Search Results for "compute"
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Showing 46 open source projects for "compute"
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Karpenter
Kubernetes Node Autoscaling: built for flexibility, and performance
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Karpenter responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads on a variety of available compute resource capacities. ... -
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Ubicloud
Open source alternative to AWS. Elastic compute, block storage
Ubicloud is an open-source cloud platform that aims to provide a decentralized alternative to traditional hyperscale cloud providers. It focuses on building a federated network of providers where individuals and organizations can contribute infrastructure and offer compute, storage, and networking resources. Ubicloud emphasizes transparency and openness: APIs, orchestration, and management layers are open, enabling users to audit and customize their infrastructure instead of relying on proprietary platforms. The system is designed to run workloads in a multi-tenant fashion, providing container and VM orchestration, security isolation, and billing mechanisms. ... -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
...AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. You can build higher-level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster. -
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Firecracker
Secure and fast microVMs for serverless computing
Firecracker is an open-source virtualization technology developed by AWS for deploying secure micro-VMs (microVMs) that offer strong isolation with minimal overhead. Designed for serverless workloads (e.g., AWS Lambda, Fargate), it combines VM-level security with container-like performance and startup speed. -
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Cloud Storage FUSE
A user-space file system for interacting with Google Cloud Storage
...It supports performance optimizations like file caching, which stores frequently accessed data on local storage to significantly improve throughput and reduce latency. The system integrates with cloud-native environments such as Kubernetes and can be used in distributed architectures where multiple compute nodes access shared datasets. -
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NATS
Server for NATS.io, the cloud and edge native messaging system
...With the ability to process millions of messages a second per server, you’ll find unparalleled efficiency with NATS. Save money by minimizing cloud costs with reduced compute and network usage for streams, services, and eventing. NATS self-heals and can scale up, down, or handle topology changes anytime with zero downtime to your system. Clients require zero awareness of NATS topology allowing you future proof your system to meet your needs of today and tomorrow. -
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EPLB
Expert Parallelism Load Balancer
...The logic is implemented in eplb.py and supports predicting placements given estimated expert usage weights. EPLB aims to reduce hot-spotting and ensure more uniform usage of compute resources in large MoE deployments. -
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Alluxio
Open Source Data Orchestration for the Cloud
...It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
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cuDF
GPU DataFrame Library
...The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. -
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UNICORE
UNiform Interface to COmputing and data REsources
UNICORE is a software suite for building federated systems, providing secure and seamless access to heterogeneous resource such as compute clusters and file systems. UNICORE deals with authentication, user mapping and authorization, and provides a comprehensive set of RESTful APIs for HPC access and workflows. Contributors: visit https://github.com/UNICORE-EU -
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GCMT
Gentoo Cluster Managment Tools
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. -
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Raspberry Pi GCC Toolchains
CI maintained precompiled GCC ARM/ARM64 Toolchains for Raspberry Pi
This project provides latest Raspberry Pi hardware optimized GCC Cross Compiler & Native (ARM & ARM64) automated Build-Scripts and Precompiled standalone Toolchains binaries, that will save you tons of time & thereby helps you get quickly started with software development on Pi. -
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...You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple computers together to make a cluster. The frontend node (either a real computer or a virtual machine) boots from the image. The compute nodes boot by PXE, using the frontend node as the server. All of the nodes of the cluster get their filesystems from the same image, so it is guaranteed that all nodes run the the same software. Packages can be added to all nodes using apt-get, thanks to aufs. The bootable image is created by running a single script, which takes advantage of the Debian Live infrastructure.
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UniSIMD-assembler
SIMD macro assembler unified for ARM, MIPS, PPC and x86
UniSIMD assembler is a high-level C/C++ macro assembler framework unified across ARM, MIPS, POWER and x86 architectures. It establishes a subset of both BASE and SIMD instruction sets with clearly defined common API, so that application logic can be written and maintained in one place without code replication. The assembler itself isn't a separate tool, but rather a collection of C/C++ header files, which applications need to include directly in order to use. At present, Intel... -
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CompareDir
Tool to Compare 2 directories and handle the files.
...Or click "All" = show all files in both directories. Or click "Eq" = show file only the files that are the same. Note the program cheqs FileName, FileSize, FileDate and (sub)directory. It does not compute md5 sums because that would make it extremely slow. Mind you i use this regular for directories with 2000 photos. Based on Python, pygobject and gtk3. + Python-pillow if you want to compare 2 images. No installation: untar -xvzf CompareDir.tgz where you want and run. -
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GPCS4
A work-in-progress PlayStation 4 emulator
...A project done for fun, and for technical research. The only reason I have started this project is for learning 3D graphics. It's not intended to become a serious application. Support simple compute shader, compute ring, cube maps. For more details you could join our discord server to contact me, or if you are used to Tencent QQ/TIM, just join our group. There you can get more resources which are useful for contributing. To run or develop GPCS4, a CPU supporting AVX instruction set as well as a graphics card supporting Vulkan 1.3 are required. -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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FreeRTOS AWS Reference Integrations
IoT operating system for microcontrollers.
...A microcontroller contains a simple, resource-constrained processor that can be found in many devices, including appliances, sensors, fitness trackers, industrial automation, and automobiles. Many of these small devices can benefit from connecting to the cloud or locally to other devices, but have limited compute power and memory capacity. -
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xcks
Calculates or verifies XCKS and ZXCKS checksums' files
...It is able to read and write XCKS and ZXCKS checksums' files. xcks comes with libxcks which can be used independently of xcks. libxcks is a C++17 library. It can compute checkums, read and write XCKS and ZXCKS checksums' files. xcks is licensed under GPLv3+. libxcks is licensed under LGPLv3+. -
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RT Schedule
A realtime-schedule generator for educational purposes
RT Schedule is a realtime-schedule generator to create and present simple and idealised RT schedules from task lists. The purpose is to compute the basic properties of a task set and create a schedule using the rate monotonic (RM), earliest deadline first (EDF) and least laxity first (LLF) algorithms. The program uses simple, idealised systems, since students must be able to schedule them manually. RT Schedule computes the data and generates clear graphs for lecture notes and exams. -
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progrep
Utility to show live progress, status & stats for running simulations
progrep is a command-line tool (Linux) to show live progress report, status & stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. -
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...Download pages, repositories, tickets and wiki have been moved to https://github.com/oss-tsukuba/ Download: gfarm: https://github.com/oss-tsukuba/gfarm/releases gfarm2fs: https://github.com/oss-tsukuba/gfarm2fs/releases and more: https://github.com/oss-tsukuba/gfarm/wiki#download Repositories: gfarm: https://github.com/oss-tsukuba/gfarm gfarm2fs: https://github.com/oss-tsukuba/gfarm2fs and more: https://github.com/orgs/oss-tsukuba/repositories Tickets: gfarm: https://github.com/oss-tsukuba/gfarm/issues gfarm2fs: https://github.com/oss-tsukuba/gfarm2fs/issues Wiki: https://github.com/oss-tsukuba/gfarm/wiki Gfarm file system is a network shared file system that supports scalable I/O performance in distributed environment. It can federate local disks of network-connected PCs and compute nodes in several clusters.
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse patterns to scale better. The repo implements both blocksparse and blockwise convolution/transpose-convolution primitives, with support for preparing, executing, and verifying those ops on NVIDIA GPUs. ... -
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Manage node sets, node groups and execute commands on cluster nodes in parallel. Provides an event-based Python library to improve administration of large compute clusters or server farms. Command line tools: clush and nodeset included.
