Search Results for "machine"

...Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device.

...It works for Intel, AMD, ARMv8 and POWER9 processors on the Linux operating system. There is additional support for Nvidia and AMD GPUs. There is support for ARMv7 and POWER8/9 but there is currently no test machine in our hands to test them properly.

...An optional LuaJIT script can perform HTTP request generation, response processing, and custom reporting. Details are available in SCRIPTING and several examples are located in scripts. The machine running wrk must have a sufficient number of ephemeral ports available and closed sockets should be recycled quickly. To handle the initial connection burst the server's listen(2) backlog should be greater than the number of concurrent connections being tested.

NiceHash Miner is an easy to use CPU & GPU cryptocurrency miner for Windows. With a simple an intuitive graphical user interface it allows you to quickly turn your PC, workstation or server into money-making cryptocurrency mining machine. Why leave your computer idle, whereas it could earn you Bitcoins with just a few clicks? NiceHash Miner is essentially the only tool a miner needs. No need to go through tons of configuration files, various mining software versions, configuration tuning or cryptocurrency coins market analysis. Auto-tuning for best performance and efficiency, automatic selection and runtime automatic switching to most profitable cryptocurrency algorithm are all integrated into NiceHash Miner and will enable you seamless, joyful and profitable mining experience.

Interprets XCCDF checklists referencing OVAL machine checks and uses them to determine a machine's benchmark state. A XCCDF results file is generated as output.

This project is designed to help programmers understand the resource utilization of their code in the Java Virtual Machine and provide real time feedback via a GUI interface.