PARALUTION https://www.paralution.com The Library for Iterative Sparse Methods on CPU and GPU Sat, 19 May 2018 20:45:37 +0000 en-US hourly 1 CUDA and OpenCL Training Nov 30 — Dec 3, 2015 https://www.paralution.com/cuda-and-opencl-training-nov-30-dec-3-2015/ https://www.paralution.com/cuda-and-opencl-training-nov-30-dec-3-2015/#comments Mon, 05 Oct 2015 12:11:22 +0000 https://www.paralution.com/?p=1267 (More)…]]> PARALUTION Labs Course Offerings

Our training courses give software developers a solid foundation in the latest technologies in GPU computing and provide valuable orientation in current hardware and software. Theory lectures and practical hands-on sessions are employed. Our goal is to give an overview of the basics and benefits of GPU computing technology. In addition, problems and algorithms from the developers’ area of interest may be incorporated into the existing code samples.

 

Four Days GPU Training Course on CUDA and OpenCL

Nov 30 – Dec 3, 2015
SURFSara Science Park, Amsterdam

 

Monday (Nov 30) and Tuesday (Dec 1): CUDA

  • Introduction to GPU computing
    • Motivation for many-core (GPU) architectures
    • Overview of GPU architectures
  • CUDA framework
    • CUDA hardware model
    • CUDA concepts
  • CUDA programming
    • Thread management and memory model
    • Optimizations
  • Hands-on sessions included.

 

Wednesday (Dec 2): OpenCL

  • OpenCL framework
    • OpenCL programming language
    • OpenCL concepts
  • OpenCL programming
    • Threads, memory model and CUDA analogies
    • Optimizations
  • Hands-on sessions included.

 

Thursday (Dec 3): Libraries and Advanced Topics

  • GPU libraries
    • Dense matrix libraries
    • Sparse matrix libraries
    • STL-like libraries
  • Advanced Optimization
    • Profiling and debugging
    • Multiple / heterogeneous devices
    • Optimizations via texture memory
  • Hands-on sessions included.

 

Goal:

  • The developer will have built a foundation for writing basic GPU based applications
  • The programmer will be able to further develop their skills by learning GPU example code distributed by vendors
  • The programmer will become confident to start developing GPU computing applications

 

Deliverables: 

  • Lecture slides
  • Electronic copy of hands-on material
  • Certification of completion
  • 90 days post training support (conditions apply)
  • Lunch and coffee for all four days

 

Recommendations in C/C++:

  • Functions, loops, conditions
  • Arrays
  • Pointers
  • Memory (de)allocation

 

Pricing and Location:

The total cost for the full course is 2600 EURO (plus VAT if applicable) per attendee. Please contact us, if you would like to participate on specific dates only.

The course will take place at the SURFsara Science Park in Amsterdam.

SURF Science Park Building
Science Park 140
1098 XG Amsterdam
The Netherlands

 

Hands-on Hardware

All hands-on sessions will be performed on a state-of-the-art cluster equipped with GPU devices.

 

Registration:

To register for the course, please send a request to training AT paralution.com. The registration deadline is Nov 20, 2015. Space is limited, please register early to guarantee your spot.

You can cancel your registration until Nov 20, 2015. PARALUTION Labs reserves the right to cancel or re-schedule the course up to Nov 20,2015. In both cases, you will have your registration fee fully refunded.

]]> https://www.paralution.com/cuda-and-opencl-training-nov-30-dec-3-2015/feed/ 0 Thesis at KIT – OpenCL on FPGA https://www.paralution.com/thesis-at-kit-opencl-on-fpga/ https://www.paralution.com/thesis-at-kit-opencl-on-fpga/#comments Fri, 15 May 2015 07:42:19 +0000 https://www.paralution.com/?p=1191 Do you want to write your thesis at KIT (Karlsruhe Institute of Technology) on OpenCL and FPGA?

http://cdnc.itec.kit.edu/53_423.php

Contact us for details!

]]> https://www.paralution.com/thesis-at-kit-opencl-on-fpga/feed/ 0 PARALUTION is funded by EXIST https://www.paralution.com/paralution-is-funded-by-exist-for-1-year/ https://www.paralution.com/paralution-is-funded-by-exist-for-1-year/#comments Tue, 14 Oct 2014 13:48:14 +0000 https://www.paralution.com/?p=859 The PARALUTION project is funded by the EXIST program for one year!

