EDBT 2026 Demo / reviewers in the wild / expert

Ramesh Pankajakshan

dblp:229/7117 · DBLP profile ↗
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5ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-4249-2555ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 5 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
5 papers
High-performance computing · 54% Performance modeling and evaluation · 21% Interconnection networks and networks-on-chip · 16%
Software engineering, system software, and programming languages
2 papers
Operating systems · 100%

Topics — the 9 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › supercomputing
exascale computing		 0.912025
Breaking the System Noise Barrier at Exascale · SC 2025
High-performance computing
application porting		 0.412019
Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019
Interconnection networks and networks-on-chip › cluster interconnect
infiniband		 0.412019
An evaluation of the CORAL interconnects · SC 2019
Performance modeling and evaluation › benchmarking
interconnect benchmarking		 0.412019
An evaluation of the CORAL interconnects · SC 2019
Parallel and multicore computing
programming models		 0.412019
Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019
Interconnection networks and networks-on-chip › high-speed networks
supercomputer interconnect		 0.412019
An evaluation of the CORAL interconnects · SC 2019
High-performance computing › supercomputing
supercomputer deployment		 0.312018
The design, deployment, and evaluation of the CORAL pre-exascale systems · SC 2018
Performance modeling and evaluation
benchmarking		 0.222019
Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019
The design, deployment, and evaluation of the CORAL pre-exascale systems · SC 2018
High-performance computing › supercomputing
supercomputing systems		 0.112019
An evaluation of the CORAL interconnects · SC 2019

Methods — techniques the papers use, named apart from their topics

performance analysis · 1.7performance evaluation · 0.9communication benchmarking · 0.4
YearPublicationVenuePosition
2025 Breaking the System Noise Barrier at Exascale
abstract
To meet the increasing demands of parallel scientific applications, supercomputers continue to grow in both scale and complexity. The fastest supercomputer in the world, El Capitan, features over a million CPU cores and tens of thousands of GPUs. Applications running on such large-scale systems are particularly susceptible to system noise or interference caused by the operating system (OS) and other services running on the same compute nodes as the application.
Edgar A. León, Joseph Glenski, Mark J. Stock, Kim H. McMahon, William Loewe, Clark Snyder, Larry Kaplan, Srinath Vadlamani, Timothy I. Mattox, Trent D'Hooge, Brian Behlendorf, Nathan Hanford, Ramesh Pankajakshan, Matthew L. Leininger
 SC13
2020 TOSS-2020: a commodity software stack for HPC
abstract
The simulation environment of any HPC platform is key to the performance, portability, and productivity of scientific applications. This environment has traditionally been provided by platform vendors, presenting challenges for HPC centers and users including platform-specific software that tend to stagnate over the lifetime of the system. In this paper, we present the Tri-Laboratory Operating System Stack (TOSS), a production simulation environment based on Linux and open source software, with proprietary software components integrated as needed. TOSS, focused on mid-to-large scale commodity HPC systems, provides a common simulation environment across system architectures, reduces the learning curve on new systems, and benefits from a lineage of past experience and bug fixes. To further the scope and applicability of TOSS, we demonstrate its feasibility and effectiveness on a leadership-class supercomputer architecture. Our evaluation, relative to the vendor stack, includes an analysis of resource manager complexity, system noise, networking, and application performance.
Edgar A. León, Trent D'Hooge, Nathan Hanford, Ian Karlin, Ramesh Pankajakshan, Jim Foraker, Christopher M. Chambreau, Matthew L. Leininger
 SC5
2019 Preparation and optimization of a diverse workload for a large-scale heterogeneous system
abstract
Productivity from day one on supercomputers that leverage new technologies requires significant preparation. An institution that procures a novel system architecture often lacks sufficient institutional knowledge and skills to prepare for it. Thus, the "Center of Excellence" (CoE) concept has emerged to prepare for systems such as Summit and Sierra, currently the top two systems in the Top 500. This paper documents CoE experiences that prepared a workload of diverse applications and math libraries for a heterogeneous system. We describe our approach to this preparation, including our management and execution strategies, and detail our experiences with and reasons for using different programming approaches. Our early science and performance results show that the project enabled significant early seismic science with up to a l4X throughput increase over Cori. In addition to our successes, we discuss our challenges and failures so others may benefit from our experience.
Ian Karlin, Yoonho Park, Bronis R. de Supinski, Bert Still, D. A. Beckingsale, Robert Blake, Tong Chen 0001, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steve H. Langer, Hai Le, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger A. Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz 0001, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz
 SC59
2019 An evaluation of the CORAL interconnects
abstract
The US Department of Energy deployed the Summit and Sierra supercomputers with the latest state-of-the-art network interconnect technology in 2018 and both systems entered production in 2019. In this paper, we provide an in-depth assessment of the systems' network interconnects that are based on Enhanced Data Rate (EDR) 100 Gb/s Mellanox InfiniBand. Both systems use second-generation EDR Host Channel Adapters (HCAs) and switches with several new features such as Adaptive Routing (AR), switch-based collectives, and HCA-based tag matching. Although based on the same components, Summit's network is "non-blocking" (i.e., a fully provisioned Clos network) and Sierra's network has a 2:1 taper between the racks and aggregation switches. We evaluate the two systems' interconnects using traditional communication benchmarks as well as production applications. We find that the new Adaptive Routing dramatically improves performance but the other new features still need improvement.
Christopher Zimmer 0001, Scott Atchley, Ramesh Pankajakshan, Brian E. Smith, Ian Karlin, Matthew L. Leininger, Adam Bertsch, Brian S. Ryujin, Jason Burmark, André Walker-Loud, Michael A. Clark, Olga Pearce
 SC3
2018 The design, deployment, and evaluation of the CORAL pre-exascale systems
Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, James A. Kahle, Christopher Zimmer 0001, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Christopher M. Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew Ezell, Thomas Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin
 SC33