Joseph B. Manzano

71 papers A* 2A 13B 4C 4Misc 4Journal 13Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Towards Scheduling of Pipelined Dataflow Graphs in MLIR. FPGA Gabriel Rodriguez-Canal, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Maurice Jamieson, Nick Brown
2025	A	`conf`	Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. ICCAD M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo
2025	J	`jnl`	Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore, Joshua Suetterlein, Joseph B. Manzano
2025	—	`conf`	miniGiraffe: A Pangenomic Mapping Proxy App. IISWC Jessica Imlau Dagostini, Joseph B. Manzano, Tyler Sorensen, Scott Beamer
2024	J	`jnl`	A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection. CoRR Omer Subasi, Johnathan Cree, Joseph B. Manzano, Elena Peterson
2024	C	`conf`	A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. SBAC-PAD Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker
2024	J	`jnl`	Analysis and Benchmarking of feature reduction for classification under computational constraints. Mach. Learn. Sci. Technol. Omer Subasi, Sayan Ghosh, Joseph B. Manzano, Bruce Palmer, Andrés Márquez
2024	B	`conf`	Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
2024	—	`conf`	Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures. CF Oceane Bel, Burcu Ozcelik Mutlu, Joseph B. Manzano, Cimone Wright-Hamor, Omer Subasi, Kevin J. Barker
2024	A	`conf`	Extending High-Level Synthesis with AI/ML Methods. ICCAD Nicolas Bohm Agostini, Giovanni Gozzi, Michele Fiorito, Claudio Barone, Serena Curzel, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Fabrizio Ferrandi, Antonino Tumeo
2024	—	`conf`	HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters. HPEC Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Nathan R. Tallent, Ryan D. Friese, Kevin J. Barker, Timothy Stavenger
2024	—	`conf`	Synchronization for CXL Based Memory. MEMSYS Joshua Suetterlein, Joseph B. Manzano, Andres Marquez
2024	B	`conf`	Towards Automated Generation of Chiplet-Based Systems Invited Paper. ASPDAC 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
2023	C	`conf`	Assessing Risk in High Performance Computing Attacks. ICISSP Erika A. Leal, Cimone Wright-Hamor, Joseph B. Manzano, Nicholas J. Multari, Kevin J. Barker, David O. Manz, Jiang Ming
2023	Misc	`conf`	Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CSR Omer Subasi, Joseph B. Manzano, Kevin J. Barker
2023	—	`conf`	Evaluating Energy Efficiency of GPUs using Machine Learning Benchmarks. IPDPS Workshops Brett Foster, Shubbhi Taneja, Joseph B. Manzano, Kevin J. Barker
2023	—	`conf`	Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker
2023	J	`jnl`	The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning. CoRR Omer Subasi, Oceane Bel, Joseph B. Manzano, Kevin J. Barker
2023	—	`conf`	Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. ASP-DAC Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi
2022	A	`conf`	An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo
2022	J	`jnl`	Bridging Python to Silicon: The SODA Toolchain. IEEE Micro 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
2022	J	`jnl`	End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers 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
2022	J	`jnl`	Extending an asynchronous runtime system for high throughput applications: A case study. J. Parallel Distributed Comput. Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao
2022	—	`conf`	From High-Level Frameworks to custom Silicon with SODA. HCS 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
2022	—	`conf`	SO(DA) PARMA-DITAM@HiPEAC Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
2022	A	`conf`	SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. ICCAD Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi
