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ORCIDAntonino Tumeo
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- affiliation: Pacific Northwest National Laboratory, USA
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2020 – today
- 2024
[c114]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- [c113]Nicolas Bohm Agostini
, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO 2024: 143-157 - [c112]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 - [i6]Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo, David R. Kaeli, José Cano:
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR abs/2402.19184 (2024) - 2023
- [c111]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 - [c110]Reece Neff, Marco Minutoli, Antonino Tumeo, Michela Becchi:
High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization. CF 2023: 12-22 - [c109]Yixuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng:
ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. DAC 2023: 1-6 - [c108]Cheng Tan, Deepak Patil, Antonino Tumeo, Gabriel Weisz, Steven K. Reinhardt, Jeff Zhang:
VecPAC: A Vectorizable and Precision-Aware CGRA. ICCAD 2023: 1-9 - [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) - [i4]Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR abs/2312.14821 (2023) - 2022
- [j27]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) - [j26]Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. 111: 102898 (2022) - [j25]Marco Minutoli, Vito Giovanni Castellana, Nicola Saporetti, Stefano Devecchi, Marco Lattuada, Pietro Fezzardi, Antonino Tumeo, Fabrizio Ferrandi:
Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics. IEEE Trans. Computers 71(3): 520-533 (2022) - [j24]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) - [c107]Serena Curzel, Sofija Jovic, Michele Fiorito, Antonino Tumeo, Fabrizio Ferrandi:
MLIR Loop Optimizations for High-Level Synthesis: A Case Study. PACT 2022: 544-545 - [c106]Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer:
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. IEEE Big Data 2022: 1224-1229 - [c105]Nicolas Bohm Agostini, Serena Curzel, David R. Kaeli, Antonino Tumeo:
SODA-OPT an MLIR based flow for co-design and high-level synthesis. CF 2022: 201-202 - [c104]Serena Curzel, Nicolas Bohm Agostini, Antonino Tumeo, Fabrizio Ferrandi:
Hardware acceleration of complex machine learning models through modern high-level synthesis. CF 2022: 209-210 - [c103]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 - [c102]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 - [c101]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 - [c100]Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo:
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA 2022: 304-316 - [c99]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 - [c98]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 - [c97]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 - [c96]Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li:
ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. ICS 2022: 4:1-4:13 - 2021
- [j23]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The future is big graphs: a community view on graph processing systems. Commun. ACM 64(9): 62-71 (2021) - [j22]Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo:
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35(6): 553-571 (2021) - [j21]Ankur Limaye, Antonino Tumeo, Tosiron Adegbija:
Energy characterization of graph workloads. Sustain. Comput. Informatics Syst. 29(Part): 100465 (2021) - [j20]Xi Wang, Antonino Tumeo, John D. Leidel, Jie Li, Yong Chen:
HAM: Hotspot-Aware Manager for Improving Communications With 3D-Stacked Memory. IEEE Trans. Computers 70(6): 833-848 (2021) - [j19]Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li:
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. IEEE Trans. Parallel Distributed Syst. 32(12): 2880-2892 (2021) - [c95]Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo:
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP 2021: 149-155 - [c94]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 - [c93]Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo:
Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. DAC 2021: 1327-1330 - [c92]Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo:
AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. DATE 2021: 1388-1393 - [c91]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 - [c90]Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo:
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD 2021: 33-40 - [c89]Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
High-Level Synthesis of Parallel Specifications Coupling Static and Dynamic Controllers. IPDPS 2021: 192-