| 2022 | An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. | Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2022 | Keynote 2: Into the world of Exascale Computing & Beyond - India's opportunity. | Karthikeyan Balakrishnan |
| 2022 | Keynote 2: Into the world of Exascale Computing & Beyond - India's opportunity. | Karthikeyan Balakrishnan |
| 2022 | Verifiable and Practical Compliance for Data Privacy Laws. | Manu Awasthi |
| 2022 | memwalkd : Accelerating Key-value stores using Page Table Walkers. | Ravi Shreyas Anupindi, Swaroop Kotni, Arkaprava Basu |
| 2022 | AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters. | Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2022 | A Hands-on Approach for Scalable Parallel Applications Development: From Testbed to Petascale. | Deepak Aggarwal, Arkaprava Bokshi, Deep Lad |
| 2021 | Towards an Integral System for Processing Big Graphs at Scale. | Jingren Zhou |
| 2021 | Exploring Thread Coarsening on FPGA. | Mostafa Eghbali Zarch, Reece Neff, Michela Becchi |
| 2021 | Model-based Reinforcement Learning for Elastic Stream Processing in Edge Computing. | Jinlai Xu, Balaji Palanisamy |
| 2021 | Faster Parallel Training of Word Embeddings. | Eliza Wszola, Martin Jaggi, Markus Pschel |
| 2021 | Accelerating JPEG Decompression on GPUs. | Andr Weienberger, Bertil Schmidt |
| 2021 | EduHiPC 2021 Keynote Talk: Early Parallel and Distributed Computing Education: Canary in the Coal Mine. | Charles C. Weems |
| 2021 | Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. | Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar |
| 2021 | Online Learning Platform for Application-Inspired Cloud and DevOps Curriculum. | Songjie Wang, Roshan Neupane, Ashish Pandey, Xiyao Cheng, Prasad Calyam |
| 2021 | HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. | Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren |
| 2021 | Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. | Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | BEE Orchestrator: Running Complex Scientific Workflows on Multiple Systems. | Jacob Tronge, Patricia Grubel, Timothy Randles, Quincy Wofford, Rusty Davis, Steven Anaya, Qiang Guan |
| 2021 | Static Graphs for Coding Productivity in OpenACC. | Leonel Toledo, Pedro Valero-Lara, Jeffrey S. Vetter, Antonio J. Pea |
| 2021 | AI4IO: A Suite of Ai-Based Tools for IO-Aware HPC Resource Management. | Michela Taufer |
| 2021 | CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems. | Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, Katsuki Fujisawa |
| 2021 | The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. | Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato |
| 2021 | Layout-aware Hardware-assisted Designs for Derived Data Types in MPI. | Kaushik Kandadi Suresh, Bharath Ramesh, Chen-Chun Chen, Seyedeh Mahdieh Ghazimirsaeed, Mohammadreza Bayatpour, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2021 | OpenACC Multi-GPU Approach for WSM6 Microphysics. | Hrcules Cardoso da Silva, Marco Aurelio Stefanes, Vincius Capistrano |
| 2021 | We Need Community Effort to Achieve PDC Adoption! | Erik Saule, Kalpathi R. Subramanian, Jamie Payton |