Search Results for "cpu"

...TurboVNC forked from TightVNC in 2004 and still covers all of the TightVNC 1.3.x features, but TurboVNC contains numerous feature enhancements and bug fixes relative to TightVNC, and it compresses 3D and video workloads much better than TightVNC while using generally only 5-20% of the CPU time of the latter. Using non-default settings, TurboVNC can also be made to compress 2D workloads as "tightly" as TightVNC.

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 sensory activity, etc. ...

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.

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.

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)