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Title: Hardware assisted fine-grained data movement

Abstract

A processor includes a task scheduling unit and a compute unit coupled to the task scheduling unit. The task scheduling unit performs a task dependency assessment of a task dependency graph and task data requirements that correspond to each task of the plurality of tasks. Based on the task dependency assessment, the task scheduling unit schedules a first task of the plurality of tasks and a second proxy object of a plurality of proxy objects specified by the task data requirements such that a memory transfer of the second proxy object of the plurality of proxy objects occurs while the first task is being executed.

Inventors:
; ; ; ; ;
Issue Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
2222183
Patent Number(s):
11734059
Application Number:
16/824,601
Assignee:
Advanced Micro Devices, Inc. (Santa Clara, CA)
DOE Contract Number:  
AC52-07NA27344; B620717
Resource Type:
Patent
Resource Relation:
Patent File Date: 03/19/2020
Country of Publication:
United States
Language:
English

Citation Formats

Hassaan, Muhammad Amber, Kaushik, Anirudh Mohan, Puthoor, Sooraj, Ravi, Gokul Subramanian, Beckmann, Bradford, and Aji, Ashwin. Hardware assisted fine-grained data movement. United States: N. p., 2023. Web.
Hassaan, Muhammad Amber, Kaushik, Anirudh Mohan, Puthoor, Sooraj, Ravi, Gokul Subramanian, Beckmann, Bradford, & Aji, Ashwin. Hardware assisted fine-grained data movement. United States.
Hassaan, Muhammad Amber, Kaushik, Anirudh Mohan, Puthoor, Sooraj, Ravi, Gokul Subramanian, Beckmann, Bradford, and Aji, Ashwin. Tue . "Hardware assisted fine-grained data movement". United States. https://www.osti.gov/servlets/purl/2222183.
@article{osti_2222183,
title = {Hardware assisted fine-grained data movement},
author = {Hassaan, Muhammad Amber and Kaushik, Anirudh Mohan and Puthoor, Sooraj and Ravi, Gokul Subramanian and Beckmann, Bradford and Aji, Ashwin},
abstractNote = {A processor includes a task scheduling unit and a compute unit coupled to the task scheduling unit. The task scheduling unit performs a task dependency assessment of a task dependency graph and task data requirements that correspond to each task of the plurality of tasks. Based on the task dependency assessment, the task scheduling unit schedules a first task of the plurality of tasks and a second proxy object of a plurality of proxy objects specified by the task data requirements such that a memory transfer of the second proxy object of the plurality of proxy objects occurs while the first task is being executed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {8}
}

Works referenced in this record:

Optimizing the use of GPU memory in applications with large data sets
conference, December 2009