Search Results for "e-learning"

...It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning.

command line based tool to collect Perfmon Counting data from Hardware PMU C ounters on Intel x86 processors Supported Platforms <> Server - Intel 5th Gen Xeon Processor (Emerald Rapids) -> Core (Raptor Cove) - Intel 4th Gen Xeon Processor (Sapphire Rapids) -> Core (Golden Cove) -> CHA <> Client - Intel 14th Gen Client Processor (Meteorlake) -> P-CORE (Redwood Cove) -> E-CORE (Crestmont) - Intel 13th Gen Client Processor (Raptorlake) -> P-CORE (Raptor Cove) -> E-CORE (Gracemont) -> ARB - Intel 12th Gen Client Processor (Alderlake) -> P-CORE (Golden Cove) -> E-CORE (Gracemont) -> ARB

Nishang is a framework and collection of scripts and payloads which enables usage of PowerShell for offensive security, penetration testing and red teaming. Nishang is useful during all phases of penetration testing. Import all the scripts in the current PowerShell session (PowerShell v3 onwards). Use the individual scripts with dot sourcing. Note that the help is available for the function loaded after running the script and not the script itself since version 0.3.8. In all cases, the...

The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming"

This is a utility intended for IT professionals to deploy to their users. It will do several speed tests and report the results to an e-mail address, helping to track down complaints that "everything is slow"

News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. GCC plugin is licenced under GPLv3 licensed, while future LLVM plugins will be licensed under BSD license. ...