The 1.375 Approximation Algorithm for Sorting by Transpositions Can Run in $O(n log n)$ Time - Jesun Sahariar Firoz; Masud Hasan; Ashik Zinnat Khan; M. Sohel Rahman (CoRR, 2009)

The 1.375 Approximation Algorithm for Sorting by Transpositions Can Run in O(n log n) Time. - Jesun Sahariar Firoz; Masud Hasan; Ashik Zinnat Khan; M. Sohel Rahman (J. Comput. Biol., 2011)

Bee algorithms for solving DNA fragment assembly problem with noisy and noiseless data. - Jesun Sahariar Firoz; M. Sohel Rahman; Tanay Kumar Saha (GECCO, 2012)

Distributed control: priority scheduling for single source shortest paths without synchronization. - Marcin Zalewski; Thejaka Amila Kanewala; Jesun Sahariar Firoz; Andrew Lumsdaine (IA3@SC, 2014)

Importance of Runtime Considerations in Performance Engineering of Large-Scale Distributed Graph Algorithms. - Jesun Sahariar Firoz; Thejaka Amila Kanewala; Marcin Zalewski; Martina Barnas; Andrew Lumsdaine (Euro-Par Workshops, 2015)

Comparison of Single Source Shortest Path Algorithms on Two Recent Asynchronous Many-task Runtime Systems. - Jesun Sahariar Firoz; Martina Barnas; Marcin Zalewski; Andrew Lumsdaine (ICPADS, 2015)

The Anatomy of Large-Scale Distributed Graph Algorithms. - Jesun Sahariar Firoz; Thejaka Amila Kanewala; Marcin Zalewski; Martina Barnas; Andrew Lumsdaine (CoRR, 2015)

Improving Performance of Distributed Graph Traversals via Application-Aware Plug-In Work Scheduler. - Jesun Sahariar Firoz; Marcin Zalewski; Martina Barnas; Andrew Lumsdaine (Euro-Par Workshops, 2016)

Context Matters: Distributed Graph Algorithms and Runtime Systems: A Case Study of Distributed Graph Traversals. - Jesun Sahariar Firoz; Thejaka Amila Kanewala; Marcin Zalewski; Martina Barnas; Andrew Lumsdaine (PASC, 2016)

The Value of Variance. - Jesun Sahariar Firoz; Martina Barnas; Marcin Zalewski; Andrew Lumsdaine (ICPE, 2016)

POSTER: Distributed Control: The Benefits of Eliminating Global Synchronization via Effective Scheduling. - Jesun Sahariar Firoz; Thejaka Amila Kanewala; Marcin Zalewski; Martina Barnas; Andrew Lumsdaine (PPoPP, 2017)

Synchronization-Avoiding Graph Algorithms. - Jesun Sahariar Firoz; Marcin Zalewski; Thejaka Amila Kanewala; Andrew Lumsdaine (HiPC, 2018)

Adaptive Runtime Features for Distributed Graph Algorithms. - Jesun Sahariar Firoz; Marcin Zalewski; Joshua Suetterlein; Andrew Lumsdaine (HiPC, 2018)

Runtime Scheduling Policies for Distributed Graph Algorithms. - Jesun Sahariar Firoz; Marcin Zalewski; Andrew Lumsdaine; Martina Barnas (IPDPS, 2018)

A scalable distance-1 vertex coloring algorithm for power-law graphs. - Jesun Sahariar Firoz; Marcin Zalewski; Andrew Lumsdaine (PPoPP, 2018)

A Synchronization-Avoiding Distance-1 Grundy Coloring Algorithm for Power-Law Graphs. - Jesun Sahariar Firoz; Marcin Zalewski; Andrew Lumsdaine (PACT, 2019)

