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Argobots: A Lightweight Threading Framework for Massive Fine-Gra

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Argobots: A Lightweight Threading Framework for Massive Fine-Gra

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Argobots: A Lightweight Threading Framework for

Massive Fine-Grained Parallelism

Shintaro Iwasaki

Argonne National Laboratory

Email: siwasaki@anl.gov

SOLVED

Hardware Trend: More and More Cores

▪ Increase of cores in a processor.

▪ Finer-grained parallelism is important to utilize all cores.

1.0E-1

1.0E+0

1.0E+1

1.0E+2

1.0E+3

1.0E+4

1.0E+5

1968 1982 1995 2009 2023

CPU Frequency [MHz]

Year

100

1968 1982 1995 2009 2023

# of Cores per Processor

Year

Frequency # of cores

[Right] Intel Xeon Phi (Knights Landing) 72 cores, 288 HWTs

(https://software.intel.com/en-us/articles/what-disclosures-has-intel-made-

about-knights-landing)

[Left] ARM ThunderX2 up to 32 cores, 128 HWTs

(https://www.servethehome.com/cavium-thunderx2-review-benchmarks-real-

arm-server-option/)

CPU DB: (http://cpudb.stanford.edu/)

Software Trend: Irregular and Complex Applications

▪ Dynamic and irregular parallel algorithms.

– Adaptive mesh refinement, FMM, graph processing, …

▪ Difficult parallelism control over complicated software stacks.

– Hard to reduce parallelism in an optimal way. Can’t we utilize all?

Regular Parallelism Irregular Parallelism

High-Level

Runtime System

Threading System

Scientific Library

Math Library A

User Application

Math Library B

Parallel code

Parallel Code

nested!

CPU

Lightweight Threads for Scalability

▪ In-node parallel units are called threads.

– Runnable by multiple cores.

▪ For scalability, threads become finer-grained.

▪ Demand of extremely lightweight threads to utilize both

hardware and software parallelism.

Core

Core Core

Core

Irregular algorithm

and complicated input

More cores

CPU

Core

Core Core

Core

Core Core

Core

Core Core

Core

Each block: thread.

Core

Core Core

Core

Core Core

Core

Core Core

Core

Argobots: A Low-Level Lightweight Threading Library

▪ Argobots is an open-source project

– URL: https://argobots.org/

– Maintained by Argonne National Laboratory

• Collaborators: UIUC, Univ. of Tennessee, PNNL,

Intel, UTokyo, Riken, …

• Supported by DOE

▪ Unleashes user-level threads (ULTs)

▪ Provides for the future scalable systems.

– Extremely lightweight “thread” implementation

– Rich and powerful threading capabilities

– Interoperability with other programming models

Argobots

CPU

Core Core Core

OS-level thread OS-level thread OS-level thread

Pool Pool Pool

Execution

Stream

Execution

Stream

Execution

Stream

Scheduler Scheduler Scheduler

ULT ULT ULT

ULT ULT

Pool

ULT ULT

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