Search Results for "distributed shared memory" - Page 7
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Showing 326 open source projects for "distributed shared memory"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Aurae
Distributed systems runtime daemon written in Rust
Aurae is on a mission to be the most loved and effective way of managing workloads on a node. Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and enterprise workload isolation techniques, the Aurae open-source project can complement higher-order schedulers and control planes (such as Kubernetes) as Aurae supports the usage of multi-tenant workloads and enterprise identities all the way down to the socket layer. -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. -
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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library is written in C++ with using STL functionality and based on the ZIP library (included), which has a free license: http://www.codeproject.com/Articles/7530/Zip-Utils-clean-elegant-simple-C-Win32 This library is distributed under the terms of the zlib license: http://www.zlib.net/zlib_license.html -
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FairScale
PyTorch extensions for high performance and large scale training
...It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. ... -
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SnappyData
Memory optimized analytics database, based on Apache Spark
SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. -
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FiloDB
Distributed Prometheus time series database
FiloDB is an open-source distributed, real-time, in-memory, massively scalable, multi-schema time series / event / operational database with Prometheus query support and some Spark support as well. The normal configuration for real-time ingestion is deployment as stand-alone processes in a cluster, ingesting directly from Apache Kafka. The processes form a cluster using peer-to-peer Akka Cluster technology. -
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AWS IoT Over-the-air Update Library
Manage the notification of a newly available update
...This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8. -
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Rocket Chip
Rocket Chip Generator
...A diplomacy framework (LazyModules) lets designers wire components with negotiated parameters, enabling reuse and rapid exploration of different cache sizes, port counts, and memory hierarchies. The generator supports custom accelerators through the RoCC interface, allowing domain-specific compute units to be plugged into the pipeline with shared cache and memory semantics. Tooling integrates with FIRRTL, Verilator, and commercial EDA flows, and the ecosystem around Rocket Chip (e.g., Chipyard) adds harnesses, peripherals, and verification infrastructure. -
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.NET Boxed
.NET project templates with batteries included
...Use the HTTPS scheme and TLS security across the entire site, redirects HTTP to HTTPS, and adds a Strict Transport Security (HSTS) HTTP header with preloading enabled. Both in-memory and distributed cache are configured. You do need to specify where the distributed cache stores its data. Allow configuring Kestrel security limits such as maximum request size via configuration and set sensible stricter defaults. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning
Apache MXNet is a scalable, efficient open-source deep learning framework—offering a flexible hybrid programming model (symbolic + imperative) and supporting a wide array of languages—designed for training and deploying neural networks across heterogeneous systems. Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic... -
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TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters
By combining salient features from the TensorFlow deep learning framework with Apache Spark and Apache Hadoop, TensorFlowOnSpark enables distributed deep learning on a cluster of GPU and CPU servers. It enables both distributed TensorFlow training and inferencing on Spark clusters, with a goal to minimize the amount of code changes required to run existing TensorFlow programs on a shared grid. -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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HipMer
A High performance distributed memory assembler for big genomic data
HipMer is the first end-to-end de novo genome assembler designed for extreme scale analysis via efficient parallelization. The single-genome assembly implementation is a high-performance parallelization and port of the Meraculous assembler (http://jgi.doe.gov/data-and-tools/meraculous/). The MetaHipMer extension is a recent addition to HipMer that is geared to large metagenomes and leverages iterative kmer sizes and a specialized scaffolding algorithm to produce increased contiguity and... -
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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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wholeaked
Tool that embeds identifiers in files to trace leak sources
wholeaked is an open source file distribution and tracking tool designed to help identify the source of leaked files. It works by generating unique versions of a file for each recipient and embedding identifying signatures or metadata into each distributed copy. If the file later appears in an unauthorized location, the embedded identifier can be analyzed to determine which recipient originally received that specific version. This approach allows organizations, researchers, or individuals to trace the origin of leaks in sensitive documents, binaries, or other shared resources. wholeaked automates the process of creating personalized file variants and associating them with a list of recipients. ... -
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PJON
Experimental, arduino-compatible, multi-master, multi-media network
PJON® (Padded Jittering Operative Network) is an experimental, Arduino-compatible, multi-master, multi-media, software-defined network protocol that can be easily cross-compiled on many microcontrollers and real-time operative systems like ATtiny, ATmega, SAMD, ESP8266, ESP32, STM32, Teensy, Raspberry Pi, Zephyr, Linux, Windows x86, Apple and Android. PJON operates on a wide range of media, data links and existing protocols like PJDL, PJDLR, PJDLS, Serial, RS485, USB, ASK/FSK, LoRa, UDP,... -
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JAMon API
Monitor Java applications - SQL, HTTP, Methods, Exceptions and more.
JAMon API is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor the performance and scalability of production applications. JAMon tracks hits, execution times (total, avg, min, max, std dev), and more. * JAMon Users Manual: For more on the JAMon, including installing, configuring, and using it, see http://jamonapi.sourceforge.net/. * Support: If you have any questions about usage please post a question on the forum at ... -
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Gitcoin Web
Grow Open Source
...Build resilient projects, better coordination, and positive-sum outcomes. Growing networks with aligned incentives toward the wellbeing of each participant and the system as a whole. Through distributed funding and organizations, we build together toward our shared goals. -
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Wasmer Go
WebAssembly runtime for Go
...The runtime delivers near-native performance by leveraging Wasmer’s optimized execution engine while maintaining strong sandboxing guarantees for safe execution of untrusted code. Wasmer Go supports loading, compiling, and running WebAssembly modules, as well as interacting with them through imports, exports, and memory management. It relies on precompiled shared libraries and CGO to bridge between Go and the underlying Wasmer runtime, ensuring compatibility across multiple operating systems. -
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OpenTSDB
A scalable, distributed time series database
OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable. Store and serve massive amounts of time series data without losing granularity. -
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Amadeus
Harmonious distributed data analysis in Rust
Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. -
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MyCAT
Active, high-performance open source database middleware
...Regarded as MySQL cluster of enterprise database, MyCAT can take the place of expensive Oracle cluster. MyCAT is also a new type of database, which seems like a SQL Server integrated with the memory cache technology, NoSQL technology and HDFS big data. And as a new modern enterprise database product, MyCAT is combined with the traditional database and new distributed data warehouse. In a word, MyCAT is a fresh new middleware of database. MyCAT ’s objective is to smoothly migrate the current stand-alone database and applications to cloud side with low cost and to solve the bottleneck problem caused by the rapid growth of data storage and business scale. -
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LinLocalize for Windows is an application for localizing executables to other languages. It automates resource translation to great length. Application language can be switched over regitry. No code needs to be included in application. Delphi XE source code for MS-Windows is available on subversion. - Compiling LinLocalize with Delphi XE10 is working - Using LinLocalize for translating Delphi XE10 Projects is working - LinLocalize is an 32bit Application but can handle 64bit...
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BlackBelt - Gaian Library - AI Assisted
Communications, Knowledge Network; Gateway; Encyclopaedia
A high speed p2p Communications Knowledge Network and Encyclopaedia. Get Knowledge - Fast ! *** Distributed Autonomic-Performance-Tuning - A Goal-Seeking Swarming-Semiotic AI *** Video Conference Call. WASTE p2p Share / Distribute. Install Firefox or PaleMoon or WaterFox and then install us: Browse i2p sites. Browse Tor sites. Use the in-built Library to reach and consume content. Default installation starts your local/shared library with topics covered below: Privacy i2p Links Tor Links. ... -
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memcached-win
Memcached for Windows (Experimental)
High-performance, distributed memory object caching system. UNOFFICIAL EXPERIMENTAL BUILD. DO NOT USE IN PRODUCTION.
