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Tutorials for the Kokkos C++ Performance Portability Programming Ecosystem

License: Other

Makefile 5.82% C++ 83.36% Fortran 0.92% Shell 3.96% CMake 2.03% C 3.91%

kokkos-tutorials's Introduction

Kokkos: Core Libraries

Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources. It currently can use CUDA, HIP, SYCL, HPX, OpenMP and C++ threads as backend programming models with several other backends in development.

Kokkos Core is part of the Kokkos C++ Performance Portability Programming Ecosystem.

Kokkos is a Linux Foundation project.

Learning about Kokkos

To start learning about Kokkos:

Kokkos Lectures: they contain a mix of lecture videos and hands-on exercises covering all the important capabilities.
Programming guide: contains in "narrative" form a technical description of the programming model, machine model, and the main building blocks like the Views and parallel dispatch.
API reference: organized by category, i.e., core, algorithms and containers or, if you prefer, in alphabetical order.
Use cases and Examples: a serie of examples ranging from how to use Kokkos with MPI to Fortran interoperability.

Obtaining Kokkos

The latest release of Kokkos can be obtained from the GitHub releases page.

The current release is 4.3.00.

curl -OJ -L https://github.com/kokkos/kokkos/archive/refs/tags/4.3.00.tar.gz
# Or with wget
wget https://github.com/kokkos/kokkos/archive/refs/tags/4.3.00.tar.gz

To clone the latest development version of Kokkos from GitHub:

git clone -b develop  https://github.com/kokkos/kokkos.git

Building Kokkos

To build Kokkos, you will need to have a C++ compiler that supports C++17 or later. All requirements including minimum and primary tested compiler versions can be found here.

Building and installation instructions are described here.

You can also install Kokkos using Spack: spack install kokkos. Available configuration options can be displayed using spack info kokkos.

For the complete documentation: kokkos.org/kokkos-core-wiki/

Support

For questions find us on Slack: https://kokkosteam.slack.com or open a GitHub issue.

For non-public questions send an email to: crtrott(at)sandia.gov

Contributing

Please see this page for details on how to contribute.

Citing Kokkos

Please see the following page.

License

Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software.

The full license statement used in all headers is available here or here.

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kokkos-tutorials's Issues

URLs in LectureSeries are out of date

e.g. LectureSeries/KokkosTutorial_01_Introduction.pdf

github.com/kokkos/kokkos/wiki -> https://kokkos.org/kokkos-core-wiki/

Kokkos Tutorial 07/24/2018

https://docs.google.com/spreadsheets/d/1MuSBl4Uh21tH2t4ENhvsVaS6p728fDmEjBiWyPAomvE/edit#gid=0

https://goo.gl/forms/BmAQtGBVnG28P5PJ2

Mention linux foundation in "What is Kokkos"-style content

e.g. LectureSeries/KokkosTutorial_01_Introduction.pdf slide 10

integer division issue in slide 19 ?

Just an insignificant detail I'm sure but in the short version of the slides, slide 19/83:

double  totalIntegral = 0;
for (int64_t i = 0; i < numberOfIntervals; ++i) {
  const  double x =lower+ (i/numberOfIntervals) * (upper-lower);
  const  double  thisIntervalsContribution =function(x);
  totalIntegral  +=  thisIntervalsContribution;
}
totalIntegral  *= dx;

assuming numberOfIntervals is of int type, isn't i/numberOfIntervals always 0 ?

Cannot run Examples using Cuda on V100

I am attempting to run Exampe #2 in the Intro-Full space on an NVidia V100.

I have cloned kokkos and kokkos-tutorials in my $HOME/Kokkos directory.

I have GCC 8.2.0 and Cuda 10.1.243 in my LD_LIBRARY_PATH/PATH.

I go into kokkos-tutorials/Intro-Full/Exercises/02/Begin and run:

make -j KOKKOS_DEVICES=Cuda
make -j KOKKOS_DEVICES=OpenMP

Both run without error.

The host binary runs fine. However the when running:

dgx2 { ~/Kokkos/kokkos-tutorials/Intro-Full/Exercises/02/Begin }-> CUDA_VISIBLE_DEVICES=0 ./02_Exercise.cuda -S 26
  User S is 67108864
  Total size S = 67108864 N = 65536 M = 1024
  Error: result( 0.000000 ) != solution( 67108864.000000 )
terminate called after throwing an instance of 'std::runtime_error'
  what():  cudaFuncSetCacheConfig( cuda_parallel_launch_local_memory<DriverType>, (prefer_shmem ? cudaFuncCachePreferShared : cudaFuncCachePreferL1)) error( cudaErrorIllegalAddress): an illegal memory access was encountered /home/parton/Kokkos/kokkos/core/src/Cuda/Kokkos_Cuda_KernelLaunch.hpp:426
Traceback functionality not available

Aborted

My first assumption is that I've done something wrong, but I can't quite figure it out as I was directly following the tutorial from ATPESC last summer on youtube.

