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2020 – today
- 2024
[c76]Tri Nguyen
, Michela Becchi:
A Transducers-based Programming Framework for Efficient Data Transformation. PACT 2024: 66-77- [c75]Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC 2024: 109-121 - [c74]Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi:
Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. ICPP 2024: 845-855 - [c73]Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi:
FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS 2024: 38-49 - [c72]S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar:
Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS 2024: 241-252 - [i6]S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar:
\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR abs/2401.06713 (2024) - 2023
- [c71]John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGrid 2023: 229-239 - [c70]John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGridW 2023: 340-342 - [c69]Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi:
High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization. CF 2023: 12-22 - [c68]Mostafa Eghbali Zarch, Michela Becchi:
A Code Transformation to Improve the Efficiency of OpenCL Code on FPGA through Pipes. CF 2023: 101-111 - [c67]Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
Lightweight Huffman Coding for Efficient GPU Compression. ICS 2023: 99-110 - [c66]John Ravi, Suren Byna, Quincey Koziol, Houjun Tang, Michela Becchi:
Evaluating Asynchronous Parallel I/O on HPC Systems. IPDPS 2023: 211-221 - [c65]Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello:
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS 2023: 757-767 - [i5]Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi:
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR abs/2311.10201 (2023) - 2022
- [c64]Marziyeh Nourian, Tri Nguyen, Andrew A. Chien, Michela Becchi:
Data Transformation Acceleration using Deterministic Finite-State Transducers. IEEE Big Data 2022: 141-150 - [c63]Tri Nguyen, Michela Becchi:
A GPU-accelerated Data Transformation Framework Rooted in Pushdown Transducers. HIPC 2022: 215-225 - [c62]Milan Shah, Reece Neff, Hancheng Wu, Marco Minutoli, Antonino Tumeo, Michela Becchi:
Accelerating Random Forest Classification on GPU and FPGA. ICPP 2022: 4:1-4:11 - [i4]Mostafa Eghbali Zarch, Reece Neff, Michela Becchi:
Exploring Thread Coarsening on FPGA. CoRR abs/2208.11890 (2022) - [i3]Mostafa Eghbali Zarch, Michela Becchi:
Enabling The Feed-Forward Design Model in OpenCL Using Pipes. CoRR abs/2208.13364 (2022) - 2021
- [c61]Mostafa Eghbali Zarch, Reece Neff, Michela Becchi:
Exploring Thread Coarsening on FPGA. HiPC 2021: 436-441 - [c60]John Ravi, Tri Nguyen, Huiyang Zhou, Michela Becchi:
PILOT: a Runtime System to Manage Multi-tenant GPU Unified Memory Footprint. HiPC 2021: 442-447 - 2020
- [c59]Ahmet Can Mert, Emre Karabulut, Erdinç Öztürk, Erkay Savas, Michela Becchi, Aydin Aysu:
A Flexible and Scalable NTT Hardware : Applications from Homomorphically Encrypted Deep Learning to Post-Quantum Cryptography. DATE 2020: 346-351 - [c58]Ruidong Gu, Michela Becchi:
GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU. HiPC 2020: 294-304 - [c57]Marziyeh Nourian, Mostafa Eghbali Zarch, Michela Becchi:
Optimizing Complex OpenCL Code for FPGA: A Case Study on Finite Automata Traversal. ICPADS 2020: 518-527 - [c56]Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao:
GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting. IPDPS 2020: 274-284 - [c55]Hancheng Wu, Michela Becchi:
