公开(公告)号：US20200258263A1

公开(公告)日：2020-08-13

申请号：US16750819

申请日：2020-01-23

Applicant: Intel Corporation

Inventor： 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

IPC: G06T9/00 ,  G06T15/00 ,  G06F12/02

Abstract: 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.

公开(公告)号：US20200005515A1

公开(公告)日：2020-01-02

申请号：US16023647

申请日：2018-06-29

Applicant: Intel Corporation

Inventor： Pradeep Ramani ,  Karthik Vaidyanathan ,  Prasoonkumar Surti

IPC: G06T15/00 ,  G06F9/38 ,  G06F9/48 ,  G06T1/20

Abstract: A mechanism is described for facilitating efficient prediction of most commonly occurring values in data blocks in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to perform parallel calculations on values associated with multiple sub-blocks of a data block, and predict, based on the parallel calculations, a most commonly-occurring value in the data block. The apparatus if further to classify the most commonly-occurring value as a mode value for one or more data types to be used with one or more applications.

公开(公告)号：US20190324757A1

公开(公告)日：2019-10-24

申请号：US15957695

申请日：2018-04-19

Applicant: Intel Corporation

Inventor： James Valerio ,  Ben Ashbaugh ,  Pradeep Ramani ,  Rebecca David ,  Sabareesh Ganapathy ,  Hashem Hashemi

IPC: G06F9/38 ,  G06F9/30

Abstract: Embodiments described herein provide techniques to maintain high temporal cache locality between independent threads having the same or similar memory access pattern. One embodiment provides a graphics processing unit comprising an instruction execution pipeline including hardware execution logic and a thread dispatcher to process a set of commands for execution and distribute multiple groups of hardware threads to the hardware execution logic to execute the set of commands. The thread dispatcher can be configured to concurrently distribute a first group of the multiple groups of hardware threads to the hardware execution logic and withhold distribution of additional hardware threads for the set of commands until after the first group completes execution.

公开(公告)号：US20190206090A1

公开(公告)日：2019-07-04

申请号：US15859408

申请日：2017-12-30

Applicant: Intel Corporation

Inventor： 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

IPC: G06T9/00 ,  G06T15/00

CPC classification number: G06T9/002 ,  G06F12/023 ,  G06F2212/302 ,  G06F2212/401 ,  G06T15/005

Abstract: 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.