Kokkos Tutorial PACT'19

Please insert your email address in this spreadsheet:

https://docs.google.com/spreadsheets/d/1R2K_IMfEPWdCdFCacuRjhVhrjwv1P01Wwk6D5z9GbWc/edit#gid=0

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS

where IPADDRESS is the URL you claimed on the spreadsheet.

Tutorials Signup and Cloud Instances

Please insert your email address in this spreadsheet:

REMOVED LINK

We will fill in an IP address for the cloud instance you can use for the hands-on exercise.
The ssh-key is attached. Note it must only be readable by you: chmod go-r tutorial-1.txt

ssh -i tutorial-1.txt ec2-user@IPADDRESS

The tutorial Exercises are located in Kokkos/kokkos-tutorials/Intro-Short/Exercises

Problem in Exercises/Makefile

Hello Kokkos Team,
I believe the content of kokkos-tutorials/Exercises/Makefile is not compatible with the exercises. In fact, it is trying to compile exercises 5-10 which don't exist and it doesn't compile some examples that exist in the Exercises directory. I was able to fix it locally but figured I should report/ask about the reason.
Thanks!

Correct Slides to point to generic Tutorial Intro-Short /Intro-Full

Correct

Get instructions for Windows Putty How to connect

Cannot reproduce openmp example

Hi,

I am trying to learn basics of Kokkos just to see how comfotable I feel with it. I have not particpated in any of your tutorials but I have watched a video on YT and went through several slide decks in this repository.

I am working on P8 machines with Pascals, but also locally on x86+K1100. I installed kokkos myself and I use lmod to manage it. To build kokkos I use something like this:

NVCC_WRAPPER=$(readlink -f kokkos/bin/nvcc_wrapper)
mkdir build
cd build
../kokkos/generate_makefile.bash \
    --prefix=${INSTALL_PATH} \
    --arch="Power8,Pascal60" \
    --compiler=${NVCC_WRAPPER} \
    --with-cuda \
    --with-cuda-options="enable_lambda" \
    --with-openmp \
    && make kokkoslib -j20 && make install

My first problem is that Makefiles in the tutorials overwrite KOKKOS_PATH variables, but I can handle that manually.

My biggest current concern is not being able to run openmp examples e.g. tutorial 01 and 02. If I use your Makefiles I can an error about -arch=60. If I remove all CUDA specific flags I can compile, but I get a CUDA error at runtime

  Total size S = 4194304 N = 4096 M = 1024
Kokkos::OpenMP::initialize WARNING: OMP_PROC_BIND environment variable not set
  In general, for best performance with OpenMP 4.0 or better set OMP_PROC_BIND=spread and OMP_PLACES=threads
  For best performance with OpenMP 3.1 set OMP_PROC_BIND=true
  For unit testing set OMP_PROC_BIND=false
terminate called after throwing an instance of 'std::runtime_error'
  what():  cudaDeviceSynchronize() error( cudaErrorIllegalAddress): an illegal memory access was encountered /home/rrs59-sxa03/build/kokkos/kokkos/core/src/Cuda/Kokkos_Cuda_Impl.cpp:119
Traceback functionality not available

My feeling is that I am doing something terribly wrong due to my misunderstanding. Is it possible to have CUDA and OpenMP backends in one kokkos installation?

Kokkos Lecture Series July-September

1st Kokkos Lecture Series July-September

The Kokkos team will provide its first Kokkos Lecture Series, where attendees learn everything necessary to start using Kokkos to write performance portable code. This Kokkos Lecture Series will consist of a 2-hour online lecture every Friday and exercises as homework. The team will provide support via GitHub and Slack throughout the time of the training.

Wiki Page with Recordings and Q&A: Lecture Series

Office Hours Tuesday 3-5PM ET: see below

Signup

Registration with email address, name and institution is necessary here:
https://www.exascaleproject.org/event/kokkos-class-series/

The event is free.

What is Kokkos?

