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ORCIDJoseph B. Manzano
Joseph B. Manzano Franco
Person information
- affiliation: Pacific Northwest National Laboratory (PNNL), Richland, USA
- affiliation: University of Delaware, Newark, Department of Electrical and Computer Engineering
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2020 – today
- 2024
[j7]Omer Subasi
, Sayan Ghosh, Joseph B. Manzano, Bruce Palmer, Andrés Márquez:
Analysis and Benchmarking of feature reduction for classification under computational constraints. Mach. Learn. Sci. Technol. 5(2): 20501 (2024)- [c50]Ankur Limaye, Claudio Barone, Nicolas Bohm Agostini, Marco Minutoli, Joseph B. Manzano, Vito Giovanni Castellana, Giovanni Gozzi, Michele Fiorito, Serena Curzel, Fabrizio Ferrandi, Antonino Tumeo:
Towards Automated Generation of Chiplet-Based Systems Invited Paper. ASPDAC 2024: 771-776 - [c49]Oceane Bel, Burcu Ozcelik Mutlu, Joseph B. Manzano, Cimone Wright-Hamor, Omer Subasi, Kevin J. Barker:
Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures. CF 2024 - [c48]Joshua Suetterlein, Stephen J. Young, J. esun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger:
Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS 2024: 310-312 - [i5]Omer Subasi, Johnathan Cree, Joseph B. Manzano, Elena Peterson:
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection. CoRR abs/2407.04009 (2024) - 2023
- [c47]Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi:
Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. ASP-DAC 2023: 632-638 - [c46]Omer Subasi, Joseph B. Manzano, Kevin Barker:
Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CSR 2023: 219-226 - [c45]Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker:
Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC 2023: 1-9 - [c44]Erika A. Leal, Cimone Wright-Hamor, Joseph B. Manzano, Nicholas J. Multari, Kevin J. Barker, David O. Manz, Jiang Ming:
Assessing Risk in High Performance Computing Attacks. ICISSP 2023: 793-803 - [c43]Brett Foster, Shubbhi Taneja, Joseph B. Manzano, Kevin Barker:
Evaluating Energy Efficiency of GPUs using Machine Learning Benchmarks. IPDPS Workshops 2023: 42-50 - [i4]Omer Subasi, Oceane Bel, Joseph B. Manzano, Kevin Barker:
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning. CoRR abs/2312.03120 (2023) - 2022
- [j6]Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao:
Extending an asynchronous runtime system for high throughput applications: A case study. J. Parallel Distributed Comput. 163: 214-231 (2022) - [j5]Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo:
Bridging Python to Silicon: The SODA Toolchain. IEEE Micro 42(5): 78-88 (2022) - [j4]Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo:
End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers 71(12): 3074-3087 (2022) - [c42]Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi:
The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. DAC 2022: 1359-1362 - [c41]Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano:
SO(DA)2: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). PARMA-DITAM@HiPEAC 2022: 1:1-1:15 - [c40]Serena Curzel, Nicolas Bohm Agostini, Reece Neff, Ankur Limaye, Jeff Jun Zhang, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo:
From High-Level Frameworks to custom Silicon with SODA. HCS 2022: 1-13 - [c39]Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo:
An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD 2022: 6:1-6:9 - [c38]Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi:
SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. ICCAD 2022: 18:1-18:7 - 2021
- [c37]Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks:
Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP 2021: 218-225 - [c36]Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo:
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD 2021: 1-7 - [c35]Kiran Ranganath, Jesun Firoz, Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Mark Raugas, Daniel Wong:
