Search Results for "wpdevcppp7-64"

Ubuntu (64 bit) OVA, VDI VBoxGuestAdditions: Installed Password: passwort virtual-ubuntu powered by juergenrohn

Sensa is not an operating system, is a work environment compatible with Android © 4.4.4, Firefox OS ©, Linux Ubuntu 12.12 ©, MacOS Classic 7 ©, MS -DOS © operating systems, and Microsoft Windows 8.1 ©; whose distribution is free, and with source code available under GNU GPL 2.0 license .

A metadata driven 'tool' to automate loading a designed Data Vault. It consists of a set of Pentaho Data Integration and database objects. Thel Virtual Machine (VMware) is a 64 bit Ubuntu Server 14.04, with MySQL (Percona Server) and PostgreSQL 9.4 as the database flavours and PDI version 5.2 CE. NB: Directory version_2.4 contains the most recent Virtual Machine. The readme.txt contains info about that VM.

vMotion Detector is an application suite designed for Oracle OEM, Oracle Grid or Nagios that allows a Windows or Linux Guest VM detect when it has its Session ID modified due to an underlying DRS or HA clustered environment change.

Primarily for use with the REVEAL web system this daemon polls a mysql database for 3d rendering requests. Currently the system will handle PMVS2 from U. Wash and Iray from Brown U. systems. Much of the code was ported from the osm-bundler system http://code.google.com/p/osm-bundler/ The daemon curently runs in win64/linux64 for PMVS and linux64 for Brown's Iray algroithm. The code has been tested and running on Ubuntu 11.10

Server Benchmark [s.b] allows server engineers and administrators to quickly complete the "burn in" phase of your server and VDI provisioning process. The software also allows users to benchmark processing and memory utilization by dynamically adding threads and building arrays to test memory capacity. Server Benchmark is also a great way to maximize capacity and test response from within your existing Citrix XenApp farm, and VDI infrastructure. Source code is attached to the...

IA-32/64 (x86) CPU Virtualization library.

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.