January 2020 Summaries

Simulation environments face challenges due to outdated technology, fragmented software, and complex data management processes, but recent advancements in cloud technologies have enabled the modernization of Simulation Process & Data Management (SPDM). Despite the potential benefits, the adoption of SPDM by simulation engineers remains low, hindered by proprietary solutions, disruption to existing systems, and deployment time. The Rescale ScaleX platform offers a solution by providing a cloud-based SPDM architecture that minimizes disruption, improves collaboration, and enhances productivity through automation and efficient data management. ScaleX facilitates interactions between disparate tools, automates data capture and movement, and optimizes workflows by aligning computing resources with needs, thus reducing manual scripting. It provides a globally optimized architecture, allowing seamless collaboration and data sharing while maintaining security and governance through a unified model. The ScaleX platform allows organizations to evolve from ad-hoc to fully automated simulation workflows, thereby unlocking value and fostering innovation across business operations.

The Big Compute community is being launched to explore the potential of limitless computing capacity and how it can revolutionize problem-solving in engineering and scientific domains, akin to the connectivity advances seen with instant messaging and social media. This initiative challenges the traditional resource-limited mindset in product development, which often stifles innovation through constraints imposed by fixed computing capacities and bureaucratic processes. By envisioning a world where computing power is as accessible and abundant as a commodity, the community aims to shift focus from "how much can we get done with what we have" to "what do we truly want to achieve," thereby fostering a normative approach to innovation. The community's inaugural event, a thought leadership conference, seeks to discuss the implications of this mindset shift, the real-world impact of removing computational constraints, and preferences for computing architectures among users. The goal is to facilitate a re-evaluation of traditional methods and inspire the next wave of technological advancements by enabling engineers and scientists to fully leverage the potential of Big Compute.