First Workshop on Performance Engineering for Large-Scale Graph Analytics (PELGA)

摘要

The knowledge economy is based on data, of which graphs represent an increasing part, in advanced marketing, in social networking, in life sciences, in health and bioinformatics services, in academic networks, in hiring of professionals, etc. As a consequence, graph analytics is fast becoming a significant consumer of computing resources, due to the ever larger graphs of hundreds of millions up to hundreds of billions of edges, and to the increased complexity of analysis tasks. To enable existing algorithms to fit modern architectures and scale with these new requirements, there is a growing need for performance engineering.