A Taxonomy of HPDA Algorithms

Steve Conway

Senior Vice President of Research

Hyperion Research


This talk will be the first public presentation of the rationale, methodology and key findings of a late-2016, government-funded study Hyperion Research (then called IDC) conducted, entitled Developing a Real-World Taxonomy of the Underlying Mathematical, Algorithmic, and Technological Aspects of HPDA Applications. For this study, Hyperion first consulted public- and private-sector experts to develop a taxonomy matrix aimed at matching advanced analytics (HPDA) application types with users’ preferred algorithms. Next came in-depth interviews with scientific, academic and industrial users to identify the hardware-software requirements of their applications and the attributes of the algorithms that generate those requirements. The final step was a report designed as a reference tool for HPDA users (including non-HPC specialists) from the broad spectrum of application domains investigated in the study.



About the Speaker


Steve Conway is senior vice president of research at HPC analyst firm Hyperion Research (the former IDC HPC team). He directs research related to the worldwide market for HPC and leads Hyperion's practice in high performance data analysis. A 25-year veteran of the HPC and IT industries, Mr. Conway serves on the steering committees of the HPC User Forum and the annual ISC Big Data and ISC Cloud conferences. He has led HPC studies for government agencies and other clients in North America, EMEA and the Asia-Pacific region and was the PI for the study he'll discuss at IA3 2017. Publications include chapters for the 2015 book, Industrial Applications of High Performance Computing. Mr. Conway had a 12-year career in university teaching and administration at Boston University and Harvard University. A former Senior Fulbright Fellow, he holds bachelor's and master's degrees in German (minor: physics) from Columbia University and a master's in comparative literature from Brandeis University, where he also completed doctoral coursework and exams.





Quantum Computing and Irregular Applications

Prof. Fred Chong

Seymour Goodman Professor

University of Chicago


Quantum computing is on the cusp of a revolution as prototypes with 100 quantum bits will soon appear and larger machines are on the horizon. The challenge will be to develop vertically-integrated systems in which programming languages, compilers, and runtime systems effectively map quantum algorithms to physical machines. In particular, I will discuss the opportunities and challenges for irregular applications on quantum machines. Quantum machines face challenges of communication and control which will be affected by irregularity. Physical connectivity faces scaling challenges and hierarchical structures may be needed. Yet, underneath these similarities with classical machines, quantum computers involve non-local interactions that make them uniquely different.


About the Speaker


Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and a Senior Scientist at Argonne National Laboratory. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award and 6 best paper awards. His research interests include emerging technologies for computing, quantum computing, multicore and embedded architectures, computer security, and sustainable computing.