Joseph B. Manzano

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 39

Top Topics

Machine Learning

Top Venues

IPDPS Workshops

Conf. Computing Frontiers

Publications

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) (2024)
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)
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)
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)
Omer Subasi, Johnathan Cree, Joseph B. Manzano, Elena Peterson
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection. CoRR (2024)
Omer Subasi, Joseph B. Manzano, Kevin Barker
Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CSR (2023)
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)
Omer Subasi, Oceane Bel, Joseph B. Manzano, Kevin Barker
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning. CoRR (2023)
Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker
Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC (2023)
Brett Foster, Shubbhi Taneja, Joseph B. Manzano, Kevin Barker
Evaluating Energy Efficiency of GPUs using Machine Learning Benchmarks. IPDPS Workshops (2023)
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)
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)
Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). PARMA-DITAM@HiPEAC (2022)
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)
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)
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) (2022)
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)
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) (2022)
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 (2022)
Omer Subasi, Joseph B. Manzano, Kevin J. Barker
Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CoRR (2021)
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)
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)
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 (2021)
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)
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)
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)
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)
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)
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)
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)
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)
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 (2017)
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)
Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily
User-transparent Distributed TensorFlow. CoRR (2017)
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)
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)
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)
Joshua D. Suetterlein, Joshua Landwehr, Andrès Márquez, Joseph B. Manzano, Guang R. Gao
Extending the Roofline Model for Asynchronous Many-Task Runtimes. CLUSTER (2016)
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)
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)
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)
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)
Sunil Shrestha, Guang R. Gao, Joseph B. Manzano, Andrès Márquez, John Feo
Locality aware concurrent start for stencil applications. CGO (2015)
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)
Sunil Shrestha, Joseph B. Manzano, Andrès Márquez, John Feo, Guang R. Gao
Jagged Tiling for Intra-tile Parallelism and Fine-Grain Multithreading. LCPC (2014)
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)
Juergen Ributzka, Joseph B. Manzano, Guang R. Gao
The Role of Non-strict Fine-grain Synchronization. High Performance Computing Workshop (2) (2012)
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) (2012)
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)
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)
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)
Ge Gan, Joseph B. Manzano
TL-DAE: Thread-Level Decoupled Access/Execution for OpenMP on the Cyclops-64 Many-Core Processor. LCPC (2009)
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)
Ge Gan, Xu Wang, Joseph B. Manzano, Guang R. Gao
Tile Reduction: The First Step towards Tile Aware Parallelization in OpenMP. IWOMP (2009)
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)
Joseph B. Manzano, Ziang Hu, Yi Jiang, Ge Gan, Hyo-Jung Song, Jung-Gyu Park
Toward an Automatic Code Layout Methodology. IWOMP (2007)
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)
Haiping Wu, Ziang Hu, Joseph B. Manzano, Guang R. Gao
Madd Operation Aware Redundancy Elimination. Int. J. Softw. Eng. Knowl. Eng. 15 (2) (2005)
Haiping Wu, Ziang Hu, Joseph B. Manzano, Yingping Zhang, Guang R. Gao
Identifying Multiply-Add Operations in Kylin Compiler. ESA (2005)
Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano
Software De-Pipelining Technique. SCAM (2004)
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)
Bogong Su, Jian Wang, Erh-Wen Hu, Joseph B. Manzano
De-pipeline a software-pipelined loop. ICASSP (2) (2003)