A Parallel Graph Environment for Real-World Data Analytics Workflows. - Vito Giovanni Castellana; Maurizio Drocco; John Feo; Jesun Sahariar Firoz; Thejaka Amila Kanewala; Andrew Lumsdaine; Joseph B. Manzano; Andres Marquez 001; Marco Minutoli; Joshua Suetterlein; Antonino Tumeo; Marcin Zalewski (DATE, 2019)

Distributed Direction-Optimizing Label Propagation for Community Detection. - Xu Liu 015; Jesun Sahariar Firoz; Marcin Zalewski; Mahantesh Halappanavar; Kevin J. Barker; Andrew Lumsdaine; Assefaw H. Gebremedhin (HPEC, 2019)

Graph Algorithms in PGAS: Chapel and UPC++. - Louis Jenkins; Jesun Sahariar Firoz; Marcin Zalewski; Cliff A. Joslyn; Mark Raugas (HPEC, 2019)

On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics. - Jesun Sahariar Firoz; Ang Li 006; Jiajia Li 001; Kevin J. Barker (HPEC, 2020)

Triangle Counting with Cyclic Distributions. - Andrew Lumsdaine; Luke Dalessandro; Kevin Deweese; Jesun Firoz; Scott McMillan (HPEC, 2020)

Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. - Ariful Azad; Mohsen Mahmoudi Aznaveh; Scott Beamer; Mark P. Blanco; Jinhao Chen; Luke D'Alessandro; Roshan Dathathri; Timothy A. Davis 001; Kevin Deweese; Jesun Firoz; Henry A. Gabb; Gurbinder Gill; et al. (IISWC, 2020)

Computing Hypergraph Homology in Chapel. - Jesun Sahariar Firoz; Louis Jenkins; Cliff A. Joslyn; Brenda Praggastis; Emilie Purvine; Mark Raugas (IPDPS Workshops, 2020)

Hypergraph Analytics of Domain Name System Relationships. - Cliff A. Joslyn; Sinan Aksoy; Dustin Arendt; Jesun Firoz; Louis Jenkins; Brenda Praggastis; Emilie Purvine; Marcin Zalewski (WAW, 2020)

Efficient Computation of High-Order Line Graphs of Hypergraphs. - Jesun Firoz; Xu T. Liu; Andrew Lumsdaine; Cliff A. Joslyn; Brenda Praggastis; Assefaw Hadish Gebremedhin (CoRR, 2020)

Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs. - Xu T. Liu; Jesun Firoz; Andrew Lumsdaine; Cliff A. Joslyn; Sinan Aksoy; Brenda Praggastis; Assefaw H. Gebremedhin (HiPC, 2021)

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. - Chenhao Xie 001; Jieyang Chen; Jesun Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (ICPP, 2021)

LC-MEMENTO: A Memory Model for Accelerated Architectures. - Kiran Ranganath; Jesun Firoz; Joshua Suetterlein; Joseph B. Manzano; Andres Marquez 001; Mark Raugas; Daniel Wong 001 (LCPC, 2021)

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Sinan Aksoy; Stephen J. Young; Jesun Firoz; Roberto Gioiosa; Mark Raugas; Juan Escobedo (CoRR, 2021)

NWGraph: A Library of Generic Graph Algorithms and Data Structures in C++20. - Andrew Lumsdaine; Luke D'Alessandro; Kevin Deweese; Jesun Firoz; Tony Liu 001; Scott McMillan; John Phillip Ratzloff; Marcin Zalewski (ECOOP, 2022)

High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis. - Xu T. Liu; Jesun Firoz; Sinan Aksoy; Ilya Amburg; Andrew Lumsdaine; Cliff A. Joslyn; Brenda Praggastis; Assefaw H. Gebremedhin (IPDPS, 2022)

NWHy: A Framework for Hypergraph Analytics: Representations, Data structures, and Algorithms. - Xu T. Liu; Jesun Firoz; Assefaw H. Gebremedhin; Andrew Lumsdaine (IPDPS Workshops, 2022)

