Contains papers presented at the Sixth International Nobeyama Workshop on the New Century of Computational Fluid Dynamics, Nobeyama, Japan, April 21-24, 2003 Forecasting CFD in Future Includes supplementary material: sn. pub/extras
Computational Fluid Dynamics (CFD) has advanced significantly over the past two decades, becoming an essential analytical tool for both fundamental and practical fluid dynamics research. Analyzing flow fields enhances researchers' understanding of flow features and indirectly aids in the design of new aircraft and spacecraft. However, effective design methodologies are crucial for actual development, as they streamline the design process and can greatly shorten design cycles. Despite numerous publications on the subject, many proposed methods have remained unused due to immature research and limited computing capabilities. With the advent of high-speed computers, the time is ripe for practical application of these methods. There is a notable increase in interest surrounding aerodynamic inverse design and optimization techniques, not only within aerospace industries but also in various sectors requiring fluid dynamic design. This trend highlights the pressing engineering need for optimal aerodynamic shape design methodologies. Consequently, it is an opportune moment to compile insights from leading researchers in this field, allowing them to share their research efforts and discuss their findings in relation to broader advancements.
Supercomputer technologies have advanced significantly since the introduction of the CRAY-1 in 1976. In the early 1980s, three Japanese supercomputers emerged alongside Cray Research's X-MP series, including the CRAY-2 and NEC SX series, marking a notable generation of supercomputers with peak performances exceeding 1 GFLOPS and impressive compiler improvements. Numerous articles and books detailed their architectures and performance on various benchmark problems. The late 1980s introduced a new wave of supercomputers, with the CRAY Y-MP and Hitachi S-820 debuting in 1988, followed by NEC's SX-3 and Fujitsu's VP2000 series in 1990, and Cray's Y-MP C-90 in 1991. These machines achieved peak performances ranging from several to tens of GFLOPS, but their practical performance remains under-documented. Computational Fluid Dynamics (CFD) has significantly progressed alongside supercomputer development, making it essential for future supercomputers to meet the specific needs of CFD. While many benchmark reports exist, they primarily focus on kernels; fluid dynamics researchers require benchmarks based on real fluid dynamic codes for accurate assessments.