Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation. - Edgar Gabriel; Graham E. Fagg; George Bosilca; Thara Angskun; Jack J. Dongarra; Jeffrey M. Squyres; Vishal Sahay; Prabhanjan Kambadur; Brian Barrett; Andrew Lumsdaine; Ralph H. Castain; David J. Daniel; et al. (PVM/MPI, 2004)

Open MPI's TEG Point-to-Point Communications Methodology: Comparison to Existing Implementations. - Timothy S. Woodall; Richard L. Graham; Ralph H. Castain; David J. Daniel; Mitchel W. Sukalski; Graham E. Fagg; Edgar Gabriel; George Bosilca; Thara Angskun; Jack J. Dongarra; Jeffrey M. Squyres; Vishal Sahay; et al. (PVM/MPI, 2004)

TEG: A High-Performance, Scalable, Multi-network Point-to-Point Communications Methodology. - Timothy S. Woodall; Richard L. Graham; Ralph H. Castain; David J. Daniel; Mitchel W. Sukalski; Graham E. Fagg; Edgar Gabriel; George Bosilca; Thara Angskun; Jack J. Dongarra; Jeffrey M. Squyres; Vishal Sahay; et al. (PVM/MPI, 2004)

Modernizing the C++ Interface to MPI. - Prabhanjan Kambadur; Douglas P. Gregor; Andrew Lumsdaine; Amey Dharurkar (PVM/MPI, 2006)

Parallelization of Generic Libraries Based on Type Properties. - Prabhanjan Kambadur; Douglas P. Gregor; Andrew Lumsdaine (International Conference on Computational Science (1), 2007)

A Case for Standard Non-blocking Collective Operations. - Torsten Hoefler; Prabhanjan Kambadur; Richard L. Graham; Galen M. Shipman; Andrew Lumsdaine (PVM/MPI, 2007)

OpenMP Extensions for Generic Libraries. - Prabhanjan Kambadur; Douglas P. Gregor; Andrew Lumsdaine (IWOMP, 2008)

Demand-driven execution of static directed acyclic graphs using task parallelism. - Prabhanjan Kambadur; Anshul Gupta; Torsten Hoefler; Andrew Lumsdaine (HiPC, 2009)

Extending Task Parallelism For Frequent Pattern Mining. - Prabhanjan Kambadur; Amol Ghoting; Anshul Gupta; Andrew Lumsdaine (PARCO, 2009)

PFunc: modern task parallelism for modern high performance computing. - Prabhanjan Kambadur; Anshul Gupta; Amol Ghoting; Haim Avron; Andrew Lumsdaine (SC, 2009)

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. - Amol Ghoting; Prabhanjan Kambadur; Edwin P. D. Pednault; Ramakrishnan Kannan (KDD, 2011)

Lifeline-based global load balancing. - Vijay A. Saraswat; Prabhanjan Kambadur; Sreedhar B. Kodali; David Grove; Sriram Krishnamoorthy (PPoPP, 2011)

A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions. - Prabhanjan Kambadur; Aurélie C. Lozano (AISTATS, 2013)

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization. - Abhishek Kumar 001; Vikas Sindhwani; Prabhanjan Kambadur (ICML (1), 2013)

Approximate Spectral Clustering via Randomized Sketching. - Alex Gittens; Prabhanjan Kambadur; Christos Boutsidis (CoRR, 2013)

Trends and outlook for the massive-scale analytics stack. - Amol Ghoting; John A. Gunnels; Prabhanjan Kambadur; Edwin P. D. Pednault; Mark S. Squillante (IBM J. Res. Dev., 2013)

Orthogonal Matching Pursuit for Sparse Quantile Regression. - Aleksandr Y. Aravkin; Aurélie C. Lozano; Ronny Luss; Prabhanjan Kambadur (ICDM, 2014)

X10 and APGAS at Petascale. - Olivier Tardieu; Benjamin Herta; David Cunningham; David Grove; Prabhanjan Kambadur; Vijay A. Saraswat; Avraham Shinnar; Mikio Takeuchi; Mandana Vaziri (PPoPP, 2014)

Spectral Clustering via the Power Method - Provably. - Christos Boutsidis; Prabhanjan Kambadur; Alex Gittens (ICML, 2015)

A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix. - Christos Boutsidis; Petros Drineas; Prabhanjan Kambadur; Anastasios Zouzias (CoRR, 2015)

How Twitter is Changing the Nature of Financial News Discovery. - Mark Dredze; Prabhanjan Kambadur; Gary Kazantsev; Gideon Mann; Miles Osborne (DSMM@SIGMOD, 2016)

Geolocation for Twitter: Timing Matters. - Mark Dredze; Miles Osborne; Prabhanjan Kambadur (HLT-NAACL, 2016)

An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations. - Seunghak Lee; Aurélie C. Lozano; Prabhanjan Kambadur; Eric P. Xing (J. Comput. Biol., 2016)

X10 and APGAS at Petascale. - Olivier Tardieu; Benjamin Herta; David Cunningham; David Grove; Prabhanjan Kambadur; Vijay A. Saraswat; Avraham Shinnar; Mikio Takeuchi; Mandana Vaziri; Wei Zhang 022 (ACM Trans. Parallel Comput., 2016)

Faster Greedy MAP Inference for Determinantal Point Processes. - Insu Han; Prabhanjan Kambadur; KyoungSoo Park; Jinwoo Shin (ICML, 2017)

Adaptive Submodular Ranking. - Prabhanjan Kambadur; Viswanath Nagarajan; Fatemeh Navidi (IPCO, 2017)

Weakly-supervised Contextualization of Knowledge Graph Facts. - Nikos Voskarides; Edgar Meij; Ridho Reinanda; Abhinav Khaitan; Miles Osborne; Giorgio Stefanoni; Prabhanjan Kambadur; Maarten de Rijke (SIGIR, 2018)

A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition. - Ravneet Arora; Chen-Tse Tsai; Ketevan Tsereteli; Prabhanjan Kambadur; Yi Yang 038 (ACL (1), 2019)

Adaptive Submodular Ranking and Routing. - Fatemeh Navidi; Prabhanjan Kambadur; Viswanath Nagarajan (Oper. Res., 2020)

BloombergGPT: A Large Language Model for Finance. - Shijie Wu; Ozan Irsoy; Steven Lu 003; Vadim Dabravolski; Mark Dredze; Sebastian Gehrmann; Prabhanjan Kambadur; David S. Rosenberg; Gideon Mann (CoRR, 2023)

Academics Can Contribute to Domain-Specialized Language Models. - Mark Dredze; Genta Indra Winata; Prabhanjan Kambadur; Shijie Wu; Ozan Irsoy; Steven Lu 003; Vadim Dabravolski; David S. Rosenberg; Sebastian Gehrmann (EMNLP, 2024)