Search Results for "throughput" - Page 7
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Showing 350 open source projects for "throughput"
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qvasp
A flexible toolkit for VASP high-through materials simulations
See the online document: https://qvasp.com/ qvasp is a material high-throughput design software based on the VASP package, which mainly includes two functions: 1. Realizing high-throughput screening of materials, qvasp program not only can realize high-throughput material structure model constructing, but also provide high-throughput raw data postprocessing toolkits. 2. Assisting users to easily generate input files and process output files, realizing rapid conversion between graphics and code, and improving work efficiency. ... -
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RSeQC
RNA-seq data QC
RSeQC provides a number of functions to evaluate the quality of RNA-seq data. http://rseqc.sourceforge.net/ -
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Iperf 2
A means to measure network responsiveness and throughput
Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.1, Nov 4th, 2024 About iperf 2 and iperf3: Read... -
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HighwayHash
Fast strong hash functions: SipHash/HighwayHash
...It’s designed to defeat hash-flooding attacks by mixing input with wide SIMD operations and a branch-free inner loop, so adversaries can’t cheaply craft many colliding keys. The implementation targets multiple CPU families with vectorized code paths while keeping a portable fallback, yielding high throughput across platforms. It exposes simple one-shot and streaming APIs, so you can hash short keys or long byte streams with the same function. Typical uses include protecting hash tables that store untrusted keys and authenticating short-lived messages or records in storage systems. Although not a replacement for collision-resistant digests like SHA-2/3, it strikes a pragmatic balance of speed, simplicity, and resistance to common abuse patterns seen in production backends. -
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GASCAP
GASCAP can evaluate adsorption in high-throughput way
...The pseudoatom and graph Voronoi diagram method are used to figure out the unequal adsorption sites from any substrates, then the coadsorption structure can be built between substrates and any adsorbates in high-throughput way. The universal machine learning interatomic potentials are used to accelerate the adsorption energy calculations, and the postprocessing toolkits contain the functions of analyzing adsorption energy, calculating work function and charge transfer. -------------------------------- Install Method -------------------------------- set environment variable in Linux system: export PATH=/public/home/yiwc/software/GASCAP/v0.6/GASCAP-v0.6:$PATH if there is any incompatibility problem, please fix them with: .... -
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Bit-Twist (Packet generator/editor)
Packet generator and packet editor for Windows, Linux, BSD, and macOS
...Bit-Twist comes with a comprehensive trace file editor to allow you to change the contents of a trace file. Bit-Twist is designed for exceptional speed, allowing you to edit 10 million packets in under 3 seconds and send them over a live network at throughput levels that match your NIC's maximum line rate, up to 10 Gbps. Bit-Twist is ideal for simulating network traffic and scenarios, testing firewalls, IDS, IPS, routers, switches, load balancers, and other network equipment, as well as troubleshooting various network issues. https://bittwist.sourceforge.io / ayeowch@gmail.com -
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
...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 lock-in, and allowing open influence on product direction. Greenplum reduces data silos by providing you with a single, scale-out environment for converging analytic and operational workloads, like streaming ingestion. All major Greenplum contributions are part of the Greenplum Database project and share the same database core, including the MPP architecture, analytical interfaces, and security capabilities. -
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oxiida
A DSL for scientific workflow construction.
`oxiida` is a workflow interpreter for building and controlling processes running on remote resources. It is opinioned on focusing at running scientific workflows in a high-throughput manner. - `oxiida` supports construct and run tasks/jobs with different timespan from seconds to months. - `oxiida` supports run tasks/jobs on local machine, cloud or HPC. - `oxiida` has native support for Workflow Definition Language (WDL). - `oxiida` as a language can embed into Python, Julia and Lua to powerup and standard your current workflow setup. -
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Fully Homomorphic Encryption
An FHE compiler for C++
...The workflow usually mirrors normal software development: write and test a cleartext implementation, run a simulator to validate logic and performance characteristics, then compile to an encrypted form to run with real FHE parameters. The project includes benchmarking harnesses, examples, and tutorials that demystify parameter selection, gate costs, and latency/throughput trade-offs. Multiple runtimes and backends are supported so teams can choose Boolean or integer schemes depending on accuracy and speed needs. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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PRPNet
A client/server application used to help in the search for primes
...PrimeGrid runs most of its smaller projects on PRPNet.. PRPNet also has the ability to test for Wieferich and Wall-Sun-Sun primes. The client can run an OpenCL application for maximum throughput. -
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DeiT (Data-efficient Image Transformers)
Official DeiT repository
...Its key idea is a specialized distillation strategy—including a learnable “distillation token”—that lets a transformer learn effectively from a CNN or transformer teacher on modest-scale datasets. The project provides compact ViT variants (Tiny/Small/Base) that achieve excellent accuracy–throughput trade-offs, making transformers practical beyond massive pretraining regimes. Training involves carefully tuned augmentations, regularization, and optimization schedules to stabilize learning and improve sample efficiency. The repo offers pretrained checkpoints, reference scripts, and ablation studies that clarify which ingredients matter most for data-efficient ViT training. -
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emqx
The Most Scalable MQTT Broker for IoT
EMQX is the world's most scalable and reliable MQTT Broker designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency. EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen and Ericsson. Flex to meet the demands of various industries towards digital transformation, including Connected Vehicles, Industrial IoT, Oil & Gas, Carrier, Finance, Smart Energy, and Smart Cities. -
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CAP Cordum Agent Protocol
The Open Standard for Secure AI Agent Orchestration.
