Towards the use of online social networks for efficient Internet content distribution. - Amit Ruhela; Rudra M. Tripathy; Sipat Triukose; Sebastien Ardon; Amitabha Bagchi; Aaditeshwar Seth (IEEE ANTS, 2011)

Spatio-Temporal Analysis of Topic Popularity in Twitter - Sebastien Ardon; Amitabha Bagchi; Anirban Mahanti; Amit Ruhela; Aaditeshwar Seth; Rudra M. Tripathy; Sipat Triukose (CoRR, 2011)

Scalable content distribution for social networking websites. - Amit Ruhela (COMSNETS, 2012)

The scope for Online Social Network aided caching in web CDNs. - Amit Ruhela; Sipat Triukose; Sebastien Ardon; Amitabha Bagchi; Anirban Mahanti; Aaditeshwar Seth (ANCS, 2013)

Spatio-temporal and events based analysis of topic popularity in twitter. - Sebastien Ardon; Amitabha Bagchi; Anirban Mahanti; Amit Ruhela; Aaditeshwar Seth; Rudra Mohan Tripathy; Sipat Triukose (CIKM, 2013)

The rich and middle classes on Twitter: Are popular users indeed different from regular users? - Amit Ruhela; Amitabha Bagchi; Anirban Mahanti; Aaditeshwar Seth (Comput. Commun., 2016)

Efficient Asynchronous Communication Progress for MPI without Dedicated Resources. - Amit Ruhela; Hari Subramoni; Sourav Chakraborty 003; Mohammadreza Bayatpour; Pouya Kousha; Dhabaleswar K. Panda 001 (EuroMPI, 2018)

MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU. - Srinivasan Ramesh; Aurèle Mahéo; Sameer Shende; Allen D. Malony; Hari Subramoni; Amit Ruhela; Dhabaleswar K. Panda 001 (Parallel Comput., 2018)

Characterizing CUDA Unified Memory (UM)-Aware MPI Designs on Modern GPU Architectures. - Karthik Vadambacheri Manian; A. A. Ammar; Amit Ruhela; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (GPGPU@ASPLOS, 2019)

Leveraging Network-level parallelism with Multiple Process-Endpoints for MPI Broadcast. - Amit Ruhela; Bharath Ramesh 005; Sourav Chakraborty 003; Hari Subramoni; Jahanzeb Maqbool Hashmi; Dhabaleswar K. Panda 001 (IPDRM@SC, 2019)

Efficient design for MPI asynchronous progress without dedicated resources. - Amit Ruhela; Hari Subramoni; Sourav Chakraborty 003; Mohammadreza Bayatpour; Pouya Kousha; Dhabaleswar K. Panda 001 (Parallel Comput., 2019)

Analyzing and Understanding the Impact of Interconnect Performance on HPC, Big Data, and Deep Learning Applications: A Case Study with InfiniBand EDR and HDR. - Amit Ruhela; Shulei Xu; Karthik Vadambacheri Manian; Hari Subramoni; Dhabaleswar K. Panda 001 (IPDPS Workshops, 2020)

A hierarchical and load-aware design for large message neighborhood collectives. - S. Mahdieh Ghazimirsaeed; Qinghua Zhou; Amit Ruhela; Mohammadreza Bayatpour (SC, 2020)

An introduction to advanced features in MPI. - Victor Eijkhout; Amit Ruhela (PEARC Companion, 2020)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

Optimizing GPU-Enhanced HPC System and Cloud Procurements for Scientific Workloads. - Richard Todd Evans; Matthew Cawood; Stephen Lien Harrell; Lei Huang 019; Si Liu; Chun-Yaung Lu; Amit Ruhela; Yinzhi Wang; Zhao Zhang 007 (ISC, 2021)

Characterizing Containerized HPC Applications Performance at Petascale on CPU and GPU Architectures. - Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; Gregory J. Zynda; John M. Fonner; Matt Vaughn; Tommy Minyard; John Cazes (ISC, 2021)

Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers. - Si Liu; Lei Huang 019; Hang Liu; Amit Ruhela; Virginia Trueheart; Susan Lindsey; Quan Yuan (PEARC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

Protecting Metadata Servers From Harm Through Application-level I/O Control. - Ricardo Macedo; Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; João Paulo 001 (CLUSTER, 2022)

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. - Ricardo Macedo; Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; José Pereira 001; João Paulo 001 (CCGrid, 2023)

An Earlier Experiences Towards Optimizing Apache Spark Over Frontera Supercomputer. - Samuel Bernardo; Amit Ruhela; John Cazes; Stephen Lien Harrell; Jorge Gomes 001 (ISC Workshops, 2023)

Application Performance Analysis: A Report on the Impact of Memory Bandwidth. - Yinzhi Wang; John D. McCalpin; Junjie Li 003; Matthew Cawood; John Cazes; Hanning Chen; Lars Koesterke; Hang Liu; Chun-Yaung Lu; Robert T. McLay; Kent F. Milfeld; Amit Ruhela; et al. (ISC Workshops, 2023)

PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. - Ricardo Macedo; Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; Richard Todd Evans; José Pereira 001; João Paulo 001 (CoRR, 2023)

Can Current SDS Controllers Scale To Modern HPC Infrastructures? - Mariana Miranda; Yusuke Tanimura; Jason Haga; Amit Ruhela; Stephen Lien Harrell; John Cazes; Ricardo Macedo; José Pereira 001; João Paulo 001 (SC Workshops, 2024)

Performance Analysis of Scientific Applications on an NVIDIA Grace System. - Amit Ruhela; John Cazes; John D. McCalpin; Carlos Del-Castillo-Negrete; Junjie Li 003; Hang Liu; Hanning Chen; Chun-Yaung Lu; Kent F. Milfeld; Wenyang Zhang; Ian Wang; Lars Koesterke; et al. (SC Workshops, 2024)

Tuning Apex DQN: A Reinforcement Learning based Deep Q-Network Algorithm. - Dhani Ruhela; Amit Ruhela (PEARC, 2024)