LC-MEMENTO: A Memory Model for Accelerated Architectures. LCPC 2021: 67-82 - [c34]Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong:
MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. SC 2021: 99 - [i3]Omer Subasi, Joseph B. Manzano, Kevin J. Barker:
Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CoRR abs/2109.08758 (2021) - [i2]Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong:
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers. CoRR abs/2110.03214 (2021) - 2020
- [c33]Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei:
Invited: Software Defined Accelerators From Learning Tools Environment. DAC 2020: 1-6 - [c32]Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao:
On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance. HiPC 2020: 233-242 - [c31]Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei:
SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. ICCAD 2020: 98:1-98:7
2010 – 2019
- 2019
- [c30]Vito Giovanni Castellana, Maurizio Drocco, John Feo, Jesun Sahariar Firoz, Thejaka Amila Kanewala, Andrew Lumsdaine, Joseph B. Manzano, Andres Marquez, Marco Minutoli, Joshua Suetterlein, Antonino Tumeo, Marcin Zalewski:
A Parallel Graph Environment for Real-World Data Analytics Workflows. DATE 2019: 1313-1318 - 2018
- [c29]Gokcen Kestor, Burcu Ozcelik Mutlu, Joseph B. Manzano, Omer Subasi, Osman S. Unsal, Sriram Krishnamoorthy:
Comparative analysis of soft-error detection strategies: a case study with iterative methods. CF 2018: 173-182 - [c28]Burcu Ozcelik Mutlu, Gokcen Kestor, Joseph B. Manzano, Osman S. Unsal, Samrat Chatterjee, Sriram Krishnamoorthy:
Characterization of the Impact of Soft Errors on Iterative Methods. HiPC 2018: 203-214 - 2017
- [j3]Ajay Panyala, Daniel G. Chavarría-Miranda, Joseph B. Manzano, Antonino Tumeo, Mahantesh Halappanavar:
Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. J. Parallel Distributed Comput. 104: 234-251 (2017) - [c27]Joshua Landwehr, Joshua Suetterlein, Joseph B. Manzano, Andrès Márquez, Kevin J. Barker, Guang R. Gao:
Designing Scalable Distributed Memory Models: A Case Study. Conf. Computing Frontiers 2017: 174-182 - [c26]Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao:
Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. ESPM2@SC 2017: 6:1-6:8 - [i1]Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily:
User-transparent Distributed TensorFlow. CoRR abs/1704.04560 (2017) - 2016
- [c25]Joshua Landwehr, Joshua Suetterlein, Andres Marquez, Joseph B. Manzano, Guang R. Gao:
Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing. Conf. Computing Frontiers 2016: 164-171 - [c24]Joshua D. Suetterlein, Joshua Landwehr, Andrès Márquez, Joseph B. Manzano, Guang R. Gao:
Extending the Roofline Model for Asynchronous Many-Task Runtimes. CLUSTER 2016: 493-496 - [c23]Nathan R. Tallent, Joseph B. Manzano, Nitin A. Gawande, Seunghwa Kang, Darren J. Kerbyson, Adolfy Hoisie, Joseph K. Cross:
Algorithm and Architecture Independent Benchmarking with SEAK. IPDPS 2016: 63-72 - [c22]Joshua Suetterlein, Joshua Landwehr, Andrès Márquez, Joseph B. Manzano, Guang R. Gao:
Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime. IPDPS Workshops 2016: 1744-1751 - 2015
- [c21]Nitin A. Gawande, Joseph B. Manzano, Antonino Tumeo, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie:
Power and performance trade-offs for Space Time Adaptive Processing. ASAP 2015: 41-48 - [c20]Daniel G. Chavarría-Miranda, Ajay Panyala, Mahantesh Halappanavar, Joseph B. Manzano, Antonino Tumeo:
Optimizing irregular applications for energy and performance on the Tilera many-core architecture. Conf. Computing Frontiers 2015: 12:1-12:8 - [c19]Sunil Shrestha, Guang R. Gao, Joseph B. Manzano, Andrès Márquez, John Feo:
Locality aware concurrent start for stencil applications. CGO 2015: 157-166 - [c18]Sunil Shrestha, Joseph B. Manzano, Andrès Márquez, Stéphane Zuckerman, Shuaiwen Song, Guang R. Gao:
