Practical Resource Usage Prediction Method for Large Memory Jobs in HPC clusters.- A Crystal/Clear Pipeline for Applied Image Processing.- A Cache-Based Data Movement Infrastructure for On-Demand Scientific Cloud Computing.- PHINEAS: an Embedded Heterogeneous Parallel Platform.- MH-QEMU: Memory-State-Aware Fault Injection Platform.- Performance Evaluation and Analysis of Linear Algebra Kernels in the prototype Tianhe-3 Cluster.
This open access book constitutes the refereed proceedings of the 5th Asian Supercomputing Conference, SCFA 2019, held in Singapore in March 2019. The 6 full papers presented in this book were carefully reviewed and selected from 33 submissions. They cover a range of topics including memory fault handling, linear algebra, image processing, heterogeneous computing, resource usage prediction, and data caching.