Open Source PowerShell Virtualization Software

Easy-GPU-PV is an open-source project that automates the relatively complex steps required to set up GPU Paravirtualization (GPU-PV) on Windows Hyper-V, letting you partition a physical GPU and assign slices to virtual machines for low-latency remote use. It creates and installs a Windows VM, copies the necessary GPU-PV driver files into the VM, and helps install Parsec (an ultra-low-latency remote-desktop client) so you can connect to the VM at high framerates. The repo is practical and script-driven: the author provides PowerShell scripts (PreChecks.ps1, CopyFilesToVM.ps1, Update-VMGpuPartitionDriver.ps1, etc.) plus configuration values and an unattended install template to minimize manual steps. The README documents hardware and OS prerequisites (Windows 10 20H1+/Windows 11 Pro/Enterprise/Education, matched host/VM versions, virtualization and Hyper-V enabled, recent GPU drivers, and supported GPUs.

▪ JMP library allows to do multiprocessing in Java with a simple API that resembles Java multithreading. JMP allows running a piece of Java code on a separate process either locally or on remote machine. ▪ If the code in question is not present on the target machine, it can be dynamically uploaded. ▪ JMP allows setting affinity for a new process explicitly instead of relying on the OS. ▪ JMP also contains a simple cluster management / load balancing tool called JMP node. ▪ JMP = SSI + load balancing + multiprocessing API ▪ JMP is available on ENGITEX Java cloud as well as for local deployment. Two of the most obvious JMP use cases are: a. All kinds of data parallelism (exhaustive search algorithms, optimization problems). b. Server-side load balancing between available CPUs. See project Wiki for more.