Researchers who use JLSE’s computing resources are required to acknowledge that fact in documents.

The following acknowledgement is suggested:  We gratefully acknowledge the computing resources provided and operated by the Joint Laboratory for System Evaluation (JLSE) at Argonne National Laboratory.

Then, please email a copy of the published work to [email protected].


JLSE Acknowledgements:

  • Williams-Young, David B., Abhishek Bagusetty, Wibe A. de Jong, Douglas Doerfler, Hubertus JJ van Dam, Alvaro Vazquez-Mayagoitia, Theresa L. Windus, and Chao Yang. “Achieving performance portability in Gaussian basis set density functional theory on accelerator based architectures in NWChemEx.” Parallel Computing (2021): 102829.
  • Henry Chan, Nashed,Youssef S.G., Kandel, Saugat, Hruszkewycz, Stephan O., Sankaranarayanan, Subramanian K.R.S., Harder, Ross J.,  and Mathew J. Cherukara. (2021). Rapid 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning. Applied Physics Reviews, May 2021.
  • Tramm, J., Siegel, A., Romano, P. (2020). A comparison of stochastic cell volume computation strategies for the random ray method of neutral particle transport. PHYSOR 2020 — International Conference on Physics of Reactors. EPJ Web of Conferences 247, 03021
  • Michael Kruse, Hal Finkel, Xingfu Wu: “Autotuning Search Space for Loop Transformations”. In: Proceedings of the 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC 2020. November 12. Virtual). IEEE. 2020
  • Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji. How I Learned to Stop Worrying about User-Visible Endpoints and Love MPI. In Proceedings of the 34th ACM International Conference on Supercomputing (ICS), Barcelona, Spain, June 2020
  • Xiao-Yong Jin and James C. Osborn. Ensemble Quasi-Newton HMC. In Proceedings of The 36th Annual International Symposium on Lattice Field Theory (LATTICE2018). PoS LATTICE2018 (2019) 027
  • Tramm, J., Siegel, A., Romano, K. (2019). An event-based algorithm for random ray neutral particle transport on GPUs. M&C 2019 – International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering
  • Vitali Morozov, JaeHyuk Kwack, Thomas Applencourt, Colleen Bertoni, Yasaman Ghadar, Huihuo Zheng, Christopher Knight, and Scott Parker. Early Experience of the Arm-Based High-Performance Computing Eco-System. Arm Research Summit-2019, Austin, TX, September (2019)
  • JaeHyuk Kwack, Vitali Morozov, Thomas Applencourt, Colleen Bertoni, Yasaman Ghadar, Huihuo Zheng, Christopher Knight, and Scott Parker. Early Experience of the Arm-Based High-Performance Computing Eco-System with HPC Benchmarks and Applications. Arm HPC User Group (AHUG) workshop at Arm Research Summit-2019, Austin, TX, September (2019)
  • JaeHyuk Kwack, Thomas Applencourt, Colleen Bertoni, Yasaman Ghadar, Huihuo Zheng, Christopher Knight, and Scott Parker. Roofline-based Performance Efficiency of HPC Benchmarks and Applications on Current Generation of Processor Architectures. CUG (Cray User Group) Meeting, Montreal, Canada, May 2019
  • Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji. Scalable Communication Endpoints for MPI+Threads Applications. In Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems (ICPADS), Sentosa, Singapore, December 2018. Best Poster Presentation Award
  • Shintaro Iwasaki, Abdelhalim Amer, Kenjiro Taura, Pavan Balaji. Lessons Learned from Analyzing Dynamic Promotion for User-Level Threading. To appear in the IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC). Nov 2018
  • Tramm, J., Smith, K, Forget, B., and Siegel, A. (2018). ARRC: A random ray neutron transport code for nuclear reactor simulation. Annals of Nuclear Energy, 112, 693-714
  • Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao and Ian Foster. Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN 2018
  • Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster and Nageswara S.V. Rao. Cross-geography Scientific Data Transferring Trends and Behavior. HPDC 2018
  • Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster, Peter H. Beckman. Towards a Smart Data Transfer Node. Future Generation Computer Systems Vol. 89 2018
  • Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gursoy, Francesco De Carlo and Ian Foster. TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks.
  • Abdelhalim Amer, Milind Chabbi, Huiwei Lu, Yanjie Wei, Jeff Hammond, Satoshi Matsuoka, and Pavan Balaji. Locking Contention Management in Multithreaded MPI. (TOPC), 2018
  • Alexandru Macridin, Panagiotis Spentzouris, James Amundson, and Roni Harnik,”Digital quantum computation of fermion-boson interacting systems” Phys. Rev. A 98, 042312 (2018)
  • Alexandru Macridin, Panagiotis Spentzouris, James Amundson, and Roni Harnik, “Electron-Phonon Systems on a Universal Quantum Computer” Phys. Rev. Lett. 121, 110504 (2018)
  • Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar and Ian Foster. A mathematical programming and simulation based framework to evaluate cyberinfrastructure design choices. eScience 2017
  • Sangmin Seo, Abdelhalim Amer, Pavan Balaji, Cyril Bordage, George Bosilca, Alex Brooks, Philip Carns, Adrian Castello, Damien Genet, Thomas Herault, Shintaro Iwasaki, Prateek Jindal, Laxmikant V. Kale, Sriram Krishnamoorthy, Jonathan Lifflander, Huiwei Lu, Esteban Meneses, Marc Snir, Yanhua Sun, Kenjiro Taura, and Pete Beckman. “Argobots: A Lightweight Low-Level Threading and Tasking Framework.” IEEE Transactions on Parallel and Distributed Systems, 2017
  • Kenneth J. Raffenetti, Abdelhalim Amer, Lena Oden, Charles Archer, Wesley Bland, Hajime Fujita, Yanfei Guo, Tomislav Janjusic, Dmitry Durnov, Michael Blocksome, Min Si, Sangmin Seo, Akhil Langer, Gengbin Zheng, Masamichi Takagi, Paul Coffman, Jithin Jose, Sayantan Sur, Alexander Sannikov, Sergey Oblomov, Michael Chuvelev, Masayuki Hatanaka, Xin Zhao, Paul Fischer, Thilina Rathnayake, Matt Otten, Misun Min, and Pavan Balaji. Why is MPI so Slow? Analyzing the Fundamental Limits in Implementing MPI- 3.1. IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC). Nov 2017
  • John R. Tramm, Kord S. Smith, Benoit Forget, Andrew R. Siegel, “The Random Ray Method for neutral particle transport.”, Journal of Computational Physics, Volume 342, August (2017), Pages 229-252, ISSN 0021-9991
  • Dang, Hoang-Vu, Sangmin Seo, Abdelhalim Amer, and Pavan Balaji. “Advanced Thread Synchronization for Multithreaded MPI Implementations.”  To appear at the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May (2017)
  • C. Perez-Monte, M. Perez, S. Rizzi, F. Piccoli, C. Luciano, “Modelling frame losses in a parallel Alternate Frame Rendering system with a Computational Best-effort Scheme.” Computers & Graphics, August (2016)
  • P. K. Romano, J. R. Tramm, and A. R. Siegel, “Efficacy of hardware threading for Monte Carlo particle transport calculations on multi- and many-core systems,” Proc. PHYSOR 2016, Sun Valley, Idaho, May 1–5, 2016
  • J. Tramm, G.Gunow, T. He, K. Smith, B. Forget, A. Siegel, “A task-based parallelism and vectorized approach to 3D Method of Characteristics (MOC) reactor simulation for high performance computing architectures.”Computer Physics Communications, 202, 141-150, May (2016)
  • W. Boyd, K. Yoshii and A. Siegel, “Energy Efficiency of High-Performance Computing Platforms for Neutron Transport Calculations.” Trans. of the Amer. Nucl. Soc., ANS Summer Meeting, San Antonio, TX, USA June (2015)
  • E. Jung, R. Kettimuthu, “High-Performance Serverless Data Transfer over Wide-Area Networks”. IPDPS, May (2015)
  • K. Zhang, S. Ogrenci-Memik, G. Memik, K. Yoshii, R. Sankaran, P. Beckman, “Minimizing Thermal Variation Across System Components.” IPDPS  (2015)
  • J. Tramm, K. Yoshii, A. Siegel, “Power Profiling of a Reduced Data Movement Algorithm for Neutron Cross Section Data in Monte Carlo Simulations.” Co-HPC (2014)
© 2020 Joint Laboratory for System Evaluation