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Stephen J. Young; Sinan Aksoy; Jesun Firoz; Roberto Gioiosa; Tobias Hagge; Mark Kempton; Juan Escobedo; Mark Raugas (IPDPS, 2022)

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. - Jieyang Chen; Chenhao Xie 001; Jesun Sahariar Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (CoRR, 2022)

Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry. - Hatem Helal; Jesun Firoz; Jenna A. Bilbrey; Mario Michael Krell; Tom Murray; Ang Li 006; Sotiris S. Xantheas; Sutanay Choudhury (CoRR, 2022)

LAHypergraph: Parallel Hypergraph Analytics in the Language of Linear Algebra. - Luanzheng Guo; Jesun Firoz; Gokcen Kestor (ACDA, 2023)

Finding Your Niche: An Evolutionary Approach to HPC Topologies. - Stephen J. Young; Joshua Suetterlein; Jesun Firoz; Joseph B. Manzano; Kevin J. Barker (HPEC, 2023)

Data Flow Lifecycles for Optimizing Workflow Coordination. - Hyungro Lee; Luanzheng Guo; Meng Tang; Jesun Firoz; Nathan R. Tallent; Anthony Kougkas; Xian-He Sun (SC, 2023)

Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed Systems. - Vito Giovanni Castellana; Burcu O. Mutlu; Ian Di Dio Lavore; Jesun Firoz; Katherine E. Wolf; Marco Minutoli; John Feo (IEEE Big Data, 2024)

Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off Analysis. - Luanzheng Guo; Meng Tang; Hyungro Lee; Jesun Firoz; Nathan R. Tallent (IEEE Big Data, 2024)

HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters. - Joshua Suetterlein; Stephen J. Young; Jesun Firoz; Joseph B. Manzano; Nathan R. Tallent; Ryan D. Friese; Kevin J. Barker; Timothy Stavenger (HPEC, 2024)

Automatic Extraction of Network Configurations for Realistic Simulation and Validation. - Joshua Suetterlein; Stephen J. Young; Jesun Firoz; Joseph B. Manzano; Ryan D. Friese; Nathan R. Tallent; Kevin J. Barker; Timothy Stavenger (ISPASS, 2024)

A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. - Kasia Swirydowicz; Jesun Firoz; Joseph B. Manzano; Mahantesh Halappanavar; Stephen Thomas; Kevin J. Barker (SBAC-PAD, 2024)

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security. - Nathan R. Tallent; Jan Strube 001; Luanzheng Guo; Hyungro Lee; Jesun Firoz; Sayan Ghosh; Bo Fang 002; Oceane Bel; Steven R. Spurgeon; Sarah Akers; Christina Doty; Erol Cromwell (CoRR, 2024)

Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units. - Hatem Helal; Jesun Firoz; Jenna A. Bilbrey; Henry Sprueill; Kristina M. Herman; Mario Michael Krell; Tom Murray; Manuel Lopez Roldan; Mike Kraus; Ang Li 006; Payel Das; Sotiris S. Xantheas; et al. (J. Chem. Inf. Model., 2024)

FlowForecaster: Automatically Inferring Detailed & Interpretable Workflow Scaling Models for Forecasts. - Hyungro Lee; Jesun Firoz; Nathan R. Tallent; Luanzheng Guo; Mahantesh Halappanavar (IPDPS, 2025)

FastFlow: Rapid Workflow Response By Prioritizing Critical Data Flows and their Interactions. - Jesun Sahariar Firoz; Hyungro Lee; Luanzheng Guo; Meng Tang; Nathan R. Tallent; Zhen Peng (SSDBM, 2025)

Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. - Jesun Firoz; Franco Pellegrini; Mario Geiger; Darren Hsu; Jenna A. Bilbrey; Han-Yi Chou; Maximilian Stadler; Markus Hoehnerbach; Tingyu Wang; Dejun Lin; Emine Küçükbenli; Henry W. Sprueill; et al. (CoRR, 2025)