Michela Becchi

96 papers A* 3A 20B 19Misc 7Journal 16Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Comprehensive Analysis of Graph Neural Networks Training at Different Scales. IISWC Mostafa Eghbali Zarch, Michela Becchi
2025	A	`conf`	DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. ICS 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
2025	—	`conf`	Exploring Lossy Compression of Activation Data for Emerging AI Accelerators: A Case Study on the Graphcore IPU. IISWC Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2024	A	`conf`	A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2024	B	`conf`	A Transducers-based Programming Framework for Efficient Data Transformation. PACT Tri Nguyen, Michela Becchi
2024	A	`conf`	FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2024	A	`conf`	Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2024	B	`conf`	Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. ICPP Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi
2024	J	`jnl`	\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar
2023	—	`conf`	A Code Transformation to Improve the Efficiency of OpenCL Code on FPGA through Pipes. CF Mostafa Eghbali Zarch, Michela Becchi
2023	A	`conf`	Evaluating Asynchronous Parallel I/O on HPC Systems. IPDPS John Ravi, Suren Byna, Quincey Koziol, Houjun Tang, Michela Becchi
2023	J	`jnl`	Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2023	A	`conf`	GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello
2023	—	`conf`	High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization. CF Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi
2023	A	`conf`	Lightweight Huffman Coding for Efficient GPU Compression. ICS Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2023	B	`conf`	Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGrid John Ravi, Suren Byna, Michela Becchi
2023	—	`conf`	Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGridW John Ravi, Suren Byna, Michela Becchi
2022	Misc	`conf`	A GPU-accelerated Data Transformation Framework Rooted in Pushdown Transducers. HIPC Tri Nguyen, Michela Becchi
2022	B	`conf`	Accelerating Random Forest Classification on GPU and FPGA. ICPP Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi
2022	B	`conf`	Data Transformation Acceleration using Deterministic Finite-State Transducers. IEEE Big Data Marziyeh Nourian, Tri Nguyen, Andrew A. Chien, Michela Becchi
2022	J	`jnl`	Enabling The Feed-Forward Design Model in OpenCL Using Pipes. CoRR Mostafa Eghbali Zarch, Michela Becchi
2022	J	`jnl`	Exploring Thread Coarsening on FPGA. CoRR Mostafa Eghbali Zarch, Reece Neff, Michela Becchi
2021	Misc	`conf`	Exploring Thread Coarsening on FPGA. HiPC Mostafa Eghbali Zarch, Reece Neff, Michela Becchi
2021	Misc	`conf`	PILOT: a Runtime System to Manage Multi-tenant GPU Unified Memory Footprint. HiPC John Ravi, Tri Nguyen, Huiyang Zhou, Michela Becchi
2020	A	`conf`	A Flexible and Scalable NTT Hardware : Applications from Homomorphically Encrypted Deep Learning to Post-Quantum Cryptography. DATE Ahmet Can Mert, Emre Karabulut, Erdinç Öztürk, Erkay Savas, Michela Becchi, Aydin Aysu
2020	B	`conf`	A Loop-Aware Autotuner for High-Precision Floating-Point Applications. ISPASS Ruidong Gu, Paul Beata, Michela Becchi
2020	A	`conf`	Evaluating Thread Coarsening and Low-cost Synchronization on Intel Xeon Phi. IPDPS Hancheng Wu, Michela Becchi
2020	A	`conf`	GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting. IPDPS Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao
2020	Misc	`conf`	GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU. HiPC Ruidong Gu, Michela Becchi
2020	B	`conf`	Optimizing Complex OpenCL Code for FPGA: A Case Study on Finite Automata Traversal. ICPADS Marziyeh Nourian, Mostafa Eghbali Zarch, Michela Becchi
2019	—	`conf`	A comparative study of parallel programming frameworks for distributed GPU applications. CF Ruidong Gu, Michela Becchi
2019	—	`conf`	Characterizing the Performance/Accuracy Tradeoff of High-Precision Applications via Auto-tuning. IISWC Ruidong Gu, Paul Beata, Michela Becchi
2019	J	`jnl`	Editorial: Special Issue on Computing Frontiers. J. Signal Process. Syst. Francesca Palumbo, Michela Becchi
2019	J	`jnl`	Evaluating High Performance Pattern Matching on the Automata Processor. IEEE Trans. Computers Indranil Roy, Ankit Srivastava, Matt Grimm, Marziyeh Nourian, Michela Becchi, Srinivas Aluru
2019	—	`ed.`	Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Italy, April 30 - May 2, 2019. CF Francesca Palumbo, Michela Becchi, Martin Schulz, Kento Sato
