Servesh Muralidharan

According to our database, Servesh Muralidharan authored at least 11 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Sustaining Exascale Performance: Lessons from HPL and HPL-MxP on Aurora.

Kazushige Goto, Huda Ibeid, Kalyan Kumaran, Servesh Muralidharan, Anthony-Trung Nguyen, Aditya Nishtala

CoRR, April, 2026

2025

Scaling MPI Applications on Aurora.

Huda Ibeid, Anthony-Trung Nguyen, Aditya Nishtala, Premanand Sakarda, Larry Kaplan, Nilakantan Mahadevan, Michael Woodacre, Victor Anisimov, Kalyan Kumaran, JaeHyuk Kwack, Vitali A. Morozov, Servesh Muralidharan, Scott Parker

CoRR, December, 2025

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery.

Benjamin S. Allen, James L. Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, J. Taylor Childers, Paul K. Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle Felker, Sam Foreman, Olivier Franza, Longfei Gao, Marta García, María Jesús Garzarán, Balazs Gerofi, Yasaman Ghadar, Neha Gupta, Kevin Harms, Väinö Hatanpää, Brian Holland, Carissa Holohan, Brian Homerding, Khalid Hossain, Louise Huot, Huda Ibeid, Joseph A. Insley, Sai Jayanthi, Hong Jiang, Wei Jiang, Xiao-Yong Jin, Jeongnim Kim, Christopher Knight, Kalyan Kumaran, JaeHyuk Kwack, Ti Leggett, Ben Lenard, Chris Lewis, Nevin Liber, Johann Lombardi, Raymond M. Loy, Ye Luo, Bethany Lusch, Nilakantan Mahadevan, Victor A. Mateevitsi, Gordon McPheeters, Ryan Milner, Vitali A. Morozov, Servesh Muralidharan, Tom Musta, Mrigendra Nagar, Vikram Narayana, Marieme Ngom, Anthony-Trung Nguyen, Nathan Nichols, Aditya Nishtala, James C. Osborn, Michael E. Papka, Scott Parker, Saumil Patel, Adrian C. Pope, Sucheta Raghunanda, Esteban Rangel, Paul M. Rich, Silvio Rizzi, Kris Rowe, Varuni Sastry, Adam Scovel, Filippo Simini, Haritha Siddabathuni Som, Patrick Steinbrecher, Rick Stevens, Xinmin Tian, Peter Upton, Thomas D. Uram, Archit Vasan, Álvaro Vázquez-Mayagoitia, Kaushik Velusamy, Brice Videau, Venkatram Vishwanath, Brian Whitney, Timothy J. Williams, Michael Woodacre, Sam Zeltner, Gengbin Zheng, Huihuo Zheng

CoRR, September, 2025

THAPI: Tracing Heterogeneous APIs.

Solomon Bekele, Aurelio Vivas, Thomas Applencourt, Servesh Muralidharan, Bryce Allen, Kazutomo Yoshii, Swann Perarnau, Brice Videau

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

2024

MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization.

Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni Katti Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan

Proceedings of the International Conference for High Performance Computing, 2024

Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two Intel GPU Systems.

Thomas Applencourt, Aditya Sadawarte, Servesh Muralidharan, Colleen Bertoni, JaeHyuk Kwack, Ye Luo, Esteban Rangel, John R. Tramm, Yasaman Ghadar, Arjen Tamerus, Chris Edsall, Tom Deakin

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2017

Efficient Multibyte Floating Point Data Formats Using Vectorization.

Andrew Anderson, Servesh Muralidharan, David Gregg

IEEE Trans. Computers, 2017

2016

Improving parallelism through communication, partitioning and load balancing optimizations

Servesh Muralidharan

PhD thesis, 2016

2013

Compiler support for lightweight context switching.

Stephen Dolan, Servesh Muralidharan, David Gregg

ACM Trans. Archit. Code Optim., 2013

Heterogeneous Multiconstraint Application Partitioner (HMAP).

Servesh Muralidharan, Aravind Vasudevan, Avinash Malik, David Gregg

Proceedings of the 12th IEEE International Conference on Trust, 2013

A Parallel Runtime Framework for Communication Intensive Stream Applications.

Servesh Muralidharan, Kevin Casey, David Gregg

Proceedings of the 12th IEEE International Conference on Trust, 2013