]]> https://www.paralution.com/paralution-is-funded-by-exist-for-1-year/feed/ 0 PARALUTION is listed as an OpenCL library on AMD’s webpage https://www.paralution.com/paralution-is-listed-as-an-opecl-library-on-amds-webpage/ https://www.paralution.com/paralution-is-listed-as-an-opecl-library-on-amds-webpage/#comments Mon, 04 Aug 2014 11:54:20 +0000 https://www.paralution.com/?p=811 http://developer.amd.com/tools-and-sdks/open-source/

 

]]> https://www.paralution.com/paralution-is-listed-as-an-opecl-library-on-amds-webpage/feed/ 0 Report on Block-Preconditioner – ABAQUS, Trilinos, PARALUTION and AGMG https://www.paralution.com/report-on-block-preconditioner-abaqus-trilinos-paralution-and-agmg/ https://www.paralution.com/report-on-block-preconditioner-abaqus-trilinos-paralution-and-agmg/#comments Sun, 18 May 2014 21:44:43 +0000 https://www.paralution.com/?p=761 “Parallel Performance Study of Block-Preconditioned Iterative Methods on Multicore Computer Systems”
Ali Dorostkar, Dimitar Lukarski, Björn Lund, Maya Neytcheva, Yvan Notay, Peter Schmidt

http://www.it.uu.se/research/publications/reports/2014-007/

 

]]> https://www.paralution.com/report-on-block-preconditioner-abaqus-trilinos-paralution-and-agmg/feed/ 0 Two papers on ME-ILU preconditioners https://www.paralution.com/two-papers-on-me-ilu-preconditioners/ https://www.paralution.com/two-papers-on-me-ilu-preconditioners/#comments Sun, 18 May 2014 21:41:54 +0000 https://www.paralution.com/?p=755 “Multi-Elimination ILU Preconditioners on GPUs”

Dimitar Lukarsk, Hartwig Anzt, Stanimire Tomov, Jack Dongarra

   http://www.eecs.utk.edu/resources/library/581

and

“Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures”

Hartwig Anzt, Dimitar Lukarski, Stanimire Tomov, Jack Dongarra

http://www.eecs.utk.edu/resources/library/586

 

]]> https://www.paralution.com/two-papers-on-me-ilu-preconditioners/feed/ 0 PARALUTION at GTC 2014, 27th March, San Jose https://www.paralution.com/paralution-at-gtc-2014-27th-march-san-jose/ https://www.paralution.com/paralution-at-gtc-2014-27th-march-san-jose/#comments Mon, 17 Mar 2014 14:59:15 +0000 https://www.paralution.com/?p=690 We will present our current development in direction of MPI and multi-GPU support at the GTC conference in San Jose.

http://registration.gputechconf.com/quicklink/gf0AvNc

 

]]> https://www.paralution.com/paralution-at-gtc-2014-27th-march-san-jose/feed/ 0 PARALUTION at SC13, 20th Nov, Denver, USA https://www.paralution.com/paralution-at-sc13/ https://www.paralution.com/paralution-at-sc13/#comments Wed, 23 Oct 2013 08:00:27 +0000 https://www.paralution.com/?p=536 http://www.nvidia.com/content/events/sc13/pdf/SC13-theater-schedule-oct17.pdf

The talk has been recorded and it is available on http://www.ustream.tv/recorded/40952552

]]> https://www.paralution.com/paralution-at-sc13/feed/ 0 PARALUTION is listed as a GPU-Accelerated Library on NVIDIA’s webpage https://www.paralution.com/paralution-gpu-accelerated-lib/ https://www.paralution.com/paralution-gpu-accelerated-lib/#comments Thu, 03 Oct 2013 11:25:56 +0000 https://www.paralution.com/?p=518 https://developer.nvidia.com/gpu-accelerated-libraries

https://developer.nvidia.com/paralution

 

]]> https://www.paralution.com/paralution-gpu-accelerated-lib/feed/ 0 PARALUTION at OpenFOAM Meeting (NL) Sept 17, 2013 https://www.paralution.com/paralution-openfoam-meeting-nl-sept-17-2013/ https://www.paralution.com/paralution-openfoam-meeting-nl-sept-17-2013/#comments Thu, 04 Jul 2013 08:39:51 +0000 https://www.paralution.com/?p=430 “Fine-grained parallel iterative solvers in OpenFOAM – utilizing multi-core and GPU devices with PARALUTION”

More information on the OpenFOAM (NL) group page or Delft TU / Seminar
]]> https://www.paralution.com/paralution-openfoam-meeting-nl-sept-17-2013/feed/ 0