Joseph B. Manzano
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
20
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | FCCM | Towards Compiler-Driven Dynamic Partial Reconfiguration with MLIR. | Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo |
| 2026 | FPGA | Towards Scheduling of Pipelined Dataflow Graphs in MLIR. | Gabriel Rodriguez-Canal, Nicolas Bohm Agostini, Ankur Limaye, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Maurice Jamieson, Nick Brown |
| 2025 | CCGRID | Scaling Laws for the Workload Throughput of Emerging Heterogeneous Clusters. | Akhil Alasandagutti, Joshua Suetterlein, Jesun Firoz, Stephen J. Young, Joseph B. Manzano, Jason R. Stewart, Patrick G. Bridges, Trilce Estrada, Kevin J. Barker |
| 2025 | ICCAD | Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo |
| 2024 | ASPDAC | Towards Automated Generation of Chiplet-Based Systems Invited Paper. | 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 |
| 2024 | ICCAD | Extending High-Level Synthesis with AI/ML Methods. | 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 | ISPASS | Automatic Extraction of Network Configurations for Realistic Simulation and Validation. | Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger |
| 2024 | SBAC-PAD | A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. | Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker |
| 2023 | ASPDAC | Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. | Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi |
| 2023 | ICISSP | Assessing Risk in High Performance Computing Attacks. | Erika A. Leal, Cimone Wright-Hamor, Joseph B. Manzano, Nicholas J. Multari, Kevin J. Barker, David O. Manz, Jiang Ming |
| 2022 | DAC | The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. | Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi |
| 2022 | ICCAD | An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. | Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo |
| 2022 | ICCAD | SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. | Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi |
| 2021 | ICCAD | Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. | 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 | SC | MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. | Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong |
| 2020 | DAC | Invited: Software Defined Accelerators From Learning Tools Environment. | Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei |
| 2020 | HiPC | On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance. | Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao |
| 2020 | ICCAD | SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. | Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei |
| 2019 | DATE | A Parallel Graph Environment for Real-World Data Analytics Workflows. | 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 | HiPC | Characterization of the Impact of Soft Errors on Iterative Methods. | Burcu Ozcelik Mutlu, Gokcen Kestor, Joseph B. Manzano, Osman S. Unsal, Samrat Chatterjee, Sriram Krishnamoorthy |
| 2017 | SC | Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. | Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao |
| 2016 | CLUSTER | Extending the Roofline Model for Asynchronous Many-Task Runtimes. | Joshua D. Suetterlein, Joshua Landwehr, Andrs Mrquez, Joseph B. Manzano, Guang R. Gao |
| 2015 | CGO | Locality aware concurrent start for stencil applications. | Sunil Shrestha, Guang R. Gao, Joseph B. Manzano, Andrs Mrquez, John Feo |
| 2015 | HPCC | Gregarious Data Re-structuring in a Many Core Architecture. | Sunil Shrestha, Joseph B. Manzano, Andrs Mrquez, Stphane Zuckerman, Shuaiwen Song, Guang R. Gao |
| 2014 | ICPADS | ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution. | Andres Marquez, Joseph B. Manzano, Shuaiwen Leon Song, Benot Meister, Sunil Shrestha, Thomas St. John, Guang R. Gao |
| 2011 | ICS | The elephant and the mice: the role of non-strict fine-grain synchronization for modern many-core architectures. | Juergen Ributzka, Yuhei Hayashi, Joseph B. Manzano, Guang R. Gao |
| 2010 | EuroPar | A Study of a Software Cache Implementation of the OpenMP Memory Model for Multicore and Manycore Architectures. | Chen Chen, Joseph B. Manzano, Ge Gan, Guang R. Gao, Vivek Sarkar |
| 2009 | EuroPar | Tile Percolation: An OpenMP Tile Aware Parallelization Technique for the Cyclops-64 Multicore Processor. | Ge Gan, Xu Wang, Joseph B. Manzano, Guang R. Gao |
| 2008 | ICPADS | A Quantitative Study of the On-Chip Network and Memory Hierarchy Design for Many-Core Processor. | Xu Wang, Ge Gan, Joseph B. Manzano, Dongrui Fan, Shuxu Guo |
| 2004 | SCAM | Software De-Pipelining Technique. | Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano |
| 2003 | ICASSP | De-pipeline a software-pipelined loop. | Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano |