公开(公告)号：US20230205692A1

公开(公告)日：2023-06-29

申请号：US17561571

申请日：2021-12-23

Applicant: Intel Corporation

Inventor： ANANT NORI ,  RAHUL BERA ,  SHANKAR BALACHANDRAN ,  JOYDEEP RAKSHIT ,  Om Ji OMER ,  SREENIVAS SUBRAMONEY ,  AVISHAII ABUHATZERA ,  BELLIAPPA KUTTANNA

IPC: G06F12/0811 ,  G06F9/48 ,  G06F9/30 ,  G06N3/02

CPC classification number: G06F12/0811 ,  G06F9/4881 ,  G06F9/3012 ,  G06N3/02

Abstract: Apparatus and method for leveraging simultaneous multithreading for bulk compute operations. For example, one embodiment of a processor comprises: a plurality of cores including a first core to simultaneously process instructions of a plurality of threads; a cache hierarchy coupled to the first core and the memory, the cache hierarchy comprising a Level 1 (L1) cache, a Level 2 (L2) cache, and a Level 3 (L3) cache; and a plurality of compute units coupled to the first core including a first compute unit associated with the L1 cache, a second compute unit associated with the L2 cache, and a third compute unit associated with the L3 cache, wherein the first core is to offload instructions for execution by the compute units, the first core to offload instructions from a first thread to the first compute unit, instructions from a second thread to the second compute unit, and instructions from a third thread to the third compute unit.

公开(公告)号：US20220196798A1

公开(公告)日：2022-06-23

申请号：US17375017

申请日：2021-07-14

Applicant: Intel Corporation

Inventor： Chulong CHEN ,  Wenling Margaret HUANG ,  Saiveena KESARAJU ,  Ivan SIMÕES GASPAR ,  Pradyumna S. SINGH ,  Biji GEORGE ,  Dipan Kumar MANDAL ,  Om Ji OMER ,  Sreenivas SUBRAMONEY ,  Yuval AMIZUR ,  Leor BANIN ,  Hao CHEN ,  Nir DVORECKI ,  Shengbo XU

IPC: G01S7/41 ,  H01Q21/06 ,  G01S13/89 ,  G01S7/40 ,  G01S13/58

Abstract: According to various embodiments, a radar device is described comprising a processor configured to generate a scene comprising an object based on a plurality of receive wireless signals, generate a ground truth object parameter of the object and generate a dataset representative of the scene and a radar detector configured to determine an object parameter of the object using a machine learning algorithm and the dataset, determine an error value of the machine learning algorithm using a cost function, the object parameter, and the ground truth object parameter and adjust the machine learning algorithm values to reduce the error value.