On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis. - David A. Bader; Aparna Chandramowlishwaran; Virat Agarwal (ICPP, 2008)

Declarative aspects of memory management in the concurrent collections parallel programming model. - Zoran Budimlic; Aparna Chandramowlishwaran; Kathleen Knobe; Geoff N. Lowney; Vivek Sarkar; Leo Treggiari (DAMP, 2009)

Performance evaluation of concurrent collections on high-performance multicore computing systems. - Aparna Chandramowlishwaran; Kathleen Knobe; Richard W. Vuduc (IPDPS, 2010)

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures. - Aparna Chandramowlishwaran; Samuel Williams 001; Leonid Oliker; Ilya Lashuk; George Biros; Richard W. Vuduc (IPDPS, 2010)

Applying the concurrent collections programming model to asynchronous parallel dense linear algebra. - Aparna Chandramowlishwaran; Kathleen Knobe; Richard W. Vuduc (PPoPP, 2010)

Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method. - Aparna Chandramowlishwaran; Kamesh Madduri; Richard W. Vuduc (SC, 2010)

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures. - Abtin Rahimian; Ilya Lashuk; Shravan K. Veerapaneni; Aparna Chandramowlishwaran; Dhairya Malhotra; Logan Moon; Rahul S. Sampath; Aashay Shringarpure; Jeffrey S. Vetter; Richard W. Vuduc; Denis Zorin; George Biros (SC, 2010)

Balance Principles for Algorithm-Architecture Co-Design. - Kent Czechowski; Casey Battaglino; Chris McClanahan; Aparna Chandramowlishwaran; Richard W. Vuduc (HotPar, 2011)

Communication-Optimal Parallel N-body Solvers. - Aparna Chandramowlishwaran; Richard W. Vuduc (IPDPS Workshops, 2012)

Courses in High-performance Computing for Scientists and Engineers. - Richard W. Vuduc; Kenneth Czechowski; Aparna Chandramowlishwaran; JeeWhan Choi (IPDPS Workshops, 2012)

Brief announcement: towards a communication optimal fast multipole method and its implications at exascale. - Aparna Chandramowlishwaran; JeeWhan Choi; Kamesh Madduri; Richard W. Vuduc (SPAA, 2012)

A massively parallel adaptive fast multipole method on heterogeneous architectures. - Ilya Lashuk; Aparna Chandramowlishwaran; Harper Langston; Tuan-Anh Nguyen; Rahul S. Sampath; Aashay Shringarpure; Richard W. Vuduc; Lexing Ying; Denis Zorin; George Biros (Commun. ACM, 2012)

A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method. - JeeWhan Choi; Aparna Chandramowlishwaran; Kamesh Madduri; Richard W. Vuduc (GPGPU@ASPLOS, 2014)

The fast multipole method at exascale. - Aparna Chandramowlishwaran (2014)

Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. - Rohit Zambre; Lars Bergstrom; Laleh Aghababaie Beni; Aparna Chandramowlishwaran (HiPC, 2016)

cudaCR: An In-Kernel Application-Level Checkpoint/Restart Scheme for CUDA-Enabled GPUs. - Behnam Pourghassemi; Aparna Chandramowlishwaran (CLUSTER, 2017)

PASCAL: A Parallel Algorithmic SCALable Framework for N-body Problems. - Laleh Aghababaie Beni; Aparna Chandramowlishwaran (Euro-Par, 2017)

Sugar: Secure GPU Acceleration in Web Browsers. - Zhihao Yao 001; Zongheng Ma; Yingtong Liu; Ardalan Amiri Sani; Aparna Chandramowlishwaran (ASPLOS, 2018)

Scalable Communication Endpoints for MPI+Threads Applications. - Rohit Zambre; Aparna Chandramowlishwaran; Pavan Balaji (ICPADS, 2018)

Roofline Guided Design and Analysis of a Multi-stencil CFD Solver for Multicore Performance. - Bahareh Mostafazadeh; Ferran Marti; Feng Liu; Aparna Chandramowlishwaran (IPDPS, 2018)

Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. - Shu-Mei Tseng; Bogdan Nicolae; George Bosilca; Emmanuel Jeannot; Aparna Chandramowlishwaran; Franck Cappello (Euro-Par, 2019)

Breaking Band: A Breakdown of High-performance Communication. - Rohit Zambre; Megan Grodowitz; Aparna Chandramowlishwaran; Pavel Shamis (ICPP, 2019)

Multi-criteria partitioning of multi-block structured grids. - Hengjie Wang; Aparna Chandramowlishwaran (ICS, 2019)

