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What is OpenTuner?
Autotuning in the realm of programming has demonstrated remarkable enhancements in both performance and portability across a range of disciplines. However, the portability of autotuners often faces constraints when moving between different projects, primarily due to the requirement for a domain-informed representation of the search space to achieve optimal results, coupled with the reality that no single search method proves universally effective for all scenarios. In response to this challenge, OpenTuner has been introduced as an innovative framework aimed at developing multi-objective program autotuners that cater to specific domains. This framework provides a fully customizable representation of configurations, along with an extensible technique representation that allows for the integration of domain-specific strategies, and features a user-friendly interface for engaging with the programs undergoing tuning. A key highlight of OpenTuner is its capacity to leverage an array of search techniques concurrently; those that yield high performance receive more substantial testing budgets, while lesser-performing methods are systematically phased out. This strategic adaptability not only streamlines the autotuning process but also significantly boosts its overall efficacy, making it a valuable tool for developers. Additionally, the flexibility offered by OpenTuner encourages experimentation, enabling programmers to explore novel approaches tailored to their unique project requirements.
What is MPI for Python (mpi4py)?
In recent times, high-performance computing has become increasingly available to a larger pool of researchers in the scientific field than it ever has been before. The effective synergy of high-quality open-source software and reasonably priced hardware has played a crucial role in the widespread utilization of Beowulf class clusters and workstation clusters. Among the various approaches to parallel computation, message-passing has stood out as a notably efficient model. This approach is particularly advantageous for distributed memory systems and is heavily relied upon in today’s most challenging scientific and engineering tasks related to modeling, simulation, design, and signal processing. However, the environment for portable message-passing parallel programming used to be complicated, as developers had to navigate a multitude of incompatible choices. Fortunately, this scenario has vastly improved since the MPI Forum established its standard specification, which has simplified the development process considerably. Consequently, researchers are now able to dedicate more of their efforts to advancing their scientific research instead of dealing with the intricacies of programming. This shift not only enhances productivity but also fosters innovation across various disciplines.
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
OpenTuner
Company Website
opentuner.org
Company Facts
Organization Name
MPI for Python
Company Website
mpi4py.readthedocs.io/en/stable/