Search Results for "compute"

Databend is an open source cloud-native data warehouse designed for large-scale analytics and modern data workloads. Built in Rust, the system focuses on high performance, scalability, and efficient data processing for analytical queries. It is designed with a separation of compute and storage, allowing compute nodes to scale independently while storing data in object storage systems. This architecture enables cost-efficient storage and elastic scaling for workloads that involve large datasets and complex queries. Databend provides a unified engine capable of handling analytics, vector search, and full-text search within a single platform. ...

...It supports a wide range of AI tasks including text generation, speech-to-text, vision processing, and retrieval-augmented workflows through a unified API interface. A notable feature of Cactus is its hybrid execution model, which can dynamically route tasks between on-device processing and cloud services when additional compute is required.

...It abstracts much of the complexity involved in running diffusion models by offering a structured environment for handling prompts, outputs, and processing queues. StableSwarmUI is built to work alongside backend systems that execute the actual image generation, allowing separation between user interaction and compute workloads. It also emphasizes scalability, making it useful for setups where multiple jobs need to be processed efficiently. Overall, it serves as a coordination layer for Stable Diffusion usage rather than a standalone model implementation.

A collection of bash scripts to manage Gentoo System Images (GSIs), compute nodes, file servers and users on a Gentoo-based HPC cluster. GCMT works with PXE boot, dhcp, tftp, qmail, djbdns and tinydns, NIS, NFS, and TORQUE.

This repository provided a pre-release of TensorFlow and TensorFlow Addons tailored for macOS 11+ with native hardware acceleration via Apple’s ML Compute, supporting both Apple Silicon (M1) and Intel Macs. It shipped ready-made Python 3.8 wheels and install scripts so developers could quickly get an accelerated stack running without building from source. As TensorFlow added a Metal PluggableDevice path, the project directed users toward using Apple’s tensorflow-metal to get GPU acceleration on Mac directly through Metal. ...

Forked Ubuntu 14.04 minimal install with XOrg and FluxBox desktop environment for web-based pipeline construction and job submission. HOWTO: 1) Set VM network settings to a bridged adapter type. 2) Load VM to client 3) From host: $ ssh -X ubuntu@<foobar> 'firefox && butterfly.server.py --unsecure' --- passwd = 616287xx 5) or ssh into host with X forwarding, and type runme This will launch an X-session of Firefox on the client, which will then be forwarded to the host. The...

Cbench is intended as a relatively straightforward toolbox of tests, benchmarks, applications, utilities, and framework to hold them together with the goal to facilitate scalable testing, benchmarking, and analysis of a Linux parallel compute cluster.

Tuda-rsync_install is a initrd image containing scripts to partition and rsync a rootfs to compute, or other nodes. A fast, easy and flexible solution not only for HPC systems, although it has been developed for that purpose.

...Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file (e.g., proportion of character/numeric values, min/mean/median/max, missing values, correlation with a target column). * tbljoin: Relational join without the need of pre-sorting and column matching. * ... ...

This application allows to generate graphics from data file in table format and a graphical configuration file XML..

Cbench is intended to be a relatively straightforward collection of tests, benchmarks, applications, utilities, and framework to hold them together with the goal to facilitate scalable testing and benchmarking of a Linux parallel compute cluster.

A set of documentation and scripts to install, configure, and manage the open-source darwin OS for use in a compute cluster environment.

Designed to allow quick setup of powerful NOW-based clusters to run compute-intensive applications. Applications do not have to be designed specially for these clusters to benefit.

...trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. Among trimAl’s additional features, trimAl allows getting the complementary alignment (columns that were trimmed), to compute statistics from the alignment, to select the output file format , to get a summary of trimAl’s trimming in HTML and SVG formats, and many other options.