Gregarious Data Re-structuring in a Many Core Architecture. HPCC/CSS/ICESS 2015: 712-720 - [c17]Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano, Abhinav Vishnu, Adolfy Hoisie:
On the Impact of Execution Models: A Case Study in Computational Chemistry. IPDPS Workshops 2015: 255-264 - [e1]Kirk W. Cameron, Adolfy Hoisie, Darren J. Kerbyson, David K. Lowenthal, Dimitrios S. Nikolopoulos, Sudha Yalamanchili, Laura Carrington, Joseph B. Manzano:
Proceedings of the 3rd International Workshop on Energy Efficient Supercomputing, E2SC 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-3994-0 [contents] - 2014
- [c16]Andres Marquez, Joseph B. Manzano, Shuaiwen Leon Song, Benoît Meister, Sunil Shrestha, Thomas St. John, Guang R. Gao:
ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution. ICPADS 2014: 289-297 - [c15]Sunil Shrestha, Joseph B. Manzano, Andrès Márquez, John Feo, Guang R. Gao:
Jagged Tiling for Intra-tile Parallelism and Fine-Grain Multithreading. LCPC 2014: 161-175 - 2012
- [j2]Oreste Villa, Antonino Tumeo, Simone Secchi, Joseph B. Manzano:
Fast and Accurate Simulation of the Cray XMT Multithreaded Supercomputer. IEEE Trans. Parallel Distributed Syst. 23(12): 2266-2279 (2012) - [c14]Juergen Ributzka, Joseph B. Manzano, Guang R. Gao:
The Role of Non-strict Fine-grain Synchronization. High Performance Computing Workshop (2) 2012: 121-140 - 2011
- [c13]Juergen Ributzka, Yuhei Hayashi, Joseph B. Manzano, Guang R. Gao:
The elephant and the mice: the role of non-strict fine-grain synchronization for modern many-core architectures. ICS 2011: 338-347 - [c12]Joseph B. Manzano, Ge Gan, Juergen Ributzka, Sunil Shrestha, Guang R. Gao:
OPELL and PM: A Case Study on Porting Shared Memory Programming Models to Accelerators Architectures. LCPC 2011: 106-123 - 2010
- [c11]Chen Chen, Joseph B. Manzano, Ge Gan, Guang R. Gao, Vivek Sarkar:
A Study of a Software Cache Implementation of the OpenMP Memory Model for Multicore and Manycore Architectures. Euro-Par (2) 2010: 341-352
2000 – 2009
- 2009
- [c10]Ge Gan, Xu Wang, Joseph B. Manzano, Guang R. Gao:
Tile Percolation: An OpenMP Tile Aware Parallelization Technique for the Cyclops-64 Multicore Processor. Euro-Par 2009: 839-850 - [c9]Ge Gan, Xu Wang, Joseph B. Manzano, Guang R. Gao:
Tile Reduction: The First Step towards Tile Aware Parallelization in OpenMP. IWOMP 2009: 140-153 - [c8]Ge Gan, Joseph B. Manzano:
TL-DAE: Thread-Level Decoupled Access/Execution for OpenMP on the Cyclops-64 Many-Core Processor. LCPC 2009: 80-94 - 2008
- [c7]Xu Wang, Ge Gan, Joseph B. Manzano, Dongrui Fan, Shuxu Guo:
A Quantitative Study of the On-Chip Network and Memory Hierarchy Design for Many-Core Processor. ICPADS 2008: 689-696 - 2007
- [c6]Joseph B. Manzano, Ziang Hu, Yi Jiang, Ge Gan, Hyo-Jung Song, Jung-Gyu Park:
Toward an Automatic Code Layout Methodology. IWOMP 2007: 157-160 - 2006
- [c5]Haiping Wu, Long Chen, Joseph B. Manzano, Guang R. Gao:
A User-Friendly Methodology for Automatic Exploration of Compiler Options. Software Engineering Research and Practice 2006: 873-882 - 2005
- [j1]Haiping Wu, Ziang Hu, Joseph B. Manzano, Guang R. Gao:
Madd Operation Aware Redundancy Elimination. Int. J. Softw. Eng. Knowl. Eng. 15(2): 357-362 (2005) - [c4]Haiping Wu, Ziang Hu, Joseph B. Manzano, Yingping Zhang, Guang R. Gao:
Identifying Multiply-Add Operations in Kylin Compiler. ESA 2005: 81-87 - 2004
- [c3]Bogong Su, Jian Wang, Rafi Rabipour, Erh-Wen Hu, Joseph B. Manzano:
Loop optimization with tradeoff between cycle count and code size for DSP applications. EUSIPCO 2004: 1357-1360 - [c2]Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano:
Software De-Pipelining Technique. SCAM 2004: 7-16 - 2003
- [c1]Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano:
De-pipeline a software-pipelined loop. ICASSP (2) 2003: 237-240
Coauthor Index
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