2018	B	`conf`	A Compiler Framework for Fixed-Topology Non-Deterministic Finite Automata on SIMD Platforms. ICPADS Marziyeh Nourian, Hancheng Wu, Michela Becchi
2018	Misc	`conf`	Compiling SIMT Programs on Multi- and Many-Core Processors with Wide Vector Units: A Case Study with CUDA. HiPC Hancheng Wu, John Ravi, Michela Becchi
2017	Misc	`conf`	A Memory-Efficient GPU Method for Hamming and Levenshtein Distance Similarity. HiPC Andrew Todd, Marziyeh Nourian, Michela Becchi
2017	J	`jnl`	A Principled Approach to Secure Multi-core Processor Design with ReWire. ACM Trans. Embed. Comput. Syst. Adam M. Procter, William L. Harrison, Ian Graves, Michela Becchi, Gerard Allwein
2017	B	`conf`	An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms. ICPADS Hancheng Wu, Michela Becchi
2017	A	`conf`	Demystifying automata processing: GPUs, FPGAs or Micron's AP? ICS Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi
2017	J	`jnl`	Fast Integral Histogram Computations on GPU for Real-Time Video Analytics. CoRR Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman
2017	—	`conf`	Understanding the performance-accuracy tradeoffs of floating-point arithmetic on GPUs. IISWC Sruthikesh Surineni, Ruidong Gu, Huyen Nguyen, Michela Becchi
2016	—	`conf`	A programming model for reconfigurable computing based in functional concurrency. ReCoSoC William L. Harrison, Ian Graves, Adam M. Procter, Michela Becchi, Gerard Allwein
2016	J	`jnl`	Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU. CoRR Hancheng Wu, Da Li, Michela Becchi
2016	A	`conf`	Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU. IPDPS Hancheng Wu, Da Li, Michela Becchi
2016	—	`conf`	Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs. BDCloud-SocialCom-SustainCom Da Li, Xinbo Chen, Michela Becchi, Ziliang Zong
2016	A	`conf`	High Performance Pattern Matching Using the Automata Processor. IPDPS Indranil Roy, Ankit Srivastava, Marziyeh Nourian, Michela Becchi, Srinivas Aluru
2016	—	`conf`	IVM: a task-based shared memory programming model and runtime system to enable uniform access to CPU-GPU clusters. Conf. Computing Frontiers Kittisak Sajjapongse, Ruidong Gu, Michela Becchi
2016	—	`conf`	O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. ANCS Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao, Michela Becchi
2016	B	`conf`	Parallel Gene Upstream Comparison via Multi-Level Hash Tables on GPU. ICPADS Andrew Todd, Huan Truong, Justin Deters, John Long, Gavin C. Conant, Michela Becchi
2016	J	`jnl`	Picking Pesky Parameters: Optimizing Regular Expression Matching in Practice. IEEE Trans. Parallel Distributed Syst. Xinming Chen, Brandon Jones, Michela Becchi, Tilman Wolf
2015	A*	`conf`	Accelerating regular expression matching over compressed HTTP. INFOCOM Michela Becchi, Anat Bremler-Barr, David Hay, Omer Kochba, Yaron Koral
2015	—	`conf`	Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs. COSMIC@CGO Da Li, Hancheng Wu, Michela Becchi
2015	A*	`conf`	Fast support for unstructured data processing: the unified automata processor. MICRO Yuanwei Fang, Tung Thanh Hoang, Michela Becchi, Andrew A. Chien
2015	—	`conf`	Hardware Synthesis from Functional Embedded Domain-Specific Languages: A Case Study in Regular Expression Compilation. ARC Ian Graves, Adam M. Procter, William L. Harrison, Michela Becchi, Gerard Allwein
2015	B	`conf`	Improving Application Concurrency on GPUs by Managing Implicit and Explicit Synchronizations. ICPADS Michael Butler, Kittisak Sajjapongse, Michela Becchi
2015	B	`conf`	Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations. ICPP Da Li, Hancheng Wu, Michela Becchi
2015	B	`conf`	Semantics Driven Hardware Design, Implementation, and Verification with ReWire. LCTES Adam M. Procter, William L. Harrison, Ian Graves, Michela Becchi, Gerard Allwein
2014	Misc	`conf`	A flexible scheduling framework for heterogeneous CPU-GPU clusters. HiPC Kittisak Sajjapongse, Tejaswi Agarwal, Michela Becchi
2014	B	`conf`	Design of a hybrid MPI-CUDA benchmark suite for CPU-GPU clusters. PACT Tejaswi Agarwal, Michela Becchi
2014	B	`conf`	GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors. ICPADS Da Li, Srimat T. Chakradhar, Michela Becchi
2014	J	`jnl`	Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space. J. Signal Process. Syst. Huan Truong, Da Li, Kittisak Sajjapongse, Gavin C. Conant, Michela Becchi
2014	J	`jnl`	Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence. IEEE J. Sel. Areas Commun. Xiaodong Yu, Bill Lin, Michela Becchi
2013	—	`conf`	A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets. ASAP Da Li, Kittisak Sajjapongse, Huan Truong, Gavin C. Conant, Michela Becchi
