Search Results for "parallel"

...Asynchronous IO. Receive side scaling (RSS) support. UDP send and receive coalescing support. All packets are encrypted and handshake is authenticated with TLS 1.3. Parallel streams of (reliable and unreliable) application data. Exchange application data in the first round trip (0-RTT). Improved congestion control and loss recovery. Survives a change in the clients IP address or port. Stateless load balancing.

...It is intended to be used as a server. It is extremely configurable and supports a wide variety of signing and encryption algorithms. Supports very high traffic volume allowing parallel processing of files per partner. SUPPORT: Please use the Github issues and Discussions channels here: https://github.com/OpenAS2/OpenAs2App/ Requirements: - Java 11 or newer (tested with the LTS versions of Java up to 21) - Any OS that runs Java Planned enhancements in the next major release: - User interace configuration GUI - Certificate Exchange Management IMPORTANT: Java 8 is no longer supported.

▪ JMP library allows explicit multiprocessing in Java with API that resembles Java Multithreading which is an essential built-in Java feature. JMP allows running a piece of Java code on a separate process either locally or on remote machine. ▪ If the code in question is not present on the target machine, it will be dynamically uploaded. ▪ JMP allows setting affinity for a new process explicitly instead of relying on the OS. ▪ JMP also contains a simple cluster management / load balancing...

...The DPMS framework handles finding which server systems can execute which "tasks", as well as load balancing the tasks across the available "farm" of server systems. One potential use is for creating a "farm" of servers that does media processing/encoding/transcoding in parallel, across many server nodes.

...Views and Models are therefore loosely coupled in Pop. A model can have multiple views for different devices and different locales. Each view and each model can be maintained and optimized independently and in parallel.

...With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.

DMTA (Distributed Multithreaded Apriori) is a parallel implementation of Apriori algorithm, which exploits the parallelism at the level of threads and processes, seeking to perform load balancing among the cores. Was implemented in C++ language, using the parallelization libraries OpenMP and MPI. The algorithm was generated as a result of a project developed by André Camilo Bolina, under the guidance of teachers Marluce Rodrigues Pereira, Ahmed Ali Abdalla Esmin and Denilson Alves Pereira, in Department of Computer Science at Federal University of Lavras. ...

...Development versions feature job migration with and without kernel support. GNU Queue continues to be downloaded despite being decommissioned by the FSF in favor of the newer GNU Parallel project. Older versions of the code are archived here on Sourceforge and some later versions on GNU Savannah.