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公开(公告)号：US12056906B2
公开(公告)日：2024-08-06
申请号：US18466141
申请日：2023-09-13
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-ahmed-vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
CPC分类号： G06T9/002 , G06F12/023 , G06T15/005 , G06F2212/302 , G06F2212/401
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US11798198B2
公开(公告)日：2023-10-24
申请号：US18152643
申请日：2023-01-10
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-ahmed-vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
CPC分类号： G06T9/002 , G06F12/023 , G06T15/005 , G06F2212/302 , G06F2212/401
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US20240070926A1
公开(公告)日：2024-02-29
申请号：US18466141
申请日：2023-09-13
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-ahmed-vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
CPC分类号： G06T9/002 , G06F12/023 , G06T15/005 , G06F2212/302 , G06F2212/401
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US20230230289A1
公开(公告)日：2023-07-20
申请号：US18152643
申请日：2023-01-10
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-ahmed-vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
CPC分类号： G06T9/002 , G06F12/023 , G06T15/005 , G06F2212/401 , G06F2212/302
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US11557064B2
公开(公告)日：2023-01-17
申请号：US16750819
申请日：2020-01-23
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-ahmed-vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US20200258263A1
公开(公告)日：2020-08-13
申请号：US16750819
申请日：2020-01-23
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-ahmed-vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US20190206090A1
公开(公告)日：2019-07-04
申请号：US15859408
申请日：2017-12-30
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-Ahmed-Vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
CPC分类号： G06T9/002 , G06F12/023 , G06F2212/302 , G06F2212/401 , G06T15/005
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US10546393B2
公开(公告)日：2020-01-28
申请号：US15859408
申请日：2017-12-30
申请人： Intel Corporation
发明人： Joydeep Ray , Ben Ashbaugh , Prasoonkumar Surti , Pradeep Ramani , Rama Harihara , Jerin C. Justin , Jing Huang , Xiaoming Cui , Timothy B. Costa , Ting Gong , Elmoustapha Ould-Ahmed-Vall , Kumar Balasubramanian , Anil Thomas , Oguz H. Elibol , Jayaram Bobba , Guozhong Zhuang , Bhavani Subramanian , Gokce Keskin , Chandrasekaran Sakthivel , Rajesh Poornachandran
摘要： Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.
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公开(公告)号：US20200226454A1
公开(公告)日：2020-07-16
申请号：US16832830
申请日：2020-03-27
申请人： Intel Corporation
摘要： Methods, apparatus, systems and articles of manufacture for low precision training of a machine learning model are disclosed. An example apparatus includes a low precision converter to calculate an average magnitude of weighting values included in a tensor, the weighting values represented in a high precision format, the low precision converter to calculate a maximal magnitude of the weighting values included in the tensor, determine a squeeze factor and a shift factor based on the average magnitude and the maximal magnitude, and convert the weighting values from the high precision format into a low precision format based on the squeeze factor and the shift factor. A model parameter memory is to store the tensor as part of a machine learning model, the tensor including the weighting values represented in the low precision format, the shift factor, and squeeze factor. A model executor is to execute the machine learning model.
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