Amit Ruhela

Manager, HPC Tools

Phone: 512-232-8136 | Email: aruhela@tacc.utexas.edu

Dr. Ruhela joined the HPC group at TACC in January 2020. Before TACC, he was working in the Network-Based Computing Laboratory at The Ohio State University. He has more than 17 years of R&D experience in HPC, Social Computing, and Telecommunication. He is currently working on novel designs and algorithms in parallel communication to deliver the best performance and scalability for scientific and engineering applications. He has also conducted large scalability studies and performance evaluations of HPC applications on leading supercomputers.

Dr. Ruhela received his Ph.D. degree from IIT Delhi and B.Tech degree from NIT Kurukshetra, both in Computer Science. He has worked closely with researchers from The Ohio State University, NICTA Australia (now called Data61), IIT-D, and C-DOT Delhi. He has worked with computational scientists and researchers from TACC, SDSC, OSC, UMH, LLNS, University of Oregon, NCAR, and EPFL on NSF and XSEDE proposals.

Selected Publications

Yinzhi Wang, John McCalpin, Junjie Li, Matthew Cawood, John Cazes, Hanning Chen, Lars Koesterke, Hang Liu, Chun-Yaung Lu, Robert McLay, Kent Milfield, Amit Ruhela, Dave Semer- aro, Wenyang Zhang, Application Performance Analysis: a Report on the Impact of Memory Bandwidth, 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures -, ISC High Performance 2023, May 25, 2023

Samuel Bernardo, Amit Ruhela, John Cazes, Stephen Lien Harrell, and Jorge Gomes, An Earlier Experiences towards Optimizing Apache Spark over Frontera Supercomputer, 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures -, ISC High Performance 2023, May 25, 2023

Amit Ruhela, Stephen Lien Harrell, John Cazes, Establishing Containerization Performance at Petascale within HPC environments: Challenges, Designs, and Benefits, 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE’23), Greater Noida, India

Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, Joao Paul, PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control, 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023), Bengaluru, India

Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, Joao Paul, Protecting Metadata Servers From Harm Through Application-level/O Control, 2nd Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO), September 6, 2022 in conjunction with IEEE Cluster 2022, Heidelberg, Germany

Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonc, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin, MLPerfT M HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems, In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021

Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, Scaling Containerization on multi-Petaflops CPU and GPU HPC platforms, In workshop on High-Performance and Reliable Big Data (HPBD’21), September 20, 2021

Si Liu, Lei Huang, Hang Liu, Amit Ruhela, Virginia Trueheart, Susan Lindsey, Quan Yyuan, Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers, In Practice and Experience in Advanced Research Computing 2021 (PEARC), July 19-22, 2021 Best Full Paper for the Applications and Software Track

Journals

Amit Ruhela, Hari Subramoni, Sourav Chakraborty, Mohammadreza Bayatpour, Pouya Kousha, and Dhabaleswar K. Panda. "Efficient design for MPI asynchronous progress without dedicated resources", Parallel Computing, Volume 85, 2019, Pages 13-26, ISSN 0167-8191, Impact Factor: 0.938

Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Amit Ruhela, Dhabaleswar K. (DK) Panda, "MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU, Parallel Computing", Volume 77, 2018, Pages 19-37, ISSN 0167-8191, Impact Factor: 0.938

Amit Ruhela, Amitabha Bagchi, Anirban Mahanti and Aaditeshwar Seth. "The rich and middle classes on Twitter: Are popular users indeed different from regular users", Special issue on Online Social Networks in Elsevier COMCOM Journal, ISSN 0140-3664, Jul 2015, Impact Factor: 2.099, h5-index :49, h5-median : 71

Conferences

Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, Gregory J. Zynda, John Fonner, Matt Vaughn, Tommy Minyard, John Cazes, Characterizing Containerized HPC Application Performance at Petascale on CPU and GPU Architectures. In ISC High Performance 2021. (ISC 2021), Acceptance Rate : 33%

Richard Todd Evans, Matthew Cawood, Stephen Lien Harrell, Lei Huang, Si Liu, Chun-Yaung Lu, Amit Ruhela, Yinzhi Wang, Zhao Zhang, Optimizing GPU-enhanced HPC System and Cloud Procurements for Scientific Workloads. In ISC High Performance 2021. (ISC 2021), Acceptance Rate : 33%

