Search Results for "parallel-sudoku-solver" - Page 20
Sort By:
Showing 2100 open source projects for "parallel-sudoku-solver"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
WeldForm
Weakly-Compressible SPH Parallel Solver for Thermo Mechanical problems
WeldForm SPH is a CPU based Smooth Particle Hydrodynamics solver applied to high deformation model metal forming and processes. Windows Binaries: https://sourceforge.net/projects/weldform/files/ GPU Version is under development here Has been adapted to work on both Linux and Windows system (both on MinGW and MSVC compilers). -
2
Evals
Evals is a framework for evaluating LLMs and LLM systems
...It’s designed to let you define “evals” (evaluation tasks) in a structured way and run them against different models or agents, with the ability to score, compare, and analyze results. The framework supports templated YAML eval definitions, solver-based evaluations, custom metrics, and composition of multi-step evaluations. It includes utilities and APIs to plug in completion functions, manage prompts, wrap retries or error handling, and register new evaluation types. It also maintains a growing registry of standard benchmarks or “evals” that users can reuse (for example, tasks measuring reasoning, factual accuracy, or chain-of-thought capabilities). ... -
3
TomoJ
ImageJ plugin to perform Electron Tomography
TomoJ is an ImageJ plug-in for tomographic reconstruction. It was designed for electron tomography, however any acquisition with parallel beam should work. TomoJ proposes the preprocessing and the registration of tilt-series prior to 3D reconstructions (WBP, ART, SIRT, OS-SART, compressed sensing). TomoJ is written in Java, the computations are multithreaded and reconstruction can be performed on CPU or GPU (OpenCL). registration is described in: Journal of Structural Biology: X. 2020, Volume 4. ... -
4
Promise Fun
Promise packages, patterns, chat, and tutorials
Promise Fun is a curated reference collection centered on JavaScript promises, asynchronous patterns, and related utility packages. It serves as an index to numerous focused modules created for common promise-based programming tasks. The collection includes tools for concurrency control, mapping, queues, retries, delays, timeouts, debouncing, throttling, filtering, and asynchronous iteration. Its documentation also explains practical patterns for solving recurring asynchronous programming... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
Ultralight
Lightweight, high-performance HTML renderer for game developers
...Official API for C and C++, with bindings for more. Render web-content on the GPU via Direct3D, Metal, OpenGL, or your own engine for unmatched visual performance. Render web-content on the CPU via SIMD/parallel for incredibly easy integration with any environment (including server-side!). Ultralight is engineered for peak performance, ensuring minimal CPU and memory usage. Customize low-level platform functionality, integrate JavaScript directly with native code, dive deep into performance tuning, and more. Built for maximum portability, optimized for PCs, game consoles, TVs, and embedded systems. -
6
Sudoku Explainer
Sudoku Explainer Java (Swing) GUI explains how to solve Sudokus
Keith Corlett's open-source Sudoku Explainer explains ANY Sudoku puzzle, and generates human puzzles. It's a Java (Swing) GUI based on DIUF Sudoku Explainer by Nicolas Juillerat (rewritten for speed) with all hinters from HoDoKu by Bernhard Hobiger, plus a few from sudopedia.com. SE explains a simplest possible solution to ANY Sudoku puzzle. It's pretty fast. -
7
Monsputer project
Documentation for the Z80 monsputer
The Monsputer is a Z80 computer developped with old chips (and some new) collected over the years. It has about 2M memory, clocks at 4.0MHz, has serial ports, 1 parallel port, 1 CAN bus, 2 SPI, 1 I2C, a RTC and other features. It supports interrupts mode 2 but not DMA. -
8
Realtime Ethernet Driver extension for Cadence MACB/GEM Ethernet Controller driver and Xilinx Axi Ethernet device driver. * The driver can be used parallel to the Linux Network stack. * In combination with the Linux RT-patch, a reaction time from less that 100 µs can be reached. Example: eth0 interface can be used be linux stack and by realtime application. If a realtime application open the device "/dev/eth0_rt" the linux stack is disabled and on device close the linux stack is re-enabled.
