Search Results for "shared memory allocator" - Page 2
Sort By:
Showing 34 open source projects for "shared memory allocator"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
$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.
-
1
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.
-
2
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.
-
3
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.
-
4
STL allocator, implements shared memory allocation (for unix/linux systems). Enables sharing memory between processes, while still using the STL API.
-
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
5
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.
-
6
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.
-
7
This is a tiny educational library : smalltalk like objects, quick memory allocator, network marshall/unmarshall, dynamic module, debug, quick and dirty two-way link between our objects and mozilla javascript or python objects, ... and highly portable !
-
8
(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
-
9
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