Amit Ruhela, Matt Vaughn, Stephen Lien Harrell, Gregory J. Zynda, John Fonner, Richard ToddEvans, Tommy Minyard, "Containerization on Petascale HPC Clusters", In State of the Practice Reports of the International Conference for High-Performance Computing, Networking, Storage and Analysis (SC'20), 2020 Rank: A1 Qualis, Google Scholar H5-index: 43

S. Mahdieh Ghazimirsaeed, Qinghua Zhou, Amit Ruhela, Mohammadreza Bayatpour, Hari Subramoni, and Dhabaleswar K. (DK) Panda, "A Hierarchical and Load-Aware Design for Large Message Neighborhood Collectives", In Proceedings of the International Conference for High PerformanceComputing, Networking, Storage and Analysis (SC), 2020 Rank: A1 Qualis, Google Scholar H5-index: 4

Wilson Perez, Amit Ruhela, Punit Tulpule, "Benchmarking Computational Time of DynamicProgramming for Autonomous Vehicle Powertrain Control", SAE Technical Paper 2020-01-0968,2020

Amit Ruhela, Shulei Xu, Karthik V. Manian, Hari Subramoni, and Dhabaleswar K. Panda. "Analyzing and Understanding the Impact of Interconnect Performance on HPC, Big Data and Deep Learning Applications: A Case Study with InfiniBand EDR and HDR", In Proceedings of the IPDPS'20 - SNACS workshop. New Orleans, Louisiana, USA

Amit Ruhela, Bharath Ramesh, Sourav Chakraborty, Hari Subramoni, Jahanzeb Maqbool Hashmi, and Dhabaleswar K. (DK) Panda. "Leveraging Network-level parallelism with Multiple Process-Endpoints for MPI Broadcast", In Proceedings of the Third Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM '19). Denver, Colorado, USA

Karthik Vadambacheri Manian, Ammar Ahmad Awan, Amit Ruhela, Ching-Hsiang Chu, Hari Subramoni, and Dhabaleswar K. Panda. "Characterizing CUDA Unified Memory (UM)- Aware MPI Designs on Modern GPU Architectures", In Proceedings of the 12th Workshop on General Purpose Processing Using GPUs (GPGPU '19). ACM, New York, NY, USA

Amit Ruhela, Hari Subramoni, Sourav Chakraborty, Mohammadreza Bayatpour, Pouya Kousha, and Dhabaleswar K. Panda. 2018. "Efficient Asynchronous Communication Progress for MPI without Dedicated Resources", In Proceedings of The EuroMPI 2018 (EuroMPI 2018). ACM, New York, NY, USA, 11 pages. Rank : B1(QUALIS)

Amit Ruhela, Sipat Triukose, Sebastien Ardon, Amitabha Bagchi, Aaditeshwar Seth and Anirban Mahanti. "The Scope for Online Social Network Aided Caching in Web CDNs", 9th ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS 2013), Oct. 2013, Rank: B1(QUALIS)

Sebastien Ardon, Amitabha Bagchi, Anirban Mahanti, Amit Ruhela, Aaditeshwar Seth, Rudra Mohan Tripathy and Sipat Triukose, "Spatio-Temporal and Events Based Analysis of Topic Popularity in Twitter", 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), Oct. 2013, Rank: A(CORE13,ERA), A1(QUALIS)

Amit Ruhela. "Scalable content distribution for social networking websites", 4th International Conference on Communication Systems and Networks (COMSNETS). 3-7 Jan. 2012, doi: 0.1109/COM- SNETS.2012.6151360 Best presentation in PhD forum Acceptance Rate: 27.9%

Amit Ruhela, Rudra Mohan Tripathy, Sipat Triukose, Sebastien Ardon, Amitabha Bagchi, and Aaditeshwar Seth. "Towards the use of online social networks for efficient Internet content distribution", 5th International Conference on Advanced Networks and Telecommunication Systems (ANTS), Dec. 2011, Acceptance Rate: 35%