Search Results for "parallel computing datamaning"
Sort By:
Showing 7 open source projects for "parallel computing datamaning"
View related business solutions-
Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
-
Managed MySQL, PostgreSQL, and SQL Databases on Google CloudCloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
-
1
ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. ... -
2
Octave Forge
A collection of packages providing extra functionality for GNU Octave
Octave Forge is a central location for collaborative development of packages for GNU Octave. The Octave Forge packages expand Octave's core functionality by providing field specific features via Octave's package system. See https://octave.sourceforge.io/packages.php for a list of all available packages. GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and... -
3
Distributed Video Transcoding
Distributed Video Transcoding
Simple Scalable, Parallel, Multi-bitrate Video Transcoding On Centos / Ubuntu / Suse / RedHat (Bash Scripts) Multi-bitrate Video processing requires lots of computing power and time to process full movie. There are different open source video transcoding and processing tools freely available in Linux, like libav-tools, ffmpeg, mencoder, and handbrake. -
4
FlowVR is an open source middleware tailored for high performance in situ data processing and analytics running on large parallel machines
-
Go from Data Warehouse to Data and AI platform with BigQueryBigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
-
5
Equalizer is the standard middleware to create parallel OpenGL-based applications. Please visit https://github.com/Eyescale for current development information.
-
6
Shared Questionnaire System(SQS) is a full-functional Optical Mark Reader(OMR) form processing system implemented in Java-Swing, XSL-FO and AJAX with straightforward GUIs. It is aimed at developing social platform to share knowledge about questionnaire.
-
7
Brook is an ANSI C like general purpose stream programming language and is designed to incorporate the ideas of data parallel computing and arithmetic intensity into a familiar, efficient language. Has OpenMP CPU, OpenGL, DirectX 9 and AMD CTM backends.
- Previous
- You're on page 1
- Next