Evaluating Thread Coarsening and Low-cost Synchronization on Intel Xeon Phi. IPDPS 2020: 1018-1029 - [c54]Ruidong Gu, Paul Beata, Michela Becchi:
A Loop-Aware Autotuner for High-Precision Floating-Point Applications. ISPASS 2020: 285-295
2010 – 2019
- 2019
- [j10]Indranil Roy, Ankit Srivastava, Matt Grimm, Marziyeh Nourian, Michela Becchi, Srinivas Aluru:
Evaluating High Performance Pattern Matching on the Automata Processor. IEEE Trans. Computers 68(8): 1201-1212 (2019) - [j9]Francesca Palumbo, Michela Becchi:
Editorial: Special Issue on Computing Frontiers. J. Signal Process. Syst. 91(3-4): 273 (2019) - [c53]Ruidong Gu, Michela Becchi:
A comparative study of parallel programming frameworks for distributed GPU applications. CF 2019: 268-273 - [c52]Ruidong Gu, Paul Beata, Michela Becchi:
Characterizing the Performance/Accuracy Tradeoff of High-Precision Applications via Auto-tuning. IISWC 2019: 268-272 - [e1]Francesca Palumbo, Michela Becchi, Martin Schulz, Kento Sato:
Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Italy, April 30 - May 2, 2019. ACM 2019, ISBN 978-1-4503-6685-4 [contents] - 2018
- [c51]Hancheng Wu, John Ravi, Michela Becchi:
Compiling SIMT Programs on Multi- and Many-Core Processors with Wide Vector Units: A Case Study with CUDA. HiPC 2018: 123-132 - [c50]Marziyeh Nourian, Hancheng Wu, Michela Becchi:
A Compiler Framework for Fixed-Topology Non-Deterministic Finite Automata on SIMD Platforms. ICPADS 2018: 507-516 - 2017
- [j8]Adam M. Procter, William L. Harrison, Ian Graves, Michela Becchi, Gerard Allwein:
A Principled Approach to Secure Multi-core Processor Design with ReWire. ACM Trans. Embed. Comput. Syst. 16(2): 33:1-33:25 (2017) - [c49]Andrew Todd, Marziyeh Nourian, Michela Becchi:
A Memory-Efficient GPU Method for Hamming and Levenshtein Distance Similarity. HiPC 2017: 408-418 - [c48]Hancheng Wu, Michela Becchi:
An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms. ICPADS 2017: 586-595 - [c47]Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi:
Demystifying automata processing: GPUs, FPGAs or Micron's AP? ICS 2017: 1:1-1:11 - [c46]Sruthikesh Surineni, Ruidong Gu, Huyen Nguyen, Michela Becchi:
Understanding the performance-accuracy tradeoffs of floating-point arithmetic on GPUs. IISWC 2017: 207-218 - [i2]Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman:
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics. CoRR abs/1711.01919 (2017) - 2016
- [j7]Xinming Chen, Brandon Jones, Michela Becchi, Tilman Wolf:
Picking Pesky Parameters: Optimizing Regular Expression Matching in Practice. IEEE Trans. Parallel Distributed Syst. 27(5): 1430-1442 (2016) - [c45]Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao, Michela Becchi:
O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. ANCS 2016: 1-11 - [c44]Da Li, Xinbo Chen, Michela Becchi, Ziliang Zong:
Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs. BDCloud-SocialCom-SustainCom 2016: 477-484 - [c43]Kittisak Sajjapongse, Ruidong Gu, Michela Becchi:
IVM: a task-based shared memory programming model and runtime system to enable uniform access to CPU-GPU clusters. Conf. Computing Frontiers 2016: 154-163 - [c42]Andrew Todd, Huan Truong, Justin Deters, John Long, Gavin C. Conant, Michela Becchi:
Parallel Gene Upstream Comparison via Multi-Level Hash Tables on GPU. ICPADS 2016: 1049-1058 - [c41]Hancheng Wu, Da Li, Michela Becchi:
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU. IPDPS 2016: 534-543 - [c40]Indranil Roy, Ankit Srivastava, Marziyeh Nourian, Michela Becchi, Srinivas Aluru:
High Performance Pattern Matching Using the Automata Processor. IPDPS 2016: 1123-1132 - [c39]William L. Harrison, Ian Graves, Adam M. Procter, Michela Becchi, Gerard Allwein:
