Search Results for "throughput" - Page 11
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Showing 502 open source projects for "throughput"
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
PerfKitBenchmarker is an open-source benchmarking framework designed to measure and compare the performance of cloud infrastructure across multiple providers in a consistent and reproducible way. It allows users to evaluate metrics such as latency, throughput, provisioning time, and system performance using a standardized set of benchmarks. The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile for performance analysis. It simplifies the process of running complex benchmarks by providing unified command-line workflows that handle resource provisioning, execution, and result collection. ... -
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flatend
Quickly build microservices using p2p networking in NodeJS/Go
Flatend is a fast, lightweight edge server and microservice runtime built in Go, designed for simplicity and high concurrency. It uses a decentralized service discovery model that allows nodes to communicate over UDP or QUIC with minimal setup, making it ideal for low-latency APIs and distributed systems. Flatend provides a clean developer experience and is optimized for environments where traditional service meshes or orchestration platforms are too heavy. It supports dynamic peer... -
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tera
High speed decentralized blockchain on pow consensus
We have managed to create a blockchain with 1 second block time, 8 seconds for full confirmation of transfer and zero fees. On top of that TERA blockchain is capable of throughput of 1000 transactions per second while retaining all praised blockchain features and bringing huge possibilities for further development and seamless integration with existing infrastructure as well as with new emerging technologies. -
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exchange-core
Ultra-fast matching engine written in Java based on LMAX Disruptor
Exchange-core is an open-source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. Designed for high scalability and pauseless 24/7 operation under high-load conditions and providing low-latency responses. Single order book configuration is capable to process 5M operations per second on 10-years old hardware (Intel® Xeon® X5690) with moderate latency degradation.... -
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Erlang Resource Pool
Resource Pool manages reusable resources among multiple processes.
...The goal of the tool is reduce the overhead of creating new resources by reusing of the same resources among multiple processes. Achieving result is better performance and throughput. The resource pool was inspired by Java Apache's commons pool and adopts API and main principals from this project. Database connection is most popular example for pooling resource. -
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HyLiTE
Hybrid Lineage Transcriptome Explorer
HyLiTE (Hybrid Lineage Transcriptome Explorer) analyzes high-throughput transcriptome data from allopolyploid species. Allopolyploidy describes the formation of a new hybrid organism from the union of two or more different parents. Allopolyploid species carry multiple copies of each gene (homeologs), which often exhibit unusual expression patterns. Homeolog expression levels can technically be determined from next generation sequencing data (RNA-seq), but in practice, assigning reads to one homeolog over another is extremely challenging, particularly on a whole-genome scale. ... -
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GraalVM
Run programs faster anywhere
...It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. Leverage the best features and libraries of popular languages in a single app with no overhead. ... -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
...By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. This makes it a strong fit for tasks like content filtering, entity/term spotting, dictionary-based annotation, or high-throughput log/text processing. In short, it’s a specialized, speed-focused library for industrial-strength multi-keyword matching in Java. -
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ThreadDB
File mapped memory container manager
...While memory mapping provides a powerful means of manging large volumes of data in an efficient way it has certain restrictions to be considered. One is the limited support for dynamically increasing files. There are only few really portable ways to achieve this by the cost of reduced throughput performance. Another is the limitation of the virtual address space on 32bit Systems. Here the maximum filesize may not exceed 2Gbyte. ThreadDB overcomes these limitations by loading only those portions of data in the process address space really required at a time. -
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Qiagen / Roche converter
Converts Qiagen XML-files to Roche Light CSV-Files.
...The converts the Qiagen XML file including the position and sample number to a txt file which than can be importet into the Sample Sheet of the Roche LightCycler/Cobas 480 Software. It's very convinient if you are working with microtitier plates and high-throughput Coronavirus-PCR. No instalation required. Just drop you XML file into the folder "in_qiagen" and execute the qiagen_roche.exe file. The resulting Roche-file can be found in "out_lc480". *Notice that the folder "in_qiagen" and "out_lc480" must be in the same directory as the qiagen_roche.exe file The qiagen_roche.c contains the sourcecode of the program. ... -
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nodejs-dashboard
Telemetry dashboard for node.js apps from the terminal
nodejs-dashboard is a terminal-based telemetry dashboard that provides real-time insight into Node.js application behavior during development. It overlays an interactive monitoring interface on top of a running Node process, displaying metrics such as event loop activity, memory usage, and request throughput. The tool can be injected into applications with minimal or no code changes by using Node’s preload flag, making adoption straightforward for developers. Its interface uses Unicode Braille characters to render compact graphs directly in the terminal, creating a highly responsive visual experience. nodejs-dashboard is primarily aimed at local development and debugging rather than production observability, helping engineers quickly identify performance bottlenecks. ... -
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Miaosha
Design and implementation of flash sale system
...The code showcases a typical Spring Boot stack that cleanly separates controllers, services, and persistence, making bottlenecks and optimization points easy to identify. As a study case, it provides a practical blueprint for building resilient sale/booking endpoints where fairness and correctness matter as much as raw throughput. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
...PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions, negative sampling strategies, and typed entities, making it suitable for link prediction and retrieval. Its training loop is built for throughput: asynchronous I/O, memory-mapped tensors, and lock-free updates keep GPUs and CPUs fed even at extreme scale. The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings. -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
...Complete streaming training features including feature admission, feature elimination, model incremental export, feature counting statistics, etc. Background: XDL1.0 focuses on throughput optimization and adopts the one request per thread processing model, which can significantly improve the limit throughput under ultra-high concurrency. -
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AMEN (Annotation, Mapping, Expression and Network) is a stand-alone, unified suite of tools to manage, explore and combine biological multifaceted high-throughput data such as annotation, chromosomal location, expression and interaction data.
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TSA_CRAFT
Automatic command line tool for TSA data analysis
DSF is a high-throughput platform of TSA assay to screen various conditions that affect protein stability. To facilitate TSA data analysis, we developed an automatic tool "TSA-CRAFT". TSA-CRAFT was developed by integrating PERL script and Gnuplot. PERL scripts manage the entire workflow and data processing procedures of TSA data analysis. On the other hand, Gnuplot takes over the curve fitting and result presentation works. -
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This work provides an efficient tool (QcReads) for trimming adapter sequences and low quality sequences, in raw reads generated by the high throughput sequencing platforms. This will help to make use of data sequenced from poorly constructed DNA/cDNA libraries. The mapping ratios increase remarkably after QcReads trimming. Citation: Ma, Y., Xie, H., Han, X., Irwin, D.M., and Zhang, Y.P. (2013). QcReads: an adapter and quality trimming tool for next-generation sequencing reads. ...
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PTESFinder
Post-Transcriptional Exon Shuffling (PTES) Identification Pipeline
PTESFinder is a computational pipeline for identifying Post-transcriptional Exon Shuffling events from high-throughput RNAseq data. PTESFinder leverages the power of established RNASeq tools and systematically excludes all known classes of false positive structures by applying stringent filters designed to specifically target these false positives. PTESFinder compares alignment qualities of reads mapping to putative PTES structures with qualities of the same reads when mapped to genomic regions and canonically spliced transcripts. ... -
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NetFlow/IPFIX iptables module
NetFlow iptables module for Linux kernel
ipt-netflow is high performance NetFlow exporting module for Linux kernel (up to 4.15). Designed for Linux router in high-throughput network. This is netfilter/iptables module adding support for -j NETFLOW target. Designed to work efficiently w/o conntrack. Supporting NetFlow protocols v5, v9, and IPFIX. Accounting for IPv4, IPv6 traffic, and NAT translation events (NEL). Additional options is SNMP-index translation rules, aggregation rules, Ethernet type, MPLS, VLAN, and MAC addresses exporting. -
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FHiTINGS
Fungal High-throughput Taxonomic Identification tool for use with NGS
FHiTINGS is designed for use in rapidly identifying, classifying, and parsing internal transcribed spacer (ITS) DNA sequences after a BLASTn search. This software is useful for fungal ecology studies using next generation sequencing (NGS). See our paper in the Journal of Basic Microbiology (http://onlinelibrary.wiley.com/doi/10.1002/jobm.201200507/pdf) for more information and please cite that paper if you use our program. Thank you for using FHiTINGS! Note: FHiTINGS version 1-4 has... -
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fft
A fast distributed file transfer
fft is a distributed file transfer tool designed to accelerate large file movement by coordinating multiple relay nodes in parallel rather than depending on a single server’s bandwidth ceiling. Its architecture splits a transfer into concurrent “workers” that fetch or push chunks across multiple paths, improving throughput on high-latency or bandwidth-constrained links. The project is implemented in Go and exposes a straightforward command-line interface so operators can stand up senders, receivers, and relays with minimal ceremony. Because it’s oriented around relays, it can better utilize geographically diverse infrastructure and avoid bottlenecks at any one egress point. ... -
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Scalable Distributed Deep-RL
A TensorFlow implementation of Scalable Distributed Deep-RL
Scalable Agent is the open implementation of IMPALA (Importance Weighted Actor-Learner Architectures), a highly scalable distributed reinforcement learning framework developed by Google DeepMind. IMPALA introduced a new paradigm for efficiently training agents across large-scale environments by decoupling acting and learning processes. In this architecture, multiple actor processes interact with their environments in parallel to collect trajectories, which are then asynchronously sent to a... -
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PipelineDB
High-performance time-series aggregation for PostgreSQL
PipelineDB is a PostgreSQL extension for continuous aggregation and stream processing. It allows users to define continuous queries that automatically process incoming data streams, storing results in materialized views. Designed for real-time analytics, PipelineDB extends PostgreSQL with stream-oriented features while maintaining compatibility with standard SQL and tooling. -
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The Elvira project is a suite of tools to perform high-throughput genomic assemblies of repetitive, structured samples such as viruses or targeted regions of larger genomes.
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Tera
An Internet-scale database
...Tera can easily scale to petabytes of data across thousands of commodity servers. Besides, Tera is widely used in many Baidu products with varied demands， which range from throughput-oriented applications to latency-sensitive services, including web indexing, WebPage DB, LinkBase DB, etc. Tera is the collection of many sparse, distributed, multidimensional tables. The table is indexed by a row key, column key, and a timestamp; each value in the table is an uninterpreted array of bytes. Support RAMDISK/SSD/DFS tiered cache. ...
