Search Results for "parallel-sudoku-solver" - Page 38

Python script for Recoord Project (http://www.ebi.ac.uk/msd-srv/docs/NMR/recoord/main.html). It uses Condor and Parallel Python.

A python daemon that can check the number of new emails on a IMAP account and display this number on a LED device connected to the parallel port.

MrBin collects binary files posted in your favourite newsgroups. MrBin has some powerful features: very fast multithreaded downloading, integrated support for rar, par2 and nzb files, automatic split file joining, parallel news header retrieval...

QUAFF is a C++ library for designing and running parallel code onto any MPI aware system by providing an eay to use -- yet efficient -- API based on algorithmic skeletons.

Control your Canon EOS 300/350/(400/450) over your PC via Parallel Port. With EasyEOS you can take HDR pictures in a short amount of time without touching the camera during the process of taking them.

EasyStream is a Java library that ease the task to use streams. EasyStream is a natural extension of Apache commons-io ( http://commons.apache.org/io/ ), providing advanced solutions to some common but not trivial problem. This library key points are performances, low memory footprint, reduced set of dependencies and simplicity of usage.

GAP (Grid Agents Platform) Toolkit for Modeling and Simulation of Mobile Agents in Grid Environments. GAP is an abstraction over GridSim, a Grid Simulation Toolkit for Resource Modelling and Application Scheduling for Parallel and Distributed Computing.

Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.

...Beyond coding, it can transform prompts and visual inputs into production-ready interfaces and lightweight full-stack outputs with structured layouts, interactivity, and polished visual detail. One of its most distinctive capabilities is horizontal agent scaling, supporting up to 300 sub-agents and 4,000 coordinated steps in a single run, which enables parallel task decomposition and end-to-end completion of outputs such as documents, websites, and spreadsheets. Architecturally, it uses a 1T-parameter Mixture-of-Experts design with 32B activated parameters, a MoonViT vision encoder, and a 256K context window.

Screen (or SCalable REndering ENgine) is a rendering engine based on both 3D rendering and highlty parallel algorithms. It provides powerful scripting interfaces and integrated development environment for 3D games and scientific simulations.

...It leverages Multi-head Latent Attention to compress the KV cache into latent vectors, dramatically reducing memory demand and improving inference speed at scale. The model also employs Multi-Token Prediction, enabling multi-step token generation in a single pass for up to 40% faster output through speculative and parallel decoding techniques. Its training corpus incorporates ten languages, enriched with books, academic sources, code datasets, mathematical tasks, and more than 5.5 trillion tokens of high-quality synthetic data. This combination significantly boosts reasoning, coding, and multilingual performance across modern benchmarks. Designed for high-performance deployment, GigaChat 3 Ultra supports major inference engines and offers optimized BF16 and FP8 execution paths for cluster-grade hardware.