Search Results for "distributed shared memory" - Page 2
Sort By:
Showing 41 open source projects for "distributed shared memory"
View related business solutions-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
-
2
Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering
-
3
TCache is high performance key/value storage component. It can be easily plugged into any existing high-performance, distributed memory object caching systems such as MemcacheD or Dynamo, speeding up dynamic web applications by reducing database load
-
4
-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
5
Photon provides very fast access to data containers (queues, maps, etc.) in shared memory - it can retrieve millions of data records per second. It also uses some RDB concepts like transactions and crash recovery. See web site for details.
-
6
One approach to constructing fast queues is to construct a mechanism for using shared memory appropriate containers in C++ as templates. There are three main components: the shared segment of memory, an allocator of memory chunks and the queue itself.
-
7
A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
-
8
STLshm provides an C++ STL Allocator implementation for creating and using STL containers (and any other allocator aware types) in shared memory regions. It supports multiple shared region implementations.
-
9
QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.
-
11
STL allocator, implements shared memory allocation (for unix/linux systems). Enables sharing memory between processes, while still using the STL API.
-
12
DATTEL means "DATa parallel TEmplate Library". It is a C++ library providing STL-algorithms on shared memory (via pthreads) and/or distributed memory (via MPI). The parallelism is hidden from the programmer. Porting code to DATTEL should be easy.
-
13
JVMCluster Features: - clusterable Java Virtual Machine (based on PVM) - uses CPPVM as adapter layer to PVM - object persistent layer integrated into JVM - memory management unit is based on integrated relational database - JDBC/ODBC api to acces
-
14
A Pooled, Shared Memory allocator for the C++ Standard Template Library (STL). Allows processes to share an STL container class to facilitate control and communications between the connected processes.
-
15
(1) smart pointer class (memory management via reference counting), (2) Lockable class (for controlling shared object mutability), (3) lockable, reference-counted array and string classes, (4) stream-based serialization classes
-
16