2013	A	`conf`	A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs. HPDC Kittisak Sajjapongse, Xiang Wang, Michela Becchi
2013	J	`jnl`	A-DFA: A Time- and Space-Efficient DFA Compression Algorithm for Fast Regular Expression Evaluation. ACM Trans. Archit. Code Optim. Michela Becchi, Patrick Crowley
2013	A	`conf`	Deploying Graph Algorithms on GPUs: An Adaptive Solution. IPDPS Da Li, Michela Becchi
2013	B	`conf`	Exploring different automata representations for efficient regular expression matching on GPUs. PPoPP Xiaodong Yu, Michela Becchi
2013	—	`conf`	GPU acceleration of regular expression matching for large datasets: exploring the implementation space. Conf. Computing Frontiers Xiaodong Yu, Michela Becchi
2013	—	`conf`	Picking pesky parameters: Optimizing regular expression matching in practice. ANCS Xinming Chen, Brandon Jones, Michela Becchi, Tilman Wolf
2013	J	`jnl`	Scheduling concurrent applications on a cluster of CPU-GPU nodes. Future Gener. Comput. Syst. Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
2013	—	`conf`	Semantics-directed machine architecture in ReWire. FPT Adam M. Procter, William L. Harrison, Ian Graves, Michela Becchi, Gerard Allwein
2012	J	`jnl`	A Massively Parallel, Energy Efficient Programmable Accelerator for Learning and Classification. ACM Trans. Archit. Code Optim. Abhinandan Majumdar, Srihari Cadambi, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf
2012	A	`conf`	A virtual memory based runtime to support multi-tenancy in clusters with GPUs. HPDC Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar
2012	—	`conf`	Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. SC Companion Da Li, Michela Becchi
2012	—	`conf`	Efficient GPU Implementation of the Integral Histogram. ACCV Workshops (1) Mahdieh Poostchi, Kannappan Palaniappan, Filiz Bunyak, Michela Becchi, Guna Seetharaman
2012	—	`conf`	Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications SSV Chris Hathhorn, Michela Becchi, William L. Harrison, Adam M. Procter
2012	—	`conf`	Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. SC Companion Da Li, Michela Becchi
2012	B	`conf`	Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. CCGRID Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
2012	A	`conf`	ValuePack: value-based scheduling framework for CPU-GPU clusters. SC Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
2011	A	`conf`	Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. HPDC Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
2010	B	`conf`	A programmable parallel accelerator for learning and classification. PACT Srihari Cadambi, Abhinandan Majumdar, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf
2010	B	`conf`	Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory. SPAA Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat T. Chakradhar
2009	—	`conf`	Evaluating regular expression matching engines on network and general purpose processors. ANCS Michela Becchi, Charlie Wiseman, Patrick Crowley
2008	—	`conf`	A remotely accessible network processor-based router for network experimentation. ANCS Charlie Wiseman, Jonathan S. Turner, Michela Becchi, Patrick Crowley, John D. DeHart, Mart Haitjema, Shakir James, Fred Kuhns, Jing Lu, Jyoti Parwatikar, Ritun Patney, Michael Wilson, Ken Wong, David Zar
2008	—	`conf`	A workload for evaluating deep packet inspection architectures. IISWC Michela Becchi, Mark A. Franklin, Patrick Crowley
2008	J	`jnl`	Dynamic Thread Assignment on Heterogeneous Multiprocessor Architectures. J. Instr. Level Parallelism Michela Becchi, Patrick Crowley
2008	—	`conf`	Efficient regular expression evaluation: theory to practice. ANCS Michela Becchi, Patrick Crowley
2008	A	`conf`	Extending finite automata to efficiently match Perl-compatible regular expressions. CoNEXT Michela Becchi, Patrick Crowley
2007	A	`conf`	A hybrid finite automaton for practical deep packet inspection. CoNEXT Michela Becchi, Patrick Crowley
2007	—	`conf`	An improved algorithm to accelerate regular expression evaluation. ANCS Michela Becchi, Patrick Crowley
2007	A*	`conf`	Memory-Efficient Regular Expression Search Using State Merging. INFOCOM Michela Becchi, Srihari Cadambi
2007	—	`conf`	Performance/area efficiency in chip multiprocessors with micro-caches. Conf. Computing Frontiers Michela Becchi, Mark A. Franklin, Patrick Crowley
2006	—	`conf`	CAMP: fast and efficient IP lookup architecture. ANCS Sailesh Kumar, Michela Becchi, Patrick Crowley, Jonathan S. Turner
2006	—	`conf`	Dynamic thread assignment on heterogeneous multiprocessor architectures. Conf. Computing Frontiers Michela Becchi, Patrick Crowley