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Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.
Python API Monitor for Android apps
DMS LITE is the lightweight version of Project OWL's Data Management System. Build to run local on the PaPi
Use this Property Manager CLI to automate Akamai property changes and deployments across many environments.
:rocket: configure nginx based on akamai property rules
Self and Light proFIling Engine - a very light profiling tools for Linux commands and HPC codes
Simple wrapper for PAPI most common used functions
Performance Counter Analysis
Expansion for PlaceholderAPI
A tool for easy and fast benchmarking of OpenMP Kernels with PAPI.
Polkadot API Tutorial walkthrough example.
PAPI-Expansion-CloudNet is a Expansion for the PlaceholderAPI v2.10.9 to Display CloudNet Hurricane Informations as Placeholders.
Placeholder API for Geyer. This is in no way affiliated to GeyserMC!
Dotprod Performance Analysis (Advanced Architectures assignment)
Expansion for get player tier from tierlistmc.com
This expansion allows you to do conditional checks on the placeholders. Also allows you to do text transformations on the placeholders.
An easy-to-use Header-only library for running PAPI counters both in sequential and parallel (OpenMP) software
This repository contains all the code and data related to my Bachelor Thesis: Vulnerability Assessment for Rowhammer Attack.
Solutions to the assignments undertaken during the Programming for Performance Course (CS610) in the 7th semester at IITK under Prof. Swarnendu Biswas
Parallel and Distributed Computing
Web3 Registrar Service frontend
Example KStreams Filter App with configurable filtering for JSON objects, i.e. forward/drop objects in case a configured field in the payload matches a specific pattern
A performance analysis of matrix multiplication in C++ and Java, comparing sequential and parallel implementations, developed for the Parallel and Distributed Computing course at FEUP.
Performance evaluation of matrix multiplication in C++ and C#, comparing single-core and multi-core implementations using PAPI counters and automated analysis tools.