2022	A*	`conf`	The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. DAC Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi
2021	A	`conf`	Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD 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
2021	J	`jnl`	Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CoRR Omer Subasi, Joseph B. Manzano, Kevin J. Barker
2021	—	`conf`	LC-MEMENTO: A Memory Model for Accelerated Architectures. LCPC Kiran Ranganath, Jesun Firoz, Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Mark Raugas, Daniel Wong
2021	J	`jnl`	MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers. CoRR Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
2021	A	`conf`	MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. SC Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
2021	—	`conf`	Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP 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
2020	A*	`conf`	Invited: Software Defined Accelerators From Learning Tools Environment. DAC Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
2020	Misc	`conf`	On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance. HiPC Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao
2020	A	`conf`	SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. ICCAD Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei
2019	A	`conf`	A Parallel Graph Environment for Real-World Data Analytics Workflows. DATE 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
2018	Misc	`conf`	Characterization of the Impact of Soft Errors on Iterative Methods. HiPC Burcu Ozcelik Mutlu, Gokcen Kestor, Joseph B. Manzano, Osman S. Unsal, Samrat Chatterjee, Sriram Krishnamoorthy
2018	—	`conf`	Comparative analysis of soft-error detection strategies: a case study with iterative methods. CF Gokcen Kestor, Burcu Ozcelik Mutlu, Joseph B. Manzano, Omer Subasi, Osman S. Unsal, Sriram Krishnamoorthy
2017	—	`conf`	Designing Scalable Distributed Memory Models: A Case Study. Conf. Computing Frontiers Joshua Landwehr, Joshua Suetterlein, Joseph B. Manzano, Andrés Márquez, Kevin J. Barker, Guang R. Gao
2017	J	`jnl`	Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. J. Parallel Distributed Comput. Ajay Panyala, Daniel G. Chavarría-Miranda, Joseph B. Manzano, Antonino Tumeo, Mahantesh Halappanavar
2017	J	`jnl`	User-transparent Distributed TensorFlow. CoRR Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily
2017	—	`conf`	Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. ESPM2@SC Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao
2016	A	`conf`	Algorithm and Architecture Independent Benchmarking with SEAK. IPDPS Nathan R. Tallent, Joseph B. Manzano, Nitin A. Gawande, Seunghwa Kang, Darren J. Kerbyson, Adolfy Hoisie, Joseph K. Cross
2016	—	`conf`	Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing. Conf. Computing Frontiers Joshua Landwehr, Joshua Suetterlein, Andres Marquez, Joseph B. Manzano, Guang R. Gao
2016	—	`conf`	Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime. IPDPS Workshops Joshua Suetterlein, Joshua Landwehr, Andrés Márquez, Joseph B. Manzano, Guang R. Gao
2016	C	`conf`	Extending the Roofline Model for Asynchronous Many-Task Runtimes. CLUSTER Joshua D. Suetterlein, Joshua Landwehr, Andrés Márquez, Joseph B. Manzano, Guang R. Gao
2015	—	`conf`	Gregarious Data Re-structuring in a Many Core Architecture. HPCC/CSS/ICESS Sunil Shrestha, Joseph B. Manzano, Andrés Márquez, Stéphane Zuckerman, Shuaiwen Song, Guang R. Gao
2015	A	`conf`	Locality aware concurrent start for stencil applications. CGO Sunil Shrestha, Guang R. Gao, Joseph B. Manzano, Andrés Márquez, John Feo
2015	—	`conf`	On the Impact of Execution Models: A Case Study in Computational Chemistry. IPDPS Workshops Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano, Abhinav Vishnu, Adolfy Hoisie