Kokkos is a C++ Programming Model for Performance Portability developed by a team spanning some of the major HPC facilities in the world. It allows developers to implement their applications in a single source fashion, with hardware vendor agnostic programming patterns. Implemented as a C++ template meta programming library, Kokkos can be used with the primary tool chains on any HPC platforms. The model is used by many HPC applications both within and outside the US, and is the primary programming model for the efforts of the Sandia National Laboratory to make their engineering and science codes ready for exascale. At this point more than 100 projects are using Kokkos to obtain performance portability.

The tutorial will teach attendees the basics of Kokkos programming through a step-by-step sequence of lectures and hands-on exercises. Fundamental concerns of performance portable programming will be explained. At the end of the training, attendees will have learned how to dispatch parallel work with Kokkos, do parallel reductions, manage data, identify and manage data layout issues and expose hierarchical parallelism. Attendees will also learn about advanced topics such as using SIMD vector types, tasking and integrate Kokkos with MPI. Furthermore the Kokkos Lecture Series will cover the use of Kokkos Tools to profile and tune applications, as well as leveraging the KokkosKernels math library to access performance portable linear algebra operations. The material used during the training will be available online, including the exercises and their solutions. Support hours will be offered to answer questions and help with exercises - including access to Cloud Instances with GPUs to do the exercises (we may need to limit attendee numbers for those depending on demand).

Contents of the Tutorial

This is a preliminary outline of the training. We are keeping a 9th day in reserve for anticipated schedule slippage. The lectures will be held Fridays: 10:00-12:00 MT (12:00-14:00 ET; 9:00-11:00 PT).

Module 1: Introduction 07/17/2020
- Introduction
- How to build
- Data parallel execution patterns
Module 2: Views and Spaces 07/24/2020
- Views
- Memory Space and Execution Spaces
- Memory access patterns (layouts)
Module 3: Data Structures and MDRange 07/31/2020
- Subview
- MDRange
- Dual View
- Atomics
- Scatter View
Module 4: Hierarchical Parallelism 08/07/2020
- Hierarchical parallelism
- Scratch Space
- UniqueToken
Module 5: Streams, Tasking and SIMD 08/14/2020
- Stream Integration
- Tasking
- SIMD
Module 6: MPI and PGAS 08/21/2020
- MPI
- PGAS
Module 7: Tools 08/28/2020
- Profiling
- Tuning
- Static Analysis
Module 8: Kokkos Kernels 09/04/2020
- BLAS
- Sparse BLAS
Backup Day: 09/11/2020

How to Attend

The lecture series is available to everyone
No-cost registration is necessary, meeting password will be send to registrants.
For the exercises access to an NVIDIA GPU system or AMD GPU system with up-to-date software stack is recommended.

For updates and questions visit: #38

Change most occurances of `CudaUVMSpace` -> `SharedSpace`

Slides may have been created before SharedSpace existed.

e.g. KokkosTutorial_02_ViewsAndSpaces.pdf slide 28

Fair to add CEA to "Kokkos Team" content?

e.g. LectureSeries/KokkosTutorial_01_Introduction.pdf slide 13

AWS Cloud Instances for June Training

Please insert your email address in this spreadsheet:

https://docs.google.com/spreadsheets/d/16xnKMV9beGzEl50l2mfPKpCYzcj81DmqhSs_M30mfds/edit#gid=0

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key (inluding the ----BEGIN... and ----END... part) into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS
where IPADDRESS is the URL you claimed on the spreadsheet.

AWS Cloud Instances for April 2020 Online Bootcamp

Claim an instance first in this spreadsheet by putting your name next to an instance:

https://docs.google.com/spreadsheets/d/1I-JF-W6OwtYyTNQvDAgDbd2r5UYrFhb7FtWxPgnXezA/edit#usp=sharing

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS
where IPADDRESS is the address you claimed on the spreadsheet.

Exercises - add scope guards to remove runtime warning messages

Runtime warning messages need to be fixed:

Kokkos allocation "A" is being deallocated after Kokkos::finalize was called
This behavior is incorrect Kokkos usage, and will crash in future releases
Kokkos allocation "x" is being deallocated after Kokkos::finalize was called
This behavior is incorrect Kokkos usage, and will crash in future releases
Kokkos allocation "y" is being deallocated after Kokkos::finalize was called
This behavior is incorrect Kokkos usage, and will crash in future releases

Add scope guards { and } or replace Kokkos::initialize() and Kokkos::finalize() with construction of a Kokkos::ScopeGuard object to address this.

`fortran-kokkosinterface` and Kokkos::init`/ `Kokkos::finalize`

I think my initial question didn't make sense:

Q) How does init/finalize work/get called for the fortran interface example?

Kokkos Tutorial SNL November 2019

Please insert your email address in this spreadsheet:

https://docs.google.com/spreadsheets/d/1Sz-tHJ8dLz8cJ-GJZ0q0vbIyza_Cb3CeqoZirpLBIOQ/edit?usp=drivesdk

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS

where IPADDRESS is the URL you claimed on the spreadsheet.

Cloud Instances for UPenn Tutorial

Claim an instance first in this spreadsheet by putting your name next to an instance:

https://docs.google.com/spreadsheets/d/1bnD6Zh-bNEHcs0660yGLvarIiscmTNU19dSWXj-ifAo/edit?usp=sharing

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS
where IPADDRESS is the URL you claimed on the spreadsheet.

Bug in simd exercise

Hi,

I think there is a bug in simd_warp exercise:

data is a 2d View declared with the default memory layout, but it really should be declared with LeftLayout, so that memory is contiguous along extent(0).

I think the error was not seen because the input is initialized with constant data, and consequently the bug is neutral;
but if you initilialized with non trivial data, one can see that the final result of test_simd and test_scalar are not the same.

I can provide a small fix for that if needed.

AWS Cloud Instances for Santa Fe Tutorial 2020

Claim an instance first in this spreadsheet by putting your name next to an instance:

https://docs.google.com/spreadsheets/d/16l7rzkuu8IYvY-3NiY6moTi9hEz6fHhHBtwlqrXZhd0/edit?usp=sharing

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS
where IPADDRESS is the address you claimed on the spreadsheet.

Kokkos Tutorial LRZ

~~IPs~~ -> course is over

Intel Power8?

The 1-Day tutorial README refers to Intel Power8. Surely IBM Power8 was intended, or my former employer has branched out :-).

Kokkos June Online Training

Due to a screw up on our side we need to postpone the training by a week to June 23th - June 25th

The Kokkos team will provide a 3-day training consisting of Lectures and Hands-On exercises Tuesday June 23th through Thursday June 25th. If you plan to attend please send an email to [email protected] so we get an idea of number of attendees.

What is Kokkos?

The tutorial will teach attendees the basics of Kokkos programming through a step-by-step sequence of lectures and hands-on exercises. Fundamental concerns of performance portable programming will be explained, and attendees will be provided with cloud instances to do the exercises on systems with GPUs and CPUs. At the end of the training, attendees will have learned how to dispatch parallel work with Kokkos, do parallel reductions, manage data, identify and manage data layout issues and expose hierarchical parallelism. The material used during the training will be available online, including the exercises and their solutions.

Contents of the Tutorial

(Not necessarily in that order)

Basic Kokkos Usage
- Data Management
- Simple Kernels
Basics of Performance Portable Programming for CPUs and GPUs
- Data access patterns
Intermediate Kokkos Usage
- Complex Data structures
- Scatter Contribute patterns
- Basic Hierarchical Parallelism
Advanced Kokkos Usage
- Advanced Hierarchical Parallelism (Vectorization and Scratch pads)
- SIMD types
- Task based programming.
Kokkos Tools
- Profiling
- Tuning
- Debuggging
GPU Performance Analysis
- Kokkos Kernels Math Libraries

We will generally start 9am MT and go till 5pm MT with a longer break for lunch. Tuesday we will break from 11am to 1pm to allow summer students to attend a regular students event at 11 for them.

What do you need?

You must be able to ssh to a linux system – we will provide AWS GPU instances
Some C++ knowledge recommended
Parallel programming experience helpful
Sign up for the kokkosteam.slack.com channel if possible. Contact us if you can’t.

Meeting Link

Will be posted here later.

We will use a ECP Zoom.gov account, ORNL is hosting the meeting.

