Crowdsourcing experiments

Delve into the innovative platform, Crowdsourcing Experiments, which invites engagement in crowdsourced research to address complex problems using the open-source Collective Knowledge Engine. By participating, individuals join a collaborative effort to enhance computational efficiency by sharing device processing power.

The primary goal of the app is to expedite the development of software and hardware solutions that are faster, more compact, and energy-efficient. Volunteers contribute to a global experiment network, offering valuable data from various hardware configurations and enabling real-time solution classification and the use of predictive analytics to refine algorithms and processes.

The interactive aspect of the platform allows contributors to be a part of experiments in computing scenarios such as compiler optimization and, potentially in the future, more complex fields like OpenCL/CUDA tuning and numerical stability analysis.

Using the platform is straightforward; it connects to a public CK server to retrieve an experimental package tailored for the user's device, runs benchmarks with different optimization levels using arbitrary data sets, and then relays the findings back to the CK server. This data is crucial for improving active learning algorithms and predictive analytics, thus advancing open science.

Participants support not only the functionality of the service but also, more broadly, initiatives in open science and reproducible research. These efforts ensure that scientific workflows and results are transparent, verifiable, and reusable, benefiting the entire scientific community.

For those interested in deeper involvement or significant contribution, myriad opportunities exist to engage with its evolution, from workload optimization to the initiation of new crowdsourcing scenarios and the expansion of computational resources.

The game embodies the collaborative nature of open science, providing a valuable opportunity to contribute to research outcomes and benefit from the collective intelligence and computational power of volunteers across the globe. Participation is crucial in carving out a tech future that is more efficient and effective.