公开(公告)号：US20180212842A1

公开(公告)日：2018-07-26

申请号：US15926866

申请日：2018-03-20

Applicant: Intel Corporation

Inventor： Mrittika Ganguli ,  Muthuvel M. I ,  Ananth S. Narayan ,  Jaideep Moses ,  Andrew J. Herdrich ,  Rahul Khanna

IPC: H04L12/24

CPC classification number: H04L41/50 ,  H04L41/145 ,  H04L41/5009 ,  H04L41/5025

Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.

公开(公告)号：US20180150334A1

公开(公告)日：2018-05-31

申请号：US15719770

申请日：2017-09-29

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Evan Custodio ,  Susanne M. Balle ,  Joe Grecco ,  Henry MItchel ,  Rahul Khanna ,  Slawomir Putyrski ,  Sujoy Sen ,  Paul Dormitzer

IPC: G06F9/50 ,  G06F9/455

CPC classification number: G06F3/0641 ,  G06F3/0604 ,  G06F3/0608 ,  G06F3/0611 ,  G06F3/0613 ,  G06F3/0617 ,  G06F3/0647 ,  G06F3/065 ,  G06F3/0653 ,  G06F3/067 ,  G06F7/06 ,  G06F8/65 ,  G06F8/654 ,  G06F8/656 ,  G06F8/658 ,  G06F9/3851 ,  G06F9/3891 ,  G06F9/4401 ,  G06F9/4881 ,  G06F9/5038 ,  G06F9/505 ,  G06F9/544 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/079 ,  G06F11/1453 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3055 ,  G06F11/3409 ,  G06F12/023 ,  G06F12/0284 ,  G06F12/0692 ,  G06F13/1652 ,  G06F15/80 ,  G06F16/1744 ,  G06F21/57 ,  G06F21/6218 ,  G06F21/73 ,  G06F21/76 ,  G06F2212/401 ,  G06F2212/402 ,  G06F2221/2107 ,  G06T1/20 ,  G06T1/60 ,  G06T9/005 ,  H01R13/4538 ,  H01R13/631 ,  H03K19/1731 ,  H03M7/3084 ,  H03M7/40 ,  H03M7/42 ,  H03M7/60 ,  H03M7/6011 ,  H03M7/6017 ,  H03M7/6029 ,  H04L9/0822 ,  H04L12/2881 ,  H04L12/4633 ,  H04L41/044 ,  H04L41/046 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/0896 ,  H04L41/12 ,  H04L41/142 ,  H04L43/04 ,  H04L43/06 ,  H04L43/08 ,  H04L43/0894 ,  H04L47/20 ,  H04L47/2441 ,  H04L47/78 ,  H04L49/104 ,  H04L61/2007 ,  H04L63/1425 ,  H04L67/10 ,  H04L67/1014 ,  H04L67/327 ,  H04L67/36 ,  H05K7/1452 ,  H05K7/1487

Abstract: Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed

公开(公告)号：US20180150298A1

公开(公告)日：2018-05-31

申请号：US15721821

申请日：2017-09-30

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Francesc Guim Bernat ,  Slawomir Putyrski ,  Joe Grecco ,  Henry MItchel ,  Rahul Khanna ,  Evan Custodio