2015	—	`conf`	Optimizing irregular applications for energy and performance on the Tilera many-core architecture. Conf. Computing Frontiers Daniel G. Chavarría-Miranda, Ajay Panyala, Mahantesh Halappanavar, Joseph B. Manzano, Antonino Tumeo
2015	—	`conf`	Power and performance trade-offs for Space Time Adaptive Processing. ASAP Nitin A. Gawande, Joseph B. Manzano, Antonino Tumeo, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
2015	—	`ed.`	Proceedings of the 3rd International Workshop on Energy Efficient Supercomputing, E2SC 2015, Austin, Texas, USA, November 15, 2015 E2SC@SC Kirk W. Cameron, Adolfy Hoisie, Darren J. Kerbyson, David K. Lowenthal, Dimitrios S. Nikolopoulos, Sudha Yalamanchili, Laura Carrington, Joseph B. Manzano
2014	B	`conf`	ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution. ICPADS Andres Marquez, Joseph B. Manzano, Shuaiwen Leon Song, Benoît Meister, Sunil Shrestha, Thomas St. John, Guang R. Gao
2014	—	`conf`	Jagged Tiling for Intra-tile Parallelism and Fine-Grain Multithreading. LCPC Sunil Shrestha, Joseph B. Manzano, Andrés Márquez, John Feo, Guang R. Gao
2012	J	`jnl`	Fast and Accurate Simulation of the Cray XMT Multithreaded Supercomputer. IEEE Trans. Parallel Distributed Syst. Oreste Villa, Antonino Tumeo, Simone Secchi, Joseph B. Manzano
2012	Misc	`conf`	The Role of Non-strict Fine-grain Synchronization. High Performance Computing Workshop (2) Juergen Ributzka, Joseph B. Manzano, Guang R. Gao
2011	—	`conf`	OPELL and PM: A Case Study on Porting Shared Memory Programming Models to Accelerators Architectures. LCPC Joseph B. Manzano, Ge Gan, Juergen Ributzka, Sunil Shrestha, Guang R. Gao
2011	A	`conf`	The elephant and the mice: the role of non-strict fine-grain synchronization for modern many-core architectures. ICS Juergen Ributzka, Yuhei Hayashi, Joseph B. Manzano, Guang R. Gao
2010	—	`conf`	A Study of a Software Cache Implementation of the OpenMP Memory Model for Multicore and Manycore Architectures. Euro-Par (2) Chen Chen, Joseph B. Manzano, Ge Gan, Guang R. Gao, Vivek Sarkar
2009	—	`conf`	TL-DAE: Thread-Level Decoupled Access/Execution for OpenMP on the Cyclops-64 Many-Core Processor. LCPC Ge Gan, Joseph B. Manzano
2009	—	`conf`	Tile Percolation: An OpenMP Tile Aware Parallelization Technique for the Cyclops-64 Multicore Processor. Euro-Par Ge Gan, Xu Wang, Joseph B. Manzano, Guang R. Gao
2009	—	`conf`	Tile Reduction: The First Step towards Tile Aware Parallelization in OpenMP. IWOMP Ge Gan, Xu Wang, Joseph B. Manzano, Guang R. Gao
2008	B	`conf`	A Quantitative Study of the On-Chip Network and Memory Hierarchy Design for Many-Core Processor. ICPADS Xu Wang, Ge Gan, Joseph B. Manzano, Dongrui Fan, Shuxu Guo
2007	—	`conf`	Toward an Automatic Code Layout Methodology. IWOMP Joseph B. Manzano, Ziang Hu, Yi Jiang, Ge Gan, Hyo-Jung Song, Jung-Gyu Park
2006	—	`conf`	A User-Friendly Methodology for Automatic Exploration of Compiler Options. Software Engineering Research and Practice Haiping Wu, Long Chen, Joseph B. Manzano, Guang R. Gao
2005	A	`conf`	Identifying Multiply-Add Operations in Kylin Compiler. ESA Haiping Wu, Ziang Hu, Joseph B. Manzano, Yingping Zhang, Guang R. Gao
2005	J	`jnl`	Madd Operation Aware Redundancy Elimination. Int. J. Softw. Eng. Knowl. Eng. Haiping Wu, Ziang Hu, Joseph B. Manzano, Guang R. Gao
2004	—	`conf`	Loop optimization with tradeoff between cycle count and code size for DSP applications. EUSIPCO Bogong Su, Jian Wang, Rafi Rabipour, Erh-Wen Hu, Joseph B. Manzano
2004	C	`conf`	Software De-Pipelining Technique. SCAM Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano
2003	—	`conf`	De-pipeline a software-pipelined loop. ICASSP (2) Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano