Amit Ruhela

Amit Ruhela

Research Associate

High Performance Computing

Dr. Ruhela will join High Performance Computing (HPC) group at TACC Austin in January 2020. He has 16 years of academic and industrial research and development work experience in HPC, Social Computing, and Telecommunication domains. He is currently working in the Network-Based Computing Laboratory at The Ohio State University. He has carried out extensive performance evaluations and scalability studies at leading supercomputers. Leveraging the latest features and mechanisms in modern interconnects and many-core processors, he has explored new designs, protocols, and algorithms in the MPI library to deliver the best performance and scalability for scientific and engineering applications.

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 NICTA Australia (now called Data61), IIT Delhi, and C-DOT Delhi. He has also worked with computational scientists and researchers of TACC, SDSC, OSC, UMH, LLNS, University of Oregon, NCAR, and EPFL on NSF and XSEDE proposals.

Areas of Research

  • High Performance Computing
  • Network-based Computing
  • Parallel Computer architecture and algorithms
  • Microbenchmarks and Multiscale HPC, Cloud and DL applications
  • Information Retrieval and Data Mining
  • Machine Learning and Deep Learning

Current Projects

  • Multiscale High Performance Computing
  • Performance measurement, analysis, and benchmarking
  • HPC Software tools

Organization Membership/Professional Affiliations

  • Member, ACM

Selected Publications


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


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%


Postdoctoral research in HPC

The Ohio State University

Ph.D. in Computer Science

IIT Delhi

B. Tech in Computer Science

NIT Kurukshetra