Portal: A High-Performance Language and Compiler for Parallel N-Body Problems. - Laleh Aghababaie Beni; Saikiran Ramanan; Aparna Chandramowlishwaran (IPDPS, 2019)

What-If Analysis of Page Load Time in Web Browsers Using Causal Profiling. - Behnam Pourghassemi; Ardalan Amiri Sani; Aparna Chandramowlishwaran (Proc. ACM Meas. Anal. Comput. Syst., 2019)

CFDNet: a deep learning-based accelerator for fluid simulations. - Octavi Obiols-Sales; Abhinav Vishnu; Nicholas Malaya; Aparna Chandramowlishwaran (ICS, 2020)

How I learned to stop worrying about user-visible endpoints and love MPI. - Rohit Zambre; Aparna Chandramowlishwaran; Pavan Balaji (ICS, 2020)

Pencil: a pipelined algorithm for distributed stencils. - Hengjie Wang; Aparna Chandramowlishwaran (SC, 2020)

On the Limits of Parallelizing Convolutional Neural Networks on GPUs. - Behnam Pourghassemi; Chenghao Zhang; Joo Hwan Lee; Aparna Chandramowlishwaran (SPAA, 2020)

Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs. - Behnam Pourghassemi; Chenghao Zhang; Joo Hwan Lee; Aparna Chandramowlishwaran (CoRR, 2020)

Only Relative Speed Matters: Virtual Causal Profiling. - Behnam Pourghassemi; Ardalan Amiri Sani; Aparna Chandramowlishwaran (SIGMETRICS Perform. Evaluation Rev., 2020)

SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets. - Octavi Obiols-Sales; Abhinav Vishnu; Nicholas Malaya; Aparna Chandramowlishwaran (PACT, 2021)

Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models. - Hengjie Wang; Robert Planas; Aparna Chandramowlishwaran; Ramin Bostanabad (CoRR, 2021)

Demystifying asynchronous I/O Interference in HPC applications. - Shu-Mei Tseng; Bogdan Nicolae; Franck Cappello; Aparna Chandramowlishwaran (Int. J. High Perform. Comput. Appl., 2021)

Optimizing the hypre solver for manycore and GPU architectures. - Damodar Sahasrabudhe; Rohit Zambre; Aparna Chandramowlishwaran; Martin Berzins (J. Comput. Sci., 2021)

adPerf: Characterizing the Performance of Third-party Ads. - Behnam Pourghassemi; Jordan Bonecutter; Zhou Li 001; Aparna Chandramowlishwaran (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Logically Parallel Communication for Fast MPI+Threads Applications. - Rohit Zambre; Damodar Sahasrabudhe; Hui Zhou 012; Martin Berzins; Aparna Chandramowlishwaran; Pavan Balaji (IEEE Trans. Parallel Distributed Syst., 2021)

Lessons Learned on MPI+Threads Communication. - Rohit Zambre; Aparna Chandramowlishwaran (SC, 2022)

NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows. - Octavi Obiols-Sales; Abhinav Vishnu; Nicholas Malaya; Aparna Chandramowlishwaran (CoRR, 2022)

ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. - Octavi Obiols-Sales; Abhinav Vishnu; Nicholas Malaya; Aparna Chandramowlishwaran (ICPP, 2023)

BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning. - Sheikh Md Shakeel Hassan; Arthur Feeney; Akash Dhruv; Jihoon Kim; Youngjoon Suh; Jaiyoung Ryu; Yoonjin Won; Aparna Chandramowlishwaran (NeurIPS, 2023)

Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. - Arthur Feeney; Zitong Li; Ramin Bostanabad; Aparna Chandramowlishwaran (SC, 2023)

BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning. - Sheikh Md Shakeel Hassan; Arthur Feeney; Akash Dhruv; Jihoon Kim; Youngjoon Suh; Jaiyoung Ryu; Yoonjin Won; Aparna Chandramowlishwaran (CoRR, 2023)

BERN-NN-IBF: Enhancing Neural Network Bound Propagation Through Implicit Bernstein Form and Optimized Tensor Operations. - Wael Fatnassi; Arthur Feeney; Valen Yamamoto; Aparna Chandramowlishwaran; Yasser Shoukry (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Fused3S: Fast Sparse Attention on Tensor Cores. - Zitong Li; Aparna Chandramowlishwaran (CoRR, 2025)

Mondrian: Transformer Operators via Domain Decomposition. - Arthur Feeney; Kuei-Hsiang Huang; Aparna Chandramowlishwaran (CoRR, 2025)

Bubbleformer: Forecasting Boiling with Transformers. - Sheikh Md Shakeel Hassan; Xianwei Zou; Akash Dhruv; Vishwanath Ganesan; Aparna Chandramowlishwaran (CoRR, 2025)