Search Results for "cpu-z"

...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.

Useful to split up jobs over multiple CPU cores or even multiple computers. Examples: tar -cf - /bigdirectory | splitjob -j 4 gzip > big.tar.gz splitjob "ssh h1 bzip2" "ssh h2 bzip2" < f > f.bz2

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. ...

Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.

OpenMAC is a TinyOS-based implementation of IEEE 802.15.4 MAC layer, which lies at the core of MeshNetics ZigBee stack, and provides basic wireless networking (star,peer to peer) to WSN's. Available for low-power ZigBit modules and Atmel AVR Z-Link Kits

Gkrellfah2 is a plugin for GkrellM2 that monitors and controls the Linux Folding@home client. It features configurable text output, monitoring of cpu use, autostart of F@H clients, standalone or client/server models, and logging of completed workunit

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