Abstract Machine learning techniques have become ubiquitous both in industry and
academic applications. Increasing model sizes and training data volumes necessitate fast …

The accurate and efficient determination of hydrologic connectivity has garnered significant
attention from both academic and industrial sectors due to its critical implications for …

Embedded devices, constrained by limited memory and processors, require deep learning
models to be tailored to their specifications. This research explores customized model …

Data compression has become a crucial technique in addressing performance bottlenecks
caused by increasing data volumes in High-Performance Computing (HPC), Big Data, and …

The fields of drug discovery and protein structure prediction have made significant
advancements with the integration of artificial intelligence (AI) and quantum computing …

With the advancement of processor packaging technology and the looming end of Moore's
law, multi-chip-module (MCM) GPUs become a promising architecture to continue the …

CFD 시뮬레이션을 위한 HPC 시스템은 단일서버의 성능을 극복하고자 고안된 분산
컴퓨팅을기반으로 발전해 왔다. 프로세서와 메모리, 인터커넥트네트워크, 저장장치와 같은 …