IPC: G06F9/38 ,  H04L29/08 ,  G06F9/48 ,  G06F9/50

CPC classification number: G06F3/0641 ,  G06F3/0604 ,  G06F3/0608 ,  G06F3/0611 ,  G06F3/0613 ,  G06F3/0617 ,  G06F3/0647 ,  G06F3/065 ,  G06F3/0653 ,  G06F3/067 ,  G06F7/06 ,  G06F8/65 ,  G06F8/654 ,  G06F8/656 ,  G06F8/658 ,  G06F9/3851 ,  G06F9/3891 ,  G06F9/4401 ,  G06F9/4881 ,  G06F9/5038 ,  G06F9/505 ,  G06F9/544 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/079 ,  G06F11/1453 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3055 ,  G06F11/3409 ,  G06F12/023 ,  G06F12/0284 ,  G06F12/0692 ,  G06F13/1652 ,  G06F15/80 ,  G06F16/1744 ,  G06F21/57 ,  G06F21/6218 ,  G06F21/73 ,  G06F21/76 ,  G06F2212/401 ,  G06F2212/402 ,  G06F2221/2107 ,  G06T1/20 ,  G06T1/60 ,  G06T9/005 ,  H01R13/4538 ,  H01R13/631 ,  H03K19/1731 ,  H03M7/3084 ,  H03M7/40 ,  H03M7/42 ,  H03M7/60 ,  H03M7/6011 ,  H03M7/6017 ,  H03M7/6029 ,  H04L9/0822 ,  H04L12/2881 ,  H04L12/4633 ,  H04L41/044 ,  H04L41/046 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/0896 ,  H04L41/12 ,  H04L41/142 ,  H04L43/04 ,  H04L43/06 ,  H04L43/08 ,  H04L43/0894 ,  H04L47/20 ,  H04L47/2441 ,  H04L47/78 ,  H04L49/104 ,  H04L61/2007 ,  H04L63/1425 ,  H04L67/10 ,  H04L67/1014 ,  H04L67/327 ,  H04L67/36 ,  H05K7/1452 ,  H05K7/1487

Abstract: Technologies for offloading acceleration task scheduling operations to accelerator sleds include a compute device to receive a request from a compute sled to accelerate the execution of a job, which includes a set of tasks. The compute device is also to analyze the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks. Additionally the compute device is to send an availability request, including the metadata, to one or more micro-orchestrators of one or more accelerator sleds communicatively coupled to the compute device. The compute device is further to receive availability data from the one or more micro-orchestrators, indicative of which of the tasks the micro-orchestrator has accepted for acceleration on the associated accelerator sled. Additionally, the compute device is to assign the tasks to the one or more micro-orchestrators as a function of the availability data.

公开(公告)号：US09952941B2

公开(公告)日：2018-04-24

申请号：US14916768

申请日：2013-12-19

Applicant: INTEL CORPORATION

Inventor： Kshitij A. Doshi ,  Rahul Khanna ,  Minh Tung Duy Le ,  Paul H. Dormitzer

IPC: G06F11/14 ,  G06F11/20

CPC classification number: G06F11/1471 ,  G06F11/2033 ,  G06F11/2035 ,  G06F11/2043 ,  G06F2201/805 ,  G06F2201/85

Abstract: Technologies for virtual multipath access include a computing device configured to sequester a recovery partition from a host partition while allowing the recovery partition to access one or more resources of the host partition such as host memory or data storage. A remote computing device determines whether the host partition is responsive. The recovery partition receives a request for host state data of the host partition from the remote computing device in response to a determination that the host partition is not responsive. The recovery partition retrieves the requested host state data using a host state index maintained by the host partition and transmits the requested host state data to the remote computing device. The host state index may identify the location of the requested host state data. The remote computing device may perform a recovery operation based on the received host state data. Other embodiments are described and claimed.

公开(公告)号：US20170160338A1

公开(公告)日：2017-06-08

申请号：US14961824

申请日：2015-12-07

Applicant: Intel Corporation

Inventor： Christopher F. Connor ,  Bruce Querbach ,  Gordon McFadden ,  Hanmant P. Belgal ,  Rahul Khanna

IPC: G01R31/28 ,  G11C29/00 ,  G11C7/00

CPC classification number: G01R31/2894 ,  G11C5/04 ,  G11C7/00 ,  G11C16/3495 ,  G11C29/025 ,  G11C29/16 ,  G11C29/40 ,  G11C29/50016 ,  G11C2029/5004

Abstract: In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that include a reliability physics module stored in non-volatile memory and compute logic to calculate at least one of an estimated amount of lifetime consumed or an estimated amount of lifetime remaining after a period of operation of an integrated circuit. In embodiments, the calculation may be based at least in part on the reliability physics model and data of at least one physical condition of the integrated circuit sensed during or at the end of the period of operation. Other embodiments may be described and/or claimed.

