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About

Luminal is a machine-learning framework built for speed, simplicity, and composability, focusing on static graphs and compiler-based optimization to deliver high performance even for complex neural networks. It compiles models into minimal “primops” (only 12 primitive operations) and then applies compiler passes to replace those with device-specific optimized kernels, enabling efficient execution on GPU or other backends. It supports modules (building blocks of networks with a standard forward API) and the GraphTensor interface (typed tensors and graphs at compile time) for model definition and execution. Luminal’s core remains intentionally small and hackable, with extensibility via external compilers for datatypes, devices, training, quantization, and more. Quick-start guidance shows how to clone the repo, build a “Hello World” example, or run a larger model like LLaMA 3 using GPU features.

About

Distcc is a distributed compilation system that accelerates C, C++, Objective-C, and Fortran builds by offloading compile jobs across multiple networked machines. It integrates seamlessly with GCC and Clang toolchains, transparently intercepting compiler calls and redistributing them to remote daemons while preserving optimization flags, include paths, and dependency tracking. Its client-server architecture features a lightweight listener that manages job queues, prioritizes local compilation when needed, and automatically detects available hosts via simple configuration or DNS. Distcc supports cross-compilation environments, SSH tunneling for secure clusters, blacklisting of unreliable servers, and integration with build systems like Make, CMake and Ninja. Monitoring tools provide real-time statistics on job distribution and throughput, and compatibility with compilation databases (compdb) enables granular control over distributed workloads.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

ML infrastructure engineers and researchers seeking a tool offering a deployment framework for GPUs or heterogeneous devices

Audience

DevOps professionals wanting a solution to speed up large codebase compilations by leveraging idle compute resources across their network

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Luminal
United States
luminalai.com

Company Information

distcc
Founded: 2002
United States
www.distcc.org

Alternatives

Alternatives

Deci

Deci

Deci AI
Zig

Zig

Zig Software Foundation
OpenMake Meister

OpenMake Meister

OpenMake Software

Categories

Categories

Integrations

C
C++
Fortran
Hugging Face
Llama 3
Make
Objective-C

Integrations

C
C++
Fortran
Hugging Face
Llama 3
Make
Objective-C
Claim Luminal and update features and information
Claim Luminal and update features and information
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Claim distcc and update features and information