-
9
TFT_eSPI
Arduino and PlatformIO IDE compatible TFT library
...The library can be loaded using the Arduino IDE's Library Manager. Direct Memory Access (DMA) can be used with the ESP32, RP2040, and STM32 processors to improve rendering performance. "Four wire" SPI and 8 bit parallel interfaces are supported. Due to the lack of GPIO pins, the 8-bit parallel interface is NOT supported on the ESP8266. 8 bit parallel interface TFTs (e.g. UNO format mcufriend shields) can use with the STM32 Nucleo 64/144 range or the UNO format ESP32. ILI9341 and ST7796 SPI-based displays are recommended as starting points for experimenting with this library. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
10
higgsfield
Fault-tolerant, highly scalable GPU orchestration
Higgsfield is an open-source, fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs). -
11
LocustDB
Massively parallel, high performance analytics database
An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. When loading .csv or .csv.gz files... -
12
Django friendly finite state machine
Django friendly finite state machine support
Django-fsm adds simple declarative state management for Django models. If you need parallel task execution, view, and background task code reuse over different flows - check my new project Django-view flow. Instead of adding a state field to a Django model and managing its values by hand, you use FSMField and mark model methods with the transition decorator. These methods could contain side effects of the state change. -
13
octelec - Electronics calculations
Electronics calculations in GNU Octave
...Select resistor or capacitor values from E3 to E192 series, convert two-port parameter sets, calculate operational characteristics (voltage gain, current gain, input impedance, output impedance) for two-port circuits connected to generator and load impedance, convert ratio to dB and vice versa, calculate parallel impedances, and round values to a number of significant leading digits. -
14
protoactor-go
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
...The Actor Model provides a higher level of abstraction for writing concurrent and distributed systems. It alleviates the developer from having to deal with explicit locking and thread management, making it easier to write correct concurrent and parallel systems. Grain abstraction, which provides a straightforward approach to building distributed interactive applications, without the need to learn complex programming patterns for handling concurrency, fault tolerance, and resource management. This allows Proto.Actor to leverage in-process performance for realtime stream processing. -
15
Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor... -
16
DPM-Solver
Fast ODE Solver for Diffusion Probabilistic Model Sampling
...The project introduces a specialized numerical solver designed to approximate the diffusion process using a small number of high-order integration steps. By reformulating the sampling problem as the solution of a diffusion-related ordinary differential equation, the solver can produce high-quality samples much more efficiently. This approach significantly reduces the computational cost required to generate images while maintaining strong generation quality. -
17
OneFlow
OneFlow is a deep learning framework designed to be user-friendly
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous... -
18
...(Disclaimer: Processing time depends on compute hardware) Typical processing time for 100mb .las is about 2 seconds. 25mb .laz file process in about the same times. Files are processed in parallel using available CPU cores. Pre-built Windows x64 installer available at https://buymeacoffee.com/nathancrews/e/255641
-
19
Parallel WaveGAN
Unofficial Parallel WaveGAN
Parallel WaveGAN is an unofficial PyTorch implementation of several state-of-the-art non-autoregressive neural vocoders, centered on Parallel WaveGAN but also including MelGAN, Multiband-MelGAN, HiFi-GAN, and StyleMelGAN. Its main goal is to provide a real-time neural vocoder that can turn mel spectrograms into high-quality speech audio efficiently. -
20
Protocol tool
Hexadecimal strings test tool
This is a software/hardware development tool that allows the user to send strings on an interface (parallel,serial, network or other), specified in hexadecimal or strings or a combination of these. The strings can be retrieved/stored from/to a file. -
21
CAMPARI
Software for molecular simulations and trajectory analysis
We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and... -
22
hash_val_4_Bloom
search for hash values used in Bloom filter for QNR membership
FenderBender -- on MersenneForum.org "Determine Squares" -- came up with using Bloom filter to detect Quadratic non-residues modulo small primes in order to reject what inputs are certainly not square roots. This reduces, by > 99%, the amount of actual square root calc's done and therefore is more efficient and faster. Search fur 32-bit vs 64-bit, hash values that make "perfect" Bloom filter. Variety of (simple) hash functions, requiring 2, 3, 4 or 5 hash values. Hideously vast search... -
23
iX
Autonomous GPT-4 agent platform
...IX provides a flexible and scalable solution for delegating tasks to AI-powered agents. Agents created with the platform can automate a wide variety of tasks while running in parallel and communicating with each other. -
24
SGE_GPU
Patch to SGE 2011.p1,Son of Grid Engine, multiple GPU, Linux
...Also, you need to set a consumable, named "ngpus". And assign value of it to each node. When submit GPU job, run: >qsub -l ngpus=1 ... This also works for parallel jobs. >qsub -pe openmpi 4 -l ngpus=1 ... Here, "-l ngpus=1" request 1 GPU for 1 process. It supports multiple GPU scheduling on nodes as well. For example, if node001 has 4 GPUs installed. JobA uses GPU0, JobB uses GPU2, and then JobC requestes 2 GPUs, it can dispatch GPU1 and GPU3 to JobC, and set the environment for the job on node001: CUDA_VISIBLE_DEVICES=1,3 For non-GPU jobs, it is set to empty. ... -
25
IntegreSQL
IntegreSQL manages isolated PostgreSQL databases for your integration
IntegreSQL is a PostgreSQL clone provisioning tool that helps with testing by instantly spinning up database copies from a base template. It’s designed for integration tests where speed and data isolation are critical. IntegreSQL eliminates setup time and ensures a consistent database state across test runs.