...Core Capabilities: Universal Interoperability: - Connect agents written in any language via a unified standard. Safety Kernel: - Deterministic validation of every agent action before execution. Ultra-Low Latency: - Optimized for high-throughput agent swarms. Auditability: - Immutable tracing of all agent communications. -
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Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
...Beyond in-memory operations, it demonstrates persistence through data dump to disk and reload, turning the structure into a tiny embeddable database. Stress-test scripts and example binaries are provided so you can benchmark throughput and validate correctness on your own machine. This makes the repo valuable for learners studying database internals and for practitioners who want a starting point for an embedded KV engine or educational experiments. -
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Hiera
A fast, powerful, and simple hierarchical vision transformer
Hiera is a hierarchical vision transformer designed to be fast, simple, and strong across image and video recognition tasks. The core idea is to use straightforward hierarchical attention with a minimal set of architectural “bells and whistles,” achieving competitive or superior accuracy while being markedly faster at inference and often faster to train. The repository provides installation options (from source or Torch Hub), a model zoo with pre-trained checkpoints, and code for evaluation... -
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Kindling
eBPF-based Cloud Native Monitoring Tool
...Besides trace profiling, Kindling provides an easy way to get an overview of network flows in the Kubernetes environment and many built-in network monitor dashboards like TCP retransmit, DNS, throughput, and TPS. Not only as a network monitor, but Kindling is also trying to analyze one detail RPC call and get the following information, which can be found in network Explore in Chrome. The usage is the same as network exploration in Chrome, with which users can tell which part to dig into to find the root cause of the problem in the production environment. -
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NGSEP
NGSEP (Next Generation Sequencing Experience Platform)
NGSEP is an integrated framework for analysis of short and long DNA high throughput sequencing reads. The current version provides functionalities for both de-novo and reference guided analysis of sequencing data, including genome assembly, read mapping, variants detection and genotyping and de-novo analysis of data generated from reduced representation protocols. NGSEP also provides modules for analysis of genomic variation databases (VCF files), including functional annotation, filtering, format conversion, comparison, clustering, imputation, introgression analysis and different kinds of statistics. ... -
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Emitter
High performance, distributed, low latency publish-subscribe platform
...Designed to ensure reliable, speed-of-light message delivery and high throughput. Supports TLS encryption, binary messages, expirable channel keys and permissions. -
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TensorHouse
A collection of reference Jupyter notebooks and demo AI/ML application
TensorHouse is a scalable reinforcement learning (RL) platform that focuses on high-throughput experience generation and distributed training. It is designed to efficiently train agents across multiple environments and compute resources. TensorHouse enables flexible experiment management, making it suitable for large-scale RL experiments in both research and applied settings. -
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DBD2
A multi-threaded, multi-database tcp-based database insertion app.
DBD2 inserts database records from TCP input. It is a companion project to Syslgod2 and an application in its own right. It ships with a backgrounding client for generic use. The client sends whatever information the user puts on the command-line to the back-end daemon via TCP. Upon successful transmission, the client exits. On failure, it backs off and retries until its life-time timer expires. The back-end daemon accepts data from Syslogd2 or its own client and inserts that data... -
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SageMaker TensorFlow
SageMaker specific extensions to TensorFlow
...Please make sure to checkout the branch of sagemaker-tensorflow-extensions that matches your TensorFlow version. SageMaker Pipe Mode is a mechanism for providing S3 data to a training job via Linux fifos. Training programs can read from the fifo and get high-throughput data transfer from S3, without managing the S3 access in the program itself. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
...The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. ... -
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Zoekt
Fast trigram based code search
zoekt is a fast, scalable code search engine written in Go that builds compressed indexes (shards) for source repositories and serves low-latency regex and substring queries. It optimizes for developer workflows: refresh indexes from Git, search across many repos instantly, and jump into hits with surrounding context and file navigation. The indexer uses efficient n-gram dictionaries and posting lists to keep query latency low, while storing metadata (branch, language, repo) for precise... -
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Punica
Serving multiple LoRA finetuned LLM as one
...The system includes specialized CUDA kernels that enable batched GPU operations across different LoRA models simultaneously. This design allows a single GPU cluster to host many task-specific models while maintaining high throughput and minimal latency. The architecture also includes scheduling mechanisms that coordinate requests from multiple tenants and distribute workloads efficiently across available resources. -
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Apache Pegasus
A consistent and high-performance key-value store
A distributed key-value store optimized for low-latency and high-throughput applications, developed by Apache Incubator.
