Search Results for "cpu benchmark linux"

OpenDDS is an open source implementation of the Object Management Group (OMG) Data Distribution Service (DDS), providing a publish/subscribe middleware solution for real-time distributed systems. OpenDDS includes development and run-time tools. Full product information, source code, documentation, build instructions, and license information are available from http://www.opendds.org. Commercial consulting, support, and training for OpenDDS are available. OpenDDS is in production use...

TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and...

Ichnaea is a set of tools that aid in collecting and tracking parameters and timings for parallel applications. The Performance Modelling Timing Module, PMTM, is a library that wraps system timing calls to abstract these from code developers and aid portability. It also has functionality to store parameters and print those, along with the timing information to a comma separated variable file. The Performance Modelling Analysis Tool, PMAT, is coming soon. This is able to read in and...

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating...

ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows.

Kepler is a monitoring system for HPC clusters : it allows users to monitor cluster elements like nodes, network devices and storage nodes. Analyse can be centered on jobs to determine performances and behaviours.

Workflow of Heterogeneous Computing. Our aim is to offer a software layer that would leverage the full potential of a network (heterogeneous cpu/gpu/hybrid) by attempting to allocate resources according to application (OpenCL) needs.

This is an opensource project for the calculation of the mathematical constant Pi. If you are a mathematician or programer please contribute ideas or code for this project. Non professionals are also welcome to contribute.

DMUCS works with distcc to allow multiple users to share a gcc compilation farm, while guaranteeing that each compilation will be assigned to the highest-performing, available cpu in the compilation farm.

This program try to crack any md5 hash , but not using one cpu, using the power of distributed computing to get better results in less time

BURP aims to develop a publicly distributed system for rendering 3D animations over the Internet using CPU idle time.

The 'Monitor' application, which consists of 2 parts, a MonitorServer (linux daemon) and a MonitorClient (java gui), will enable the user to monitor and log server process, memory, network and cpu information of multiple servers at a time.

The project focuses on developing an environment where one can harness idle CPU cycles of numerous networked systems to work together on a particularly processing-intensive problem. (distributed computing you may call it)