ARL’s Core Competency in Computational Sciences is focused on advancing the fundamentals of emerging computing architectures, computing sciences, predictive simulation sciences, and data intensive sciences, and to transform the future of complex Army applications. Gains made through these underpinning multidisciplinary research efforts and exploiting emerging advanced computing systems will lead to scientific breakthroughs that are expected to have significant impact on future Army materiel systems. Technologies resulting from this multidisciplinary research, collaboratively with other ARL S&T research portfolio, will have a significant impact on Power Projection Superiority, Information Supremacy, Lethality & Protection Superiority, and Soldier Performance Augmentation for the Army of 2030.
Computational Sciences uses advanced computing to understand and overcome complex fundamental challenges of importance to the Army, including weapon systems design; materials-by-design; information dominated and networked battle command applications; system-of-systems analyses; human performance modeling; platform maneuverability; and tactical supercomputers. There are natural synergies among the challenges facing Computational Sciences and other ARL S&T Core Competencies. Computational Sciences breakthroughs heavily rely upon ARL’s research expertise and facilities devoted to emerging advanced computing architectures, mobile High Performance Computing (HPC), multi-scale and interdisciplinary predictive simulation sciences, multidimensional distributed data analytics, and computing sciences. Discoveries and innovations made in this area will exert a significant impact on the Army of the future.
Computing Architectures concentrates on understanding and exploiting the fundamental aspects of heterogeneous hardware and software for emergent and future computing architectures for tactical, scientific, and data intensive applications. Computing systems include both mobile and fixed architectures optimized for limited communications, lower power consumption, hierarchical memory, distributed algorithms, and resiliency.
Predictive Simulation Sciences concentrates on understanding and exploiting the fundamental aspects of verified and validated computational simulations that predict the response of complex Army systems and guide Army materiel design, particularly in cases where routine experimental tests are not feasible.
Data Intensive Sciences focuses on understanding and exploiting the fundamental aspects of large-scale multidimensional data analytics. Experiments, observations, and numerical simulations are on the verge of rapidly generating extremely large and diverse data at ever increasing rates. These sources of data are distributed over disparate locations on a heterogeneous collection of platforms and pose a challenge in providing real-time analytics that support U.S. military operations.