scope
AMDGPU.jl
| scope | AMDGPU.jl | |
|---|---|---|
| 4 | 6 | |
| 5,818 | 265 | |
| 0.1% | 0.4% | |
| 0.0 | 9.0 | |
| 10 months ago | 9 days ago | |
| Go | Julia | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scope
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Best Freeish diagraming software for Docker Swarms and their networks.
You can always try weave scope, it'll map out your swarm for you. I've not used it for some time, but it was cool when I did.
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IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl
Weave Scope
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Interactive Architecture Diagrams
There are products that will introspect a k8s cluster and give a diagram like: https://www.weave.works/oss/scope/
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Kubernetes Security Checklist 2021
Build observability and visibility processes in order to understand what is happening in infrastructure and services (Luntry, WaveScope)
AMDGPU.jl
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Why is AMD leaving ML to nVidia?
For myself, I use Julia to write my own software (that is run on AMD supercomputer) on Fedora system, using 6800XT. For my experience, everything worked nicely. To install you need to install rocm-opencl package with dnf, AMD Julia package (AMDGPU.jl), add yourself to video group and you are good to go. Also, Julia's KernelAbstractions.jl is a good to have, when writing portable code.
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[GUIDE] How to install ROCm for GPU Julia programming via Distrobox
The Julia package AMDGPU.jl provides a Julia interface for AMD GPU (ROCm) programming. As they say, the package is being developed for Julia 1.7, 1.9 and above, but not 1.8. Therefore I downloaded the Julia binary of version 1.7.3 from the older releases Julia page.
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First True Exascale Supercomputer
This is exciting news! What's also exciting is that it's not just C++ that can run on this supercomputer; there is also good (currently unofficial) support for programming those GPUs from Julia, via the AMDGPU.jl library (note: I am the author/maintainer of this library). Some of our users have been able to run AMDGPU.jl's testsuite on the Crusher test system (which is an attached testing system with the same hardware configuration as Frontier), as well as their own domain-specific programs that use AMDGPU.jl.
What's nice about programming GPUs in Julia is that you can write code once and execute it on multiple kinds of GPUs, with excellent performance. The KernelAbstractions.jl library makes this possible for compute kernels by acting as a frontend to AMDGPU.jl, CUDA.jl, and soon Metal.jl and oneAPI.jl, allowing a single piece of code to be portable to AMD, NVIDIA, Intel, and Apple GPUs, and also CPUs. Similarly, the GPUArrays.jl library allows the same behavior for idiomatic array operations, and will automatically dispatch calls to BLAS, FFT, RNG, linear solver, and DNN vendor-provided libraries when appropriate.
I'm personally looking forward to helping researchers get their Julia code up and running on Frontier so that we can push scientific computing to the max!
Library link: <https://github.com/JuliaGPU/AMDGPU.jl>
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IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl
GitHub - JuliaGPU/AMDGPU.jl: AMD GPU (ROCm) programming in Julia
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Cuda.jl v3.3: union types, debug info, graph APIs
https://github.com/JuliaGPU/AMDGPU.jl
https://github.com/JuliaGPU/oneAPI.jl
These are both less mature than CUDA.jl, but are in active development.
- Unified programming model for all devices – will it catch on?
What are some alternatives?
lynis - Lynis - Security auditing tool for Linux, macOS, and UNIX-based systems. Assists with compliance testing (HIPAA/ISO27001/PCI DSS) and system hardening. Agentless, and installation optional.
Vulkan.jl - Using Vulkan from Julia
falco - Cloud Native Runtime Security
oneAPI.jl - Julia support for the oneAPI programming toolkit.
k8s-device-plugin - Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster
KernelAbstractions.jl - Heterogeneous programming in Julia
Singularity - Scheduler (HTTP API and webapp) for running Mesos tasks—long running processes, one-off tasks, and scheduled jobs. #hubspot-open-source
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Kyverno - Kubernetes Native Policy Management
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
branca - :key: Secure alternative to JWT. Authenticated Encrypted API Tokens for Go.
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.