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Aparna Chandramowlishwaran
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2020 – today
- 2023
- [c34]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. ICPP 2023: 524-534 - [c33]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 - [c32]Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran:
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. SC 2023: 80:1-80:15 - [i13]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 abs/2307.14623 (2023) - [i12]Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran:
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. CoRR abs/2308.14258 (2023) - 2022
- [c31]Rohit Zambre, Aparna Chandramowlishwaran:
Lessons Learned on MPI+Threads Communication. SC 2022: 77:1-77:16 - [i11]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows. CoRR abs/2203.14154 (2022) - [i10]Rohit Zambre, Aparna Chandramowlishwaran:
Lessons Learned on MPI+Threads Communication. CoRR abs/2206.14285 (2022) - 2021
- [j7]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) - [j6]Damodar Sahasrabudhe, Rohit Zambre, Aparna Chandramowlishwaran, Martin Berzins:
Optimizing the hypre solver for manycore and GPU architectures. J. Comput. Sci. 49: 101279 (2021) - [j5]Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran:
adPerf: Characterizing the Performance of Third-party Ads. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 03:1-03:26 (2021) - [j4]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): 3038-3052 (2021) - [c30]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets. PACT 2021: 331-344 - [c29]Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran:
adPerf: Characterizing the Performance of Third-party Ads. SIGMETRICS (Abstracts) 2021: 37-38 - [i9]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 abs/2104.10873 (2021) - [i8]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets. CoRR abs/2108.07667 (2021) - 2020
- [j3]Behnam Pourghassemi, Ardalan Amiri Sani, Aparna Chandramowlishwaran:
Only Relative Speed Matters: Virtual Causal Profiling. SIGMETRICS Perform. Evaluation Rev. 48(3): 113-119 (2020) - [c28]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
CFDNet: a deep learning-based accelerator for fluid simulations. ICS 2020: 3:1-3:12 - [c27]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
How I learned to stop worrying about user-visible endpoints and love MPI. ICS 2020: 35:1-35:13 - [c26]Hengjie Wang, Aparna Chandramowlishwaran:
Pencil: a pipelined algorithm for distributed stencils. SC 2020: 85 - [c25]Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran:
On the Limits of Parallelizing Convolutional Neural Networks on GPUs. SPAA 2020: 567-569 - [i7]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
Scalable Communication Endpoints for MPI+Threads Applications. CoRR abs/2002.02509 (2020) - [i6]Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis:
Breaking Band: A Breakdown of High-performance Communication. CoRR abs/2002.02563 (2020) - [i5]Rohit Zambre, Lars Bergstrom, Laleh Aghababaie Beni, Aparna Chandramowlishwaran:
Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. CoRR abs/2002.03850 (2020) - [i4]Behnam Pourghassemi, Jordan Bonecutter, Zhou Li, Aparna Chandramowlishwaran:
adPerf: Characterizing the Performance of Third-party Ads. CoRR abs/2002.05666 (2020) - [i3]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI. CoRR abs/2005.00263 (2020) - [i2]Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
CFDNet: a deep learning-based accelerator for fluid simulations. CoRR abs/2005.04485 (2020) - [i1]Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran:
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs. CoRR abs/2005.13823 (2020)
2010 – 2019
- 2019
- [j2]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): 27:1-27:23 (2019) - [c24]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: 47-60 - [c23]Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis:
Breaking Band: A Breakdown of High-performance Communication. ICPP 2019: 47:1-47:10 - [c22]Hengjie Wang, Aparna Chandramowlishwaran:
Multi-criteria partitioning of multi-block structured grids. ICS 2019: 261-271 - [c21]Laleh Aghababaie Beni, Saikiran Ramanan, Aparna Chandramowlishwaran:
Portal: A High-Performance Language and Compiler for Parallel N-Body Problems. IPDPS 2019: 984-995 - [c20]Behnam Pourghassemi, Ardalan Amiri Sani, Aparna Chandramowlishwaran:
What-If Analysis of Page Load Time in Web Browsers Using Causal Profiling. SIGMETRICS (Abstracts) 2019: 87-88 - 2018
- [c19]Zhihao Yao, Zongheng Ma, Yingtong Liu, Ardalan Amiri Sani, Aparna Chandramowlishwaran:
Sugar: Secure GPU Acceleration in Web Browsers. ASPLOS 2018: 519-534 - [c18]Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
Scalable Communication Endpoints for MPI+Threads Applications. ICPADS 2018: 803-812 - [c17]Bahareh Mostafazadeh, Ferran Marti, Feng Liu, Aparna Chandramowlishwaran:
Roofline Guided Design and Analysis of a Multi-stencil CFD Solver for Multicore Performance. IPDPS 2018: 753-762 - 2017
- [c16]Behnam Pourghassemi, Aparna Chandramowlishwaran:
cudaCR: An In-Kernel Application-Level Checkpoint/Restart Scheme for CUDA-Enabled GPUs. CLUSTER 2017: 725-732 - [c15]Laleh Aghababaie Beni, Aparna Chandramowlishwaran:
PASCAL: A Parallel Algorithmic SCALable Framework for N-body Problems. Euro-Par 2017: 482-496 - 2016
- [c14]Rohit Zambre, Lars Bergstrom, Laleh Aghababaie Beni, Aparna Chandramowlishwaran:
Parallel Performance-Energy Predictive Modeling of Browsers: Case Study of Servo. HiPC 2016: 22-31 - 2014
- [b1]Aparna Chandramowlishwaran:
The fast multipole method at exascale. Georgia Institute of Technology, Atlanta, GA, USA, 2014 - [c13]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: 64 - 2012
- [j1]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): 101-109 (2012) - [c12]Richard W. Vuduc, Kenneth Czechowski, Aparna Chandramowlishwaran, JeeWhan Choi:
Courses in High-performance Computing for Scientists and Engineers. IPDPS Workshops 2012: 1335-1340 - [c11]Aparna Chandramowlishwaran, Richard W. Vuduc:
Communication-Optimal Parallel N-body Solvers. IPDPS Workshops 2012: 2462-2465 - [c10]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: 182-184 - 2011
- [c9]Kent Czechowski, Casey Battaglino, Chris McClanahan, Aparna Chandramowlishwaran, Richard W. Vuduc:
Balance Principles for Algorithm-Architecture Co-Design. HotPar 2011 - 2010
- [c8]Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc:
Performance evaluation of concurrent collections on high-performance multicore computing systems. IPDPS 2010: 1-12 - [c7]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: 1-12 - [c6]Aparna Chandramowlishwaran, Kathleen Knobe, Richard W. Vuduc:
Applying the concurrent collections programming model to asynchronous parallel dense linear algebra. PPoPP 2010: 345-346 - [c5]Aparna Chandramowlishwaran, Kamesh Madduri, Richard W. Vuduc:
Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method. SC 2010: 1-12 - [c4]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: 1-11
2000 – 2009
- 2009
- [c3]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: 47-58 - [c2]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 - 2008
- [c1]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: 520-527
Coauthor Index
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last updated on 2024-05-08 21:52 CEST by the dblp team
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