Problem compiling Exercices with CUDA

Dear developpers,
I am very new to Kokkos, so I beg you pardon in advance if this issue is a trivial error on my side.
I compiled Kokkos with CUDA support and tries to compile the exercies from kokkos-tutorials.
They all fail with the same kind of error:

$ cmake ../ -DKokkos_DIR=/home/th202608/codes/kokkos/master/install/lib/cmake/Kokkos/
$ make
[ 50%] Building CXX object CMakeFiles/03_Exercise.dir/exercise_3_solution.cpp.o
/home/th202608/codes/kokkos/master/install/include/Cuda/Kokkos_Cuda_Parallel.hpp(909): error: calling a __host__ function("main::[lambda(int, double &) (instance 1)]::operator ()(int, double &) const") from a __device__ function("Kokkos::Impl::ParallelReduce<    ::main   ::[lambda(int, double &) (instance 1)],  ::Kokkos::RangePolicy< ::Kokkos::Cuda > ,  ::Kokkos::InvalidType,  ::Kokkos::Cuda> ::exec_range<void>  const") is not allowed

/home/th202608/codes/kokkos/master/install/include/Cuda/Kokkos_Cuda_Parallel.hpp(909): error: identifier "main::[lambda(int, double &) (instance 1)]::operator () const" is undefined in device code

2 errors detected in the compilation of "/home/th202608/codes/kokkos/tutorials/master/src/kokkos-tutorials/Exercises/03/Solution/exercise_3_solution.cpp".
make[2]: *** [CMakeFiles/03_Exercise.dir/build.make:76: CMakeFiles/03_Exercise.dir/exercise_3_solution.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:83: CMakeFiles/03_Exercise.dir/all] Error 2

For the sake of completness, I am on Debian stretch, gcc 8.3.0, cuda 11.4, cmake 3.20.3
Thanks for any help.

Structure directories as scope / event

Cloud Instances for Oakland Bootcamp

Please insert your email address in this spreadsheet:

https://docs.google.com/spreadsheets/d/1IycNldowMYoskkRVRm2B6h1V8P-DQUZ-aBvZm86NLiE/edit?usp=sharing

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod go-r tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ec2-user@IPADDRESS

where IPADDRESS is the URL you claimed on the spreadsheet.

Exercises: Replace gettimeofday with Kokkos::Timer use

Exercises - update the nvcc_wrapper path

The path should go to kokkos/bin rather than kokkos/config

`numberOfTeams` in TeamPolicy related slides

In the slides to the current tutorials (e.g., https://github.com/kokkos/kokkos-tutorials/blob/master/Intro-Full/Slides/KokkosTutorial_PACT19.pdf, p. 101ff)
the constructor to TeamPolicy is described as:

TeamPolicy < ExecutionSpace >( numberOfTeams , teamSize )

while on the official kokkos wiki the constructor looks like the following (https://github.com/kokkos/kokkos/wiki/Kokkos::TeamPolicy):

Kokkos::TeamPolicy<>( league_size, team_size [, vector_length])

In my opinion the name numberOfTeams is very misleading, as it appears to be dependent on the teamSize, which it is not. It should be renamed to league_size.

The calculation of work on page 101 might also need an update.

ECP Annualmeeting 2022 - Kokkos Tutorial AWS Instances

Please insert your email address in this spreadsheet:

https://docs.google.com/spreadsheets/d/1Sz-tHJ8dLz8cJ-GJZ0q0vbIyza_Cb3CeqoZirpLBIOQ/edit?usp=drivesdk

Use the following private key to SSH into one of these instances once you claim an instance:

Save this key into a file on your laptop (e.g., tutorial-key.pem). Note that file must only be readable by you: chmod 400 tutorial-key.pem

You can then login like this:

ssh -i tutorial-key.pem ubuntu@IPADDRESS

where IPADDRESS is the URL you claimed on the spreadsheet.

Exercise 1, illegal instruction (core dumped)

Hi,
I try to run the exercise 01 by my desktop, and the result is correct. However, I cannot get the timer and bandwidth. the results give

Total size S = 4194304 N = 4096 M = 1024
Computed result for 4096 x 1024 is 4194304.000000
Illegal instruction (core dumped)

I also try the given solution, same issue.

kokkos / kokkos-tutorials Goto Github PK

kokkos-tutorials's Introduction

Kokkos: Core Libraries

Learning about Kokkos

Obtaining Kokkos

Building Kokkos

For the complete documentation: kokkos.org/kokkos-core-wiki/

Support

Contributing

Citing Kokkos

License

kokkos-tutorials's People

Contributors

Stargazers

Watchers

Forkers

kokkos-tutorials's Issues

1st Kokkos Lecture Series July-September

Wiki Page with Recordings and Q&A: Lecture Series

Office Hours Tuesday 3-5PM ET: see below

Signup

What is Kokkos?

Contents of the Tutorial

How to Attend

Due to a screw up on our side we need to postpone the training by a week to June 23th - June 25th

What is Kokkos?

Contents of the Tutorial

What do you need?

Meeting Link

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