A programming model for reconfigurable computing based in functional concurrency. ReCoSoC 2016: 1-8 - [i1]Hancheng Wu, Da Li, Michela Becchi:
Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU. CoRR abs/1606.08150 (2016) - 2015
- [c38]Ian Graves, Adam M. Procter, William L. Harrison, Michela Becchi, Gerard Allwein:
Hardware Synthesis from Functional Embedded Domain-Specific Languages: A Case Study in Regular Expression Compilation. ARC 2015: 41-52 - [c37]Da Li, Hancheng Wu, Michela Becchi:
Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs. COSMIC@CGO 2015: 5:1 - [c36]Michael Butler, Kittisak Sajjapongse, Michela Becchi:
Improving Application Concurrency on GPUs by Managing Implicit and Explicit Synchronizations. ICPADS 2015: 535-544 - [c35]Da Li, Hancheng Wu, Michela Becchi:
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations. ICPP 2015: 979-988 - [c34]Michela Becchi, Anat Bremler-Barr, David Hay, Omer Kochba, Yaron Koral:
Accelerating regular expression matching over compressed HTTP. INFOCOM 2015: 540-548 - [c33]Adam M. Procter, William L. Harrison, Ian Graves, Michela Becchi, Gerard Allwein:
Semantics Driven Hardware Design, Implementation, and Verification with ReWire. LCTES 2015: 13:1-13:10 - [c32]Yuanwei Fang, Tung Thanh Hoang, Michela Becchi, Andrew A. Chien:
Fast support for unstructured data processing: the unified automata processor. MICRO 2015: 533-545 - 2014
- [j6]Xiaodong Yu, Bill Lin, Michela Becchi:
Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence. IEEE J. Sel. Areas Commun. 32(10): 1822-1833 (2014) - [j5]Huan Truong, Da Li, Kittisak Sajjapongse, Gavin C. Conant, Michela Becchi:
Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space. J. Signal Process. Syst. 77(1-2): 131-149 (2014) - [c31]Tejaswi Agarwal, Michela Becchi:
Design of a hybrid MPI-CUDA benchmark suite for CPU-GPU clusters. PACT 2014: 505-506 - [c30]Kittisak Sajjapongse, Tejaswi Agarwal, Michela Becchi:
A flexible scheduling framework for heterogeneous CPU-GPU clusters. HiPC 2014: 1-11 - [c29]Da Li, Srimat T. Chakradhar, Michela Becchi:
GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors. ICPADS 2014: 174-182 - 2013
- [j4]Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar:
Scheduling concurrent applications on a cluster of CPU-GPU nodes. Future Gener. Comput. Syst. 29(8): 2262-2271 (2013) - [j3]Michela Becchi, Patrick Crowley:
A-DFA: A Time- and Space-Efficient DFA Compression Algorithm for Fast Regular Expression Evaluation. ACM Trans. Archit. Code Optim. 10(1): 4:1-4:26 (2013) - [c28]Xinming Chen, Brandon Jones, Michela Becchi, Tilman Wolf:
Picking pesky parameters: Optimizing regular expression matching in practice. ANCS 2013: 203-213 - [c27]Da Li, Kittisak Sajjapongse, Huan Truong, Gavin C. Conant, Michela Becchi:
A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets. ASAP 2013: 329-338 - [c26]Xiaodong Yu, Michela Becchi:
GPU acceleration of regular expression matching for large datasets: exploring the implementation space. Conf. Computing Frontiers 2013: 18:1-18:10 - [c25]Adam M. Procter, William L. Harrison, Ian Graves, Michela Becchi, Gerard Allwein:
Semantics-directed machine architecture in ReWire. FPT 2013: 446-449 - [c24]Kittisak Sajjapongse, Xiang Wang, Michela Becchi:
A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs. HPDC 2013: 179-190 - [c23]Da Li, Michela Becchi:
Deploying Graph Algorithms on GPUs: An Adaptive Solution. IPDPS 2013: 1013-1024 - [c22]Xiaodong Yu, Michela Becchi:
Exploring different automata representations for efficient regular expression matching on GPUs. PPoPP 2013: 287-288 - 2012
