Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities

Abstract

It is our great pleasure to welcome you to the 2011 International Workshop on Petascal Data Analytics: Challenges and Opportunities. This is the 2nd edition of the workshop held in cooperation with the IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC). The main objective of this workshop is to provide an international platform to share and discuss recent research results in adopting high-end computing including clouds and distributed computing resources for petascale - exascale data frameworks, analytics, and visualization. In the last ten years, computing capability has increased many-fold, and correspondingly data volumes have grown by an even larger amount. Many traditional application domains have now become data intensive. It is estimated that organizations with high-performance computing infrastructures and data centers are doubling the amount of data that they are archiving every year. Recent advances in computing architectures require that middleware and application software be reengineered to fully exploit heterogeneous resources, memory hierarchies, and I/O pipelines. Cloud computing has become a practical and cost effective solution for providers and consumers, ranging from business analytics to scientific computing. The utility of cloud computing has been shown to provide significant benefits in data mining, machine learning and knowledge discovery. Cloud computing also has great potential to revolutionize extreme scale data analytics; but there are many obstacles which must be overcome to gain wide spread adoption. The integration of HPC and cloud infrastructure, for example, must be addressed in a manner that is both usable and scalable. This workshop welcomes members of academia, government and industry to discuss new and emerging trends in computing architectures, programming models, I/O services, and data analytics. We invite researchers, developers, and users to participate in this workshop to share, contribute, and discuss the emerging challenges in developing knowledge discovery solutions and frameworks targeting clouds and high-end computing platforms. The call for papers attracted eight submissions and after a thorough review process the program committee accepted five papers that covered variety of topics. In addition, the program included a keynote talk from Dr. Lucy Nowell of DOE/ASCR, and invited talks from eminent scholars: Prof. Manish Parashar (Rutgers/NSF), Dr. Dennis Gannon (Microsoft Research), Prof. Geoffrey Fox (Indiana), Dr. Ilkay Altintas (SDSC), Prof. Chris Johnson (Utah), and Prof. Judy Qiu (Indiana). Overall the workshop featured broad range of talks covering both recent advances and future challenges of petascale data analytics on modern high-end computing infrastructures, and has attracted more than 125 participants.