Aparna Chandramowlishwaran

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 40

Top Venues

CoRR

ICS

ICPP

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. SC (2023)
Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. CoRR (2023)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. ICPP (2023)
Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran
BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning. NeurIPS (2023)
Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning. CoRR (2023)
Rohit Zambre, Aparna Chandramowlishwaran
Lessons Learned on MPI+Threads Communication. CoRR (2022)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows. CoRR (2022)
Rohit Zambre, Aparna Chandramowlishwaran
Lessons Learned on MPI+Threads Communication. SC (2022)
Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran
adPerf: Characterizing the Performance of Third-party Ads. Proc. ACM Meas. Anal. Comput. Syst. 5 (1) (2021)
Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran
adPerf: Characterizing the Performance of Third-party Ads. SIGMETRICS (Abstracts) (2021)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets. CoRR (2021)
Rohit Zambre, Damodar Sahasrabudhe, Hui Zhou, Martin Berzins, Aparna Chandramowlishwaran, Pavan Balaji
Logically Parallel Communication for Fast MPI+Threads Applications. IEEE Trans. Parallel Distributed Syst. 32 (12) (2021)
Damodar Sahasrabudhe, Rohit Zambre, Aparna Chandramowlishwaran, Martin Berzins
Optimizing the hypre solver for manycore and GPU architectures. J. Comput. Sci. 49 (2021)
Shu-Mei Tseng, Bogdan Nicolae, Franck Cappello, Aparna Chandramowlishwaran
Demystifying asynchronous I/O Interference in HPC applications. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets. PACT (2021)
Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad
Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models. CoRR (2021)
Rohit Zambre, Lars Bergstrom, Laleh Aghababaie Beni, Aparna Chandramowlishwaran
Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. CoRR (2020)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
CFDNet: a deep learning-based accelerator for fluid simulations. ICS (2020)
Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis
Breaking Band: A Breakdown of High-performance Communication. CoRR (2020)
Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI. CoRR (2020)
Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs. CoRR (2020)
Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran
adPerf: Characterizing the Performance of Third-party Ads. CoRR (2020)
Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
Scalable Communication Endpoints for MPI+Threads Applications. CoRR (2020)
Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
How I learned to stop worrying about user-visible endpoints and love MPI. ICS (2020)
Behnam Pourghassemi, Ardalan Amiri Sani, Aparna Chandramowlishwaran
Only Relative Speed Matters: Virtual Causal Profiling. SIGMETRICS Perform. Evaluation Rev. 48 (3) (2020)
Hengjie Wang, Aparna Chandramowlishwaran
Pencil: a pipelined algorithm for distributed stencils. SC (2020)
Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran
On the Limits of Parallelizing Convolutional Neural Networks on GPUs. SPAA (2020)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
CFDNet: a deep learning-based accelerator for fluid simulations. CoRR (2020)
Laleh Aghababaie Beni, Saikiran Ramanan, Aparna Chandramowlishwaran
Portal: A High-Performance Language and Compiler for Parallel N-Body Problems. IPDPS (2019)
Behnam Pourghassemi, Ardalan Amiri Sani, Aparna Chandramowlishwaran
What-If Analysis of Page Load Time in Web Browsers Using Causal Profiling. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
Hengjie Wang, Aparna Chandramowlishwaran
Multi-criteria partitioning of multi-block structured grids. ICS (2019)
Behnam Pourghassemi, Ardalan Amiri Sani, Aparna Chandramowlishwaran
What-If Analysis of Page Load Time in Web Browsers Using Causal Profiling. SIGMETRICS (Abstracts) (2019)
Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello
Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. Euro-Par (2019)
Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis
Breaking Band: A Breakdown of High-performance Communication. ICPP (2019)
Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
Scalable Communication Endpoints for MPI+Threads Applications. ICPADS (2018)
Zhihao Yao, Zongheng Ma, Yingtong Liu, Ardalan Amiri Sani, Aparna Chandramowlishwaran
Sugar: Secure GPU Acceleration in Web Browsers. ASPLOS (2018)
Bahareh Mostafazadeh, Ferran Marti, Feng Liu, Aparna Chandramowlishwaran
Roofline Guided Design and Analysis of a Multi-stencil CFD Solver for Multicore Performance. IPDPS (2018)
Laleh Aghababaie Beni, Aparna Chandramowlishwaran
PASCAL: A Parallel Algorithmic SCALable Framework for N-body Problems. Euro-Par (2017)
Behnam Pourghassemi, Aparna Chandramowlishwaran
cudaCR: An In-Kernel Application-Level Checkpoint/Restart Scheme for CUDA-Enabled GPUs. CLUSTER (2017)
Rohit Zambre, Lars Bergstrom, Laleh Aghababaie Beni, Aparna Chandramowlishwaran
Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. HiPC (2016)
JeeWhan Choi, Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc
A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method. GPGPU@ASPLOS (2014)
Aparna Chandramowlishwaran, JeeWhan Choi, Kamesh Madduri, Richard W. Vuduc
Brief announcement: towards a communication optimal fast multipole method and its implications at exascale. SPAA (2012)
Richard W. Vuduc, Kenneth Czechowski, Aparna Chandramowlishwaran, JeeWhan Choi
Courses in High-performance Computing for Scientists and Engineers. IPDPS Workshops (2012)
Aparna Chandramowlishwaran, Richard W. Vuduc
Communication-Optimal Parallel N-body Solvers. IPDPS Workshops (2012)
Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul S. Sampath, Aashay Shringarpure, Richard W. Vuduc, Lexing Ying, Denis Zorin, George Biros
A massively parallel adaptive fast multipole method on heterogeneous architectures. Commun. ACM 55 (5) (2012)
Kent Czechowski, Casey Battaglino, Chris McClanahan, Aparna Chandramowlishwaran, Richard W. Vuduc
Balance Principles for Algorithm-Architecture Co-Design. HotPar (2011)
Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc
Applying the concurrent collections programming model to asynchronous parallel dense linear algebra. PPOPP (2010)
Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc
Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method. SC (2010)
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
Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures. SC (2010)
Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard W. Vuduc
Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures. IPDPS (2010)
Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc
Performance evaluation of concurrent collections on high-performance multicore computing systems. IPDPS (2010)
Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul S. Sampath, Aashay Shringarpure, Richard W. Vuduc, Lexing Ying, Denis Zorin, George Biros
A massively parallel adaptive fast-multipole method on heterogeneous architectures. SC (2009)
Zoran Budimlic, Aparna Chandramowlishwaran, Kathleen Knobe, Geoff N. Lowney, Vivek Sarkar, Leo Treggiari
Declarative aspects of memory management in the concurrent collections parallel programming model. DAMP (2009)
David A. Bader, Aparna Chandramowlishwaran, Virat Agarwal
On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis. ICPP (2008)

Aparna Chandramowlishwaran

Publication Activity (10 Years)

Top Topics

Top Venues