- [j2]Abhinandan Majumdar, Srihari Cadambi, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf:
A Massively Parallel, Energy Efficient Programmable Accelerator for Learning and Classification. ACM Trans. Archit. Code Optim. 9(1): 6:1-6:30 (2012) - [c21]Mahdieh Poostchi, Kannappan Palaniappan, Filiz Bunyak, Michela Becchi, Guna Seetharaman:
Efficient GPU Implementation of the Integral Histogram. ACCV Workshops (1) 2012: 266-278 - [c20]Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar:
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. CCGRID 2012: 140-147 - [c19]Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam M. Procter, Vignesh T. Ravi, Srimat T. Chakradhar:
A virtual memory based runtime to support multi-tenancy in clusters with GPUs. HPDC 2012: 97-108 - [c18]Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar:
ValuePack: value-based scheduling framework for CPU-GPU clusters. SC 2012: 53 - [c17]Da Li, Michela Becchi:
Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. SC Companion 2012: 1471-1472 - [c16]Da Li, Michela Becchi:
Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. SC Companion 2012: 1473 - [c15]Chris Hathhorn, Michela Becchi, William L. Harrison, Adam M. Procter:
Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications. SSV 2012: 115-124 - 2011
- [c14]Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar:
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. HPDC 2011: 217-228 - 2010
- [c13]Srihari Cadambi, Abhinandan Majumdar, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf:
A programmable parallel accelerator for learning and classification. PACT 2010: 273-284 - [c12]Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat T. Chakradhar:
Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory. SPAA 2010: 82-91
2000 – 2009
- 2009
- [c11]Michela Becchi, Charlie Wiseman, Patrick Crowley:
Evaluating regular expression matching engines on network and general purpose processors. ANCS 2009: 30-39 - 2008
- [j1]Michela Becchi, Patrick Crowley:
Dynamic Thread Assignment on Heterogeneous Multiprocessor Architectures. J. Instr. Level Parallelism 10 (2008) - [c10]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:
A remotely accessible network processor-based router for network experimentation. ANCS 2008: 20-29 - [c9]Michela Becchi, Patrick Crowley:
Efficient regular expression evaluation: theory to practice. ANCS 2008: 50-59 - [c8]Michela Becchi, Patrick Crowley:
Extending finite automata to efficiently match Perl-compatible regular expressions. CoNEXT 2008: 25 - [c7]Michela Becchi, Mark A. Franklin, Patrick Crowley:
A workload for evaluating deep packet inspection architectures. IISWC 2008: 79-89 - 2007
- [c6]Michela Becchi, Patrick Crowley:
An improved algorithm to accelerate regular expression evaluation. ANCS 2007: 145-154 - [c5]Michela Becchi, Mark A. Franklin, Patrick Crowley:
Performance/area efficiency in chip multiprocessors with micro-caches. Conf. Computing Frontiers 2007: 247-258 - [c4]Michela Becchi, Patrick Crowley:
A hybrid finite automaton for practical deep packet inspection. CoNEXT 2007: 1 - [c3]Michela Becchi, Srihari Cadambi:
Memory-Efficient Regular Expression Search Using State Merging. INFOCOM 2007: 1064-1072 - 2006
- [c2]Sailesh Kumar, Michela Becchi, Patrick Crowley, Jonathan S. Turner:
CAMP: fast and efficient IP lookup architecture. ANCS 2006: 51-60 - [c1]Michela Becchi, Patrick Crowley:
Dynamic thread assignment on heterogeneous multiprocessor architectures. Conf. Computing Frontiers 2006: 29-40
Coauthor Index
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