| 2025 | ICS | DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. | Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar |
| 2024 | HPDC | A Portable, Fast, DCT-based Compressor for AI Accelerators. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2024 | ICPP | Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. | Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi |
| 2024 | ICS | FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. | Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi |
| 2023 | CCGRID | Runway: In-transit Data Compression on Heterogeneous HPC Systems. | John Ravi, Suren Byna, Michela Becchi |
| 2023 | CCGRID | Runway: In-transit Data Compression on Heterogeneous HPC Systems. | John Ravi, Suren Byna, Michela Becchi |
| 2023 | ICS | Lightweight Huffman Coding for Efficient GPU Compression. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2022 | HiPC | A GPU-accelerated Data Transformation Framework Rooted in Pushdown Transducers. | Tri Nguyen, Michela Becchi |
| 2022 | ICPP | Accelerating Random Forest Classification on GPU and FPGA. | Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi |
| 2021 | HiPC | PILOT: a Runtime System to Manage Multi-tenant GPU Unified Memory Footprint. | John Ravi, Tri Nguyen, Huiyang Zhou, Michela Becchi |
| 2021 | HiPC | Exploring Thread Coarsening on FPGA. | Mostafa Eghbali Zarch, Reece Neff, Michela Becchi |
| 2020 | DATE | A Flexible and Scalable NTT Hardware : Applications from Homomorphically Encrypted Deep Learning to Post-Quantum Cryptography. | Ahmet Can Mert, Emre Karabulut, Erdin ztrk, Erkay Savas, Michela Becchi, Aydin Aysu |
| 2020 | HiPC | GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU. | Ruidong Gu, Michela Becchi |
| 2020 | ICPADS | Optimizing Complex OpenCL Code for FPGA: A Case Study on Finite Automata Traversal. | Marziyeh Nourian, Mostafa Eghbali Zarch, Michela Becchi |
| 2020 | ISPASS | A Loop-Aware Autotuner for High-Precision Floating-Point Applications. | Ruidong Gu, Paul Beata, Michela Becchi |
| 2018 | HiPC | Compiling SIMT Programs on Multi- and Many-Core Processors with Wide Vector Units: A Case Study with CUDA. | Hancheng Wu, John Ravi, Michela Becchi |
| 2018 | ICPADS | A Compiler Framework for Fixed-Topology Non-Deterministic Finite Automata on SIMD Platforms. | Marziyeh Nourian, Hancheng Wu, Michela Becchi |
| 2017 | HiPC | A Memory-Efficient GPU Method for Hamming and Levenshtein Distance Similarity. | Andrew Todd, Marziyeh Nourian, Michela Becchi |
| 2017 | ICPADS | An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms. | Hancheng Wu, Michela Becchi |
| 2017 | ICS | Demystifying automata processing: GPUs, FPGAs or Micron's AP? | Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi |
| 2016 | ICPADS | Parallel Gene Upstream Comparison via Multi-Level Hash Tables on GPU. | Andrew Todd, Huan Truong, Justin Deters, John Long, Gavin C. Conant, Michela Becchi |
| 2015 | CGO | Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs. | Da Li, Hancheng Wu, Michela Becchi |
| 2015 | ICPADS | Improving Application Concurrency on GPUs by Managing Implicit and Explicit Synchronizations. | Michael Butler, Kittisak Sajjapongse, Michela Becchi |
| 2015 | ICPP | Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations. | Da Li, Hancheng Wu, Michela Becchi |
| 2015 | INFOCOM | Accelerating regular expression matching over compressed HTTP. | Michela Becchi, Anat Bremler-Barr, David Hay, Omer Kochba, Yaron Koral |
| 2015 | MICRO | Fast support for unstructured data processing: the unified automata processor. | Yuanwei Fang, Tung Thanh Hoang, Michela Becchi, Andrew A. Chien |
| 2014 | HiPC | A flexible scheduling framework for heterogeneous CPU-GPU clusters. | Kittisak Sajjapongse, Tejaswi Agarwal, Michela Becchi |
| 2014 | ICPADS | GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors. | Da Li, Srimat T. Chakradhar, Michela Becchi |
| 2013 | HPDC | A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs. | Kittisak Sajjapongse, Xiang Wang, Michela Becchi |
| 2013 | PPoPP | Exploring different automata representations for efficient regular expression matching on GPUs. | Xiaodong Yu, Michela Becchi |
| 2012 | ACCV | Efficient GPU Implementation of the Integral Histogram. | Mahdieh Poostchi, Kannappan Palaniappan, Filiz Bunyak, Michela Becchi, Guna Seetharaman |
| 2012 | CCGRID | Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. | Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar |
| 2012 | HPDC | A virtual memory based runtime to support multi-tenancy in clusters with GPUs. | Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar |
| 2012 | SC | Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. | Da Li, Michela Becchi |
| 2012 | SC | Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. | Da Li, Michela Becchi |
| 2012 | SC | ValuePack: value-based scheduling framework for CPU-GPU clusters. | Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar |
| 2011 | HPDC | Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. | Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar |
| 2010 | SPAA | Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory. | Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat T. Chakradhar |
| 2008 | CoNEXT | Extending finite automata to efficiently match Perl-compatible regular expressions. | Michela Becchi, Patrick Crowley |
| 2007 | CoNEXT | A hybrid finite automaton for practical deep packet inspection. | Michela Becchi, Patrick Crowley |
| 2007 | INFOCOM | Memory-Efficient Regular Expression Search Using State Merging. | Michela Becchi, Srihari Cadambi |