Your Gateway to Efficient Distributed Computing
-In the world of scientific research and data-driven discoveries, time is of the essence. PanDA WMS empowers researchers, academic institutions, and scientific experiments to harness the full potential of distributed computing. By automating task distribution and resource management, PanDA accelerates your data analysis, simulations, and computations, leading to faster results and accelerated scientific breakthroughs.
+Our team is distributed across the atlantic. The majority of the team is based at CERN in Geneva, Switzerland with some team members being based at BNL in Long Island, NY, USA.
PanDA WMS is a highly scalable and flexible workload management system that was initially developed to address the computational challenges of the ATLAS experiment at CERN. PanDA has demonstrated its capability to manage 24x365 processing on approximately 800,000 concurrent cores globally for ATLAS, encompassing all types of workflows, resource types, and a large user base.
-It has become a trusted solution utilized by various scientific experiments and projects worldwide, providing efficient distributed computing and resource optimization for researchers across disciplines.
-PanDA WMS is trusted by some of the world's most prominent scientific experiments and projects: ATLAS at CERN, COMPASS at CERN, sPHENIX at BNL and Vera C. Rubin Observatory in Chile.
PanDA's intelligent algorithms ensure that computing tasks are distributed optimally across available resources, maximizing throughput and minimizing processing time. It saves valuable time and computing resources, enabling researchers to focus on analysis and results rather than managing the computational infrastructure.
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Whether you're working with a small cluster or a massive grid, PanDA can seamlessly scale to meet your computational demands, ensuring a smooth workflow. Its flexibility allows it to adapt to various computing environments, making it an ideal solution for diverse research fields and projects.
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PanDA's fault-tolerant design ensures uninterrupted processing, automatically handling and recovering from failures, and avoiding data loss. It guarantees a reliable computing environment, minimizing disruptions and maximizing efficiency in your research tasks.
-Time efficiency, cost-effectiveness, a vibrant community, and a proven track record are among the many reasons to choose PanDA WMS for your distributed computing needs.
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PanDA significantly reduces time-to-solution for complex computations, enabling researchers to focus on analysis and results rather than managing the computational infrastructure.
-By optimizing resource usage and properly utilizing available resources, PanDA helps organizations save on computing costs and achieve better return on investment.
-Join a vibrant community of researchers and developers who actively contribute to the continuous improvement of PanDA, fostering collaboration and knowledge exchange. PanDA is an Open Source project.
-PanDA WMS has been successfully deployed and utilized in cutting-edge scientific experiments and large-scale projects, making it a trusted solution for distributed computing.
-PanDA's scalable and flexible design allows it to adapt to various computing environments, making it an ideal solution for diverse research fields and projects.
-PanDA's fault-tolerant design ensures uninterrupted processing, automatically handling and recovering from failures, and avoiding data loss.
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