the master version of the ANN, a transceiver that receives obfuscated user data transmitted from the second computing device, and a processor that trains the master version based on the received obfuscated user data using machine learning.
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公开(公告)号:US20210056387A1
公开(公告)日:2021-02-25
申请号:US16545813
申请日:2019-08-20
Applicant: Micron Technology, Inc.
Inventor: Sean Stephen Eilert , Shivasankar Gunasekaran , Ameen D. Akel , Kenneth Marion Curewitz , Hongyu Wang
Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, changes to local versions of the ANN can be combined with a master version of the ANN. In the system, a first device can include memory that can store the master version, a second device can include memory that can store a local version of the ANN, and there can be many devices that store local versions of the ANN. The second device (or any other device of the system hosting a local version) can include a processor that can train the local version, and a transceiver that can transmit changes to the local version generated from the training. The first device can include a transceiver that can receive the changes to a local version, and a processing device that can combine the received changes with the master version.
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公开(公告)号:US20200379919A1
公开(公告)日:2020-12-03
申请号:US16424420
申请日:2019-05-28
Applicant: Micron Technology, Inc.
Inventor: Samuel E. Bradshaw , Ameen D. Akel , Kenneth Marion Curewitz , Sean Stephen Eilert , Dmitri Yudanov
IPC: G06F12/1027 , H04L29/08
Abstract: Systems, methods and apparatuses to accelerate accessing of borrowed memory over network connection are described. For example, a memory management unit (MMU) of a computing device can be configured to be connected both to the random access memory over a memory bus and to a computer network via a communication device. The computing device can borrow an amount of memory from a remote device over a network connection using the communication device; and applications running in the computing device can use virtual memory addresses mapped to the borrowed memory. When a virtual address mapped to the borrowed memory is used, the MMU translates the virtual address into a physical address and instruct the communication device to access the borrowed memory.
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公开(公告)号:US20240403225A1
公开(公告)日:2024-12-05
申请号:US18807682
申请日:2024-08-16
Applicant: Micron Technology, Inc.
Inventor: Samuel E. Bradshaw , Justin M. Eno , Sean Stephen Eilert , Shivasankar Gunasekaran , Hongyu Wang , Shivam Swami
IPC: G06F12/1009 , G06F12/1027
Abstract: A computer system includes physical memory devices of different types that store randomly-accessible data in memory of the computer system. In one approach, access to memory in an address space is maintained by an operating system of the computer system. A virtual page is associated with a first memory type. A page table entry is generated to map a virtual address of the virtual page to a physical address in a first memory device of the first memory type. The page table entry is used by a memory management unit to store the virtual page at the physical address.
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公开(公告)号:US20240370208A1
公开(公告)日:2024-11-07
申请号:US18778842
申请日:2024-07-19
Applicant: Micron Technology, Inc.
Inventor: Kenneth Marion Curewitz , Shivam Swami , Samuel E. Bradshaw , Justin M. Eno , Ameen D. Akel , Sean Stephen Eilert
Abstract: A memory chip having a predefined memory region configured to store program data transmitted from a microchip. The memory chip also having a programmable engine configured to facilitate access to a second memory chip to read data from the second memory chip and write data to the second memory chip according to stored program data in the predefined memory region. The predefined memory region can include a portion configured as a command queue for the programmable engine, and the programmable engine can be configured to facilitate access to the second memory chip according to the command queue.
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公开(公告)号:US20240248852A1
公开(公告)日:2024-07-25
申请号:US18623794
申请日:2024-04-01
Applicant: Micron Technology, Inc.
Inventor: Ameen D. Akel , Samuel E. Bradshaw , Kenneth Marion Curewitz , Sean Stephen Eilert , Dmitri Yudanov
IPC: G06F12/10 , H04L67/1097 , H04W84/04
CPC classification number: G06F12/10 , H04L67/1097 , G06F2212/154 , G06F2212/657 , H04W84/042
Abstract: Systems, methods and apparatuses of distributed computing based on memory as a service are described. For example, a set of networked computing devices can each be configured to execute an application that accesses memory using a virtual memory address region. Each respective device can map the virtual memory address region to the local memory for a first period of time during which the application is being executed in the respective device, map the virtual memory address region to a local memory of a remote device in the group for a second period of time after starting the application in the respective device and before terminating the application in the respective device, and request the remote device to process data in the virtual memory address region during at least the second period of time.
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公开(公告)号:US12019549B2
公开(公告)日:2024-06-25
申请号:US17573938
申请日:2022-01-12
Applicant: Micron Technology, Inc.
Inventor: Kenneth Marion Curewitz , Ameen D. Akel , Samuel E. Bradshaw , Sean Stephen Eilert , Dmitri Yudanov
IPC: G06F12/0837 , G06F9/38 , G06F11/14 , G06F12/1009 , G06F12/1027 , G06N3/02
CPC classification number: G06F12/0837 , G06F9/3877 , G06F11/1448 , G06F12/1009 , G06F12/1027 , G06N3/02
Abstract: Systems, methods and apparatuses to intelligently migrate content involving borrowed memory are described. For example, after the prediction of a time period during which a network connection between computing devices having borrowed memory degrades, the computing devices can make a migration decision for content of a virtual memory address region, based at least in part on a predicted usage of content, a scheduled operation, a predicted operation, a battery level, etc. The migration decision can be made based on a memory usage history, a battery usage history, a location history, etc. using an artificial neural network; and the content migration can be performed by remapping virtual memory regions in the memory maps of the computing devices.
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