Fluid Numerics, LLC
@gpuhackathon
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Trouble building HDF5 with vendor compilers ? We've got it down with the PGI compilers. https://t.co/2gCuPfncFq
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It turns out FortranCL is a viable option for fortran programmers looking for portability in their #GPU accelerated #Fortran code. https://t.co/4JC5qm1tcH Learn how to work with FortranCL at the @AMD sponsored Santa Fe #GPUHackathon. Apply today ! https://t.co/eaHdt8x89g
github.com
FortranCL: a Fortran 90 interface for OpenCL. Contribute to xavierandrade/fortrancl development by creating an account on GitHub.
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Just one week left to get your applications in for the 2018 Santa Fe #GPUHackathon. There will be a #freemonitor giveaway at this hackathon ! Apply today and accelerate your software application with experts from @AMD, universities, and national labs. https://t.co/eaHdt8x89g
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Come to the Santa Fe GPU Hackathon to interact directly with ROCm experts from AMD and work on outfitting your application with ROCm tools ! https://t.co/eaHdt8x89g
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Learn how to make use of the ROCm platform to accelerate your #DeepLearning applications at the Santa Fe #GPUHackathon. Apply today to save a spot for your developer team ! https://t.co/95Q3IzxYOa
https://t.co/mRymeQz3US
github.com
ROCm Software Platform Repository. ROCm Software Platform has 9 repositories available. Follow their code on GitHub.
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This is huge! I finally should be able to start using @TensorFlow on my iMac with Radeon GPU.
AMD have released a build of TensorFlow 1.8 with GPU support via ROCm
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At #GoogleNext18, Google announced it is making NVIDIA Tesla P4 #GPUs available as a #cloud service, enabling more businesses to get started with #AI projects quickly. @CIOonline
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Groups interested in learning how to use the hcc compiler and GPU offloading in OpenMP 4.5 should come out to the Santa Fe GPU Hackathon.
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Keep an eye open for the support on GPU offloading with OpenMP in the hcc compiler. https://t.co/KymtOwo3xg
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#GPU Hackathons offer one week of hands-on coding alongside expert programmers to train developers in GPU accelerated #HPC software development. Take a look at what teams did at the 2018 Boulder GPU Hackathon, sponsored by @nvidia and @googlecloud. https://t.co/53G8GAv5yS
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We partnered with @CoolerMaster and @ViewSonic to power the #InceptionProject, a massive water-cooled PC display built by Taiwan's most talented PC experts with Ryzen and Radeon technology. Check it out!
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Are you looking to enhance the portability of your #GPU accelerated software ? Come learn how to make use of the ROCm/MIOpen platform from @AMD at the Santa Fe #gpuhackathon Apply online at
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The Brookhaven National Lab #GPU Hackathon application deadline is coming up this weekend (June 30) ! #Scientists and #researchers at all experience and career levels interested in accelerating their #HPC application with GPUs should apply ! https://t.co/EoSJpOue7L
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A nice short article on OpenMP 4.5 and the support for #GPU Offloading with the IBM compiler. This standard is meant to help us write maintainable code for targeting multiple parallel platforms as we head towards #Exascale platforms. https://t.co/JkL0CJGik3
openmp.org
OpenMP Accelerator Support for GPUs A contributed article by Kelvin Li, an advisory software developer at the IBM Toronto Lab. In the past decades, we see that the increase in CPU speed is slowing...
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Hey #GPU programmers, #HPC developers, and #researchers ! The Brookhaven National Lab GPU Hackathon ( Brookathon ) is coming up September 17-21. The application deadline is June 30 ! No prior GPU experience required. Apply today ! https://t.co/EoSJpOue7L
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With the Boulder GPU Hackathon just finished, we are already planning our next hackathon ! This hackathon will be in Santa Fe, NM. Team applications are currently open ! https://t.co/mRymeQz3US
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Compute Engine's sole-tenant nodes are “designed for use cases such a regulatory or compliance where you require full control of the underlying physical machine." More via @TechCrunch
techcrunch.com
One of the characteristics of cloud computing is that when you launch a virtual machine, it gets distributed wherever it makes the most sense for the
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