公开(公告)号：US08751864B2

公开(公告)日：2014-06-10

申请号：US13848830

申请日：2013-03-22

Applicant: Intel Corporation

Inventor： Robert C. Swanson ,  Mahesh S. Natu ,  Rahul Khanna ,  Murugasamy K. Nachimuthu ,  Sarathy Jayakumar ,  Anil S. Keshavamurthy ,  Narayan Ranganathan

IPC: G06F11/00

CPC classification number: G06F11/203 ,  G06F11/1666 ,  G06F11/20

Abstract: In one embodiment, the present invention provides an ability to handle an error occurring during a memory migration operation in a high availability system. In addition, a method can be used to dynamically remap a memory page stored in a non-mirrored memory region of memory to a mirrored memory region. This dynamic remapping may be responsive to a determination that the memory page has been accessed more than a threshold number of times, indicating a criticality of information on the page. Other embodiments are described and claimed.

Abstract translation: 在一个实施例中，本发明提供了处理在高可用性系统中的存储器迁移操作期间发生的错误的能力。 此外，可以使用一种方法来将存储在存储器的非镜像存储器区域中的存储器页面动态重映射到镜像存储器区域。 该动态重新映射可以响应于确定存储器页已经被访问多于阈值次数，指示页面上的信息的关键性。 描述和要求保护其他实施例。

公开(公告)号：US11695668B2

公开(公告)日：2023-07-04

申请号：US17086206

申请日：2020-10-30

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Rahul Khanna ,  Nishi Ahuja ,  Mrittika Ganguli

IPC: H04L43/08 ,  G06F16/901 ,  G06F1/18 ,  G06F1/20 ,  H04B10/25 ,  G02B6/38 ,  G02B6/42 ,  G02B6/44 ,  G06F3/06 ,  G06F8/65 ,  G06F9/30 ,  G06F9/4401 ,  G06F9/54 ,  G06F12/109 ,  G06F12/14 ,  G06F13/16 ,  G06F13/40 ,  G08C17/02 ,  G11C5/02 ,  G11C7/10 ,  G11C11/56 ,  G11C14/00 ,  H03M7/30 ,  H03M7/40 ,  H04L41/14 ,  H04L43/0817 ,  H04L43/0876 ,  H04L43/0894 ,  H04L49/00 ,  H04L49/25 ,  H04L49/356 ,  H04L49/45 ,  H04L67/02 ,  H04L67/306 ,  H04L69/04 ,  H04L69/329 ,  H04Q11/00 ,  H05K7/14 ,  G06F15/16 ,  G06F9/38 ,  G06F9/50 ,  H04L41/12 ,  H04L41/5019 ,  H04L43/16 ,  H04L47/24 ,  H04L47/38 ,  H04L67/1004 ,  H04L67/1034 ,  H04L67/1097 ,  H04L67/12 ,  H05K5/02 ,  H04W4/80 ,  G06Q10/087 ,  G06Q10/20 ,  G06Q50/04 ,  H04L43/065 ,  H04L61/00 ,  H04L67/51 ,  H04L41/147 ,  H04L67/1008 ,  H04L41/0813 ,  H04L67/1029 ,  H04L41/0896 ,  H04L47/70 ,  H04L47/78 ,  H04L41/082 ,  H04L67/00 ,  H04L67/1012 ,  B25J15/00 ,  B65G1/04 ,  H05K7/20 ,  H04L49/55 ,  H04L67/10 ,  H04W4/02 ,  H04L45/02 ,  G06F13/42 ,  H05K1/18 ,  G05D23/19 ,  G05D23/20 ,  H04L47/80 ,  H05K1/02 ,  H04L45/52 ,  H04Q1/04 ,  G06F12/0893 ,  H05K13/04 ,  G11C5/06 ,  G06F11/14 ,  G06F11/34 ,  G06F12/0862 ,  G06F15/80 ,  H04L47/765 ,  H04L67/1014 ,  G06F12/10 ,  G06Q10/06 ,  G06Q10/0631 ,  G07C5/00 ,  H04L12/28 ,  H04L41/02 ,  H04L9/06 ,  H04L9/14 ,  H04L9/32 ,  H04L41/046 ,  H04L49/15

CPC classification number: H04L43/08 ,  G02B6/3882 ,  G02B6/3893 ,  G02B6/3897 ,  G02B6/4292 ,  G02B6/4452 ,  G06F1/183 ,  G06F1/20 ,  G06F3/064 ,  G06F3/0613 ,  G06F3/0625 ,  G06F3/0653 ,  G06F3/0655 ,  G06F3/0664 ,  G06F3/0665 ,  G06F3/0673 ,  G06F3/0679 ,  G06F3/0683 ,  G06F3/0688 ,  G06F3/0689 ,  G06F8/65 ,  G06F9/30036 ,  G06F9/4401 ,  G06F9/544 ,  G06F12/109 ,  G06F12/1408 ,  G06F13/1668 ,  G06F13/409 ,  G06F13/4022 ,  G06F13/4068 ,  G06F15/161 ,  G06F16/9014 ,  G08C17/02 ,  G11C5/02 ,  G11C7/1072 ,  G11C11/56 ,  G11C14/0009 ,  H03M7/3086 ,  H03M7/4056 ,  H03M7/4081 ,  H04B10/25891 ,  H04L41/145 ,  H04L43/0817 ,  H04L43/0876 ,  H04L43/0894 ,  H04L49/00 ,  H04L49/25 ,  H04L49/357 ,  H04L49/45 ,  H04L67/02 ,  H04L67/306 ,  H04L69/04 ,  H04L69/329 ,  H04Q11/0003 ,  H05K7/1442 ,  B25J15/0014 ,  B65G1/0492 ,  G05D23/1921 ,  G05D23/2039 ,  G06F3/061 ,  G06F3/067 ,  G06F3/0611 ,  G06F3/0616 ,  G06F3/0619 ,  G06F3/0631 ,  G06F3/0638 ,  G06F3/0647 ,  G06F3/0658 ,  G06F3/0659 ,  G06F9/3887 ,  G06F9/505 ,  G06F9/5016 ,  G06F9/5044 ,  G06F9/5072 ,  G06F9/5077 ,  G06F11/141 ,  G06F11/3414 ,  G06F12/0862 ,  G06F12/0893 ,  G06F12/10 ,  G06F13/161 ,  G06F13/1694 ,  G06F13/42 ,  G06F13/4282 ,  G06F15/8061 ,  G06F2209/5019 ,  G06F2209/5022 ,  G06F2212/1008 ,  G06F2212/1024 ,  G06F2212/1041 ,  G06F2212/1044 ,  G06F2212/152 ,  G06F2212/202 ,  G06F2212/401 ,  G06F2212/402 ,  G06F2212/7207 ,  G06Q10/06 ,  G06Q10/06314 ,  G06Q10/087 ,  G06Q10/20 ,  G06Q50/04 ,  G07C5/008 ,  G08C2200/00 ,  G11C5/06 ,  H03M7/30 ,  H03M7/3084 ,  H03M7/40 ,  H03M7/4031 ,  H03M7/6005 ,  H03M7/6023 ,  H04B10/25 ,  H04L9/0643 ,  H04L9/14 ,  H04L9/3247 ,  H04L9/3263 ,  H04L12/2809 ,  H04L41/024 ,  H04L41/046 ,  H04L41/082 ,  H04L41/0813 ,  H04L41/0896 ,  H04L41/12 ,  H04L41/147 ,  H04L41/5019 ,  H04L43/065 ,  H04L43/16 ,  H04L45/02 ,  H04L45/52 ,  H04L47/24 ,  H04L47/38 ,  H04L47/765 ,  H04L47/782 ,  H04L47/805 ,  H04L47/82 ,  H04L47/823 ,  H04L49/15 ,  H04L49/555 ,  H04L61/00 ,  H04L67/10 ,  H04L67/1004 ,  H04L67/1008 ,  H04L67/1012 ,  H04L67/1014 ,  H04L67/1029 ,  H04L67/1034 ,  H04L67/1097 ,  H04L67/12 ,  H04L67/34 ,  H04L67/51 ,  H04Q1/04 ,  H04Q11/00 ,  H04Q11/0005 ,  H04Q11/0062 ,  H04Q11/0071 ,  H04Q2011/0037 ,  H04Q2011/0041 ,  H04Q2011/0052 ,  H04Q2011/0073 ,  H04Q2011/0079 ,  H04Q2011/0086 ,  H04Q2213/13523 ,  H04Q2213/13527 ,  H04W4/023 ,  H04W4/80 ,  H05K1/0203 ,  H05K1/181 ,  H05K5/0204 ,  H05K7/1418 ,  H05K7/1421 ,  H05K7/1422 ,  H05K7/1447 ,  H05K7/1461 ,  H05K7/1485 ,  H05K7/1487 ,  H05K7/1489 ,  H05K7/1491 ,  H05K7/1492 ,  H05K7/1498 ,  H05K7/2039 ,  H05K7/20709 ,  H05K7/20727 ,  H05K7/20736 ,  H05K7/20745 ,  H05K7/20836 ,  H05K13/0486 ,  H05K2201/066 ,  H05K2201/10121 ,  H05K2201/10159 ,  H05K2201/10189 ,  Y02D10/00 ,  Y02P90/30 ,  Y04S10/50 ,  Y04S10/52 ,  Y10S901/01

Abstract: Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

公开(公告)号：US11109428B2

公开(公告)日：2021-08-31

申请号：US16600276

申请日：2019-10-11

Applicant: Intel Corporation

Inventor： Telesphor Kamgaing ,  Rahul Khanna

IPC: H04W76/10 ,  H01L25/065 ,  H01L25/16 ,  H01L23/66 ,  H01Q1/22 ,  H04B1/48 ,  H01L23/00 ,  H04Q1/02 ,  H05K7/14 ,  H01Q3/30 ,  H04B1/38

Abstract: A blade computing system is described with a wireless communication between blades. In one embodiment, the system includes a first blade in the enclosure having a radio transceiver to communicate with a radio transceiver of a second blade in the enclosure. The second blade has a radio transceiver to communicate with the radio transceiver of the first blade. A switch in the enclosure communicates with the first blade and the second blade and establishes a connection through the respective radio transceivers between the first blade and the second blade.

公开(公告)号：US20210116982A1

公开(公告)日：2021-04-22

申请号：US17133226

申请日：2020-12-23

Applicant: Intel Corporation

Inventor： Rahul Khanna ,  Xin Kang ,  Ali Taha ,  James Tschanz ,  William Zand ,  Robert Kwasnick

IPC: G06F1/324 ,  G06F1/3296 ,  G06F1/3287 ,  G06F9/50

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to optimize a guard band of a hardware resource. An example apparatus includes at least one storage device, and at least one processor to execute instructions to identify a phase of a workload based on an output from a machine-learning model, the phase based on a utilization of one or more hardware resources, and based on the phase, control a guard band of a first hardware resource of the one or more hardware resources.

公开(公告)号：US10735835B2

公开(公告)日：2020-08-04

申请号：US15395482

申请日：2016-12-30

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Rahul Khanna ,  Nishi Ahuja ,  Mrittika Ganguli

IPC: G06F1/20 ,  G06F3/06 ,  H04L12/24 ,  H04L29/08 ,  G06F13/42 ,  H04Q11/00 ,  H05K7/14 ,  G06F9/50 ,  H04L12/911 ,  B25J15/00 ,  B65G1/04 ,  H05K7/20 ,  H04L12/931 ,  H04L12/939 ,  H04W4/02 ,  H04L12/751 ,  H05K1/18 ,  G05D23/19 ,  G05D23/20 ,  H04L12/927 ,  H05K1/02 ,  H04L12/781 ,  H04Q1/04 ,  G06F12/0893 ,  H03M7/30 ,  H05K13/04 ,  G06F13/16 ,  G11C5/06 ,  G06F11/14 ,  G06F11/34 ,  G06F12/0862 ,  G06F15/80 ,  H04L12/919 ,  G06F12/10 ,  G06F13/40 ,  G06Q10/06 ,  G07C5/00 ,  H04L12/28 ,  H04L29/12 ,  H04L9/06 ,  H04L9/14 ,  H04L9/32 ,  H04L12/933 ,  H04L12/947

Abstract: Technologies for allocating resources of a set of managed nodes to workloads to manage heat generation include an orchestrator server to receive resource allocation objective data including a target temperature for one or more of the managed nodes. The orchestrator server is also to determine an initial assignment of a set of workloads among the managed nodes, receive telemetry data from the managed nodes indicative of resource utilization by each of the managed nodes and one or more temperatures and fan speeds of the managed nodes as the workloads are performed, predict future heat generation of the workloads as a function of the telemetry data, determine, as a function of the predicted future heat generation, an adjustment to the assignment of the workloads to achieve the target temperature, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed.