Computer Science Research

Quantum-classical computation of Schwinger model dynamics using quantum computers
N. Klco, E. F. Dumitrescu, A. J. McCaskey, T. D. Morris, R. C. Pooser, M. Sanz, E. Solano, P. Lougovski, and M. J. Savage
Phys. Rev. A 98, 032331 – Published 28 September 2018

Cloud Quantum Computing of an Atomic Nucleus E. F. Dumitrescu, A. J. McCaskey, G. Hagen, G. R. Jansen, T. D. Morris, T. Papenbrock, R. C. Pooser, D. J. Dean, and P. Lougovski Phys. Rev. Lett. 120, 210501 – Published 23 May 2018

G. Kestor, I. Peng, R. Gioiosa, and S. Krishnamoorthy. Understanding scale-dependent soft-error behavior of scientific applications. In The 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), May 2018.

B. Nie, J. Xue, S. Gupta, T. Patel, C. Engelmann, E. Smirni, and D. Tiwari. Machine Learning Models for GPU Error Prediction in a Large Scale HPC System. In Proceedings of the 48th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2018, Luxembourg City, Luxembourg, June 25-28, 2018.

Jay Jay Billings, “Applying Distributed Ledgers to Manage Workflow Provenance,” P-RECS 2018. Phoenix AZ. June 2018.

Terry Jones, George Ostrouchov, Gregory A. Koenig, Oscar H. Mondragon, and Patrick G. Bridges. An Evaluation of the state of time synchronization on leadership class supercomputers. Journal of Concurrency and Computation: Practice and Experience. Volume 30, Issue 4. 16 pp. DOI: 10.1002/cpe.4341.

Rizwan A. Ashraf, Saurabh Hukerikar and Christian Engelmann, “Shrink or Substitute: Handling Process Failures in HPC Systems using In-situ Recovery,” In Proceedings of 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Cambridge, UK, March 21-23, 2018.

Ferrol Aderholdt, Manjunath Gorentla Venkata, and Zachary W. Parchman. SharP Data Constructs: Data Constructs for Data-centric Computing. In Proceedings of the 26th Euromicro International Conference on Parallel, Distributed, and network-based Processing (PDP) 2018, Cambridge, UK, March 21-23, 2018.

S. Achanta, M. Danielson, P. Evans, T. Jones, H. Kirkman, Y. Li-Baboud, R. Orndorff, A. Silverstein, K. Thomas, G. Trevino, F. Tuffner, and M. Weiss, "Time Synchronization in the Electric Power System”, North American synchrophasor Initiative, Tech Report NASPI-2017-TR-001, Richland, WA, March 2017.

Billings, Jay Jay, and Shantenu Jha. 2017. “Toward Common Components for Open Workflow Systems.” In ArXiv:1710.06774 [Cs]. Denver, Colorado

Ronny Brendel, Bert Wesarg, Ronny Tschüter, Matthias Weber, Thomas Ilsche and Sebastian Oeste, “Generic Library Interception for Improved Performance Measurement and Insight”, 6th Workshop on Extreme-Scale Programming Tools, Springer, 2017

Arnab K. Paul et al., “I/O Load Balancing for Big Data HPC Applications”, 2017 IEEE International Conference on Big Data, Boston, MA, December 2017.

S. Gupta, T. Patel, D. Tiwari, and C. Engelmann. Failures in Large Scale Systems: Long-term Measurement, Analysis, and Implications. In Proceedings of the 30th IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2017, Denver, CO, USA, November 12-17, 2017.

Sreeram Potluri (NVIDIA Corporation), Anshuman Goswami (NVIDIA Corporation), Davide Rossetti (NVIDIA Corporation), Manjunath Gorentla Venkata, Neena Imam (Oak Ridge National Laboratory), Chris J. Newburn (NVIDIA Corporation). GPU-centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM. HiPC 2017, Jaipur, India, December 2017.

Manjunath Gorentla Venkata and Neena Imam and Swaroop Pophale. OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017. Revised Selected Papers, Lecture Notes in Computer Science. Springer, 2018.