4 projects tagged "lock-free"
Updated 26 Feb 2013
liblfds
| Pop | 85.52 |
|---|---|
| Vit | 5.98 |
liblfds is a portable, lock-free data structure library. Out-of-the-box ports are provided for Linux (user-mode) and Windows (user-mode and kernel-mode) on ARM, x86, and x64, under a variety of toolchains. Currently, the library contains a freelist, queue, ringbuffer, singly-linked list (logical delete only), and a stack. The homepage contains a blog, bugzilla, forum, and mediawiki. The mediawiki contains comprehensive documentation for development, building, testing, and porting. There is no license. You are free to use this code in any way.
Updated 14 May 2013
Concurrency Kit
| Pop | 424.70 |
|---|---|
| Vit | 29.97 |
Concurrency Kit provides a plethora of concurrency primitives and lock-less and lock-free data structures designed to aid in the design and implementation of high performance scalable concurrent systems. It was designed to minimize dependencies on operating system-specific interfaces, and most of the interface relies only on a strict subset of the standard library and more popular compiler extensions.
Updated 18 Nov 2012
libLunchbox
| Pop | 57.03 |
|---|---|
| Vit | 1.67 |
libLunchbox facilitates the development and deployment of multi-threaded applications. It provides OS Abstraction, using utility classes abstracting common operating system features (such as threads, locks, memory maps, shared library loading, and condition variables), high-performance primitives (including thread-safe utilities tuned for performance, such as atomic variables, spin locks, and lock-free containers), and utility classes (including helper primitives which are not in the standard library, such as logging, pools, and random number generation).
Updated 17 Nov 2012
libdash
| Pop | 37.34 |
|---|---|
| Vit | 1.00 |
libdash provides generic, efficient multi-threaded data access. It allows data distribution and synchronization in heterogenous environments, implemented by the CoDASH library. The primary use case is the development of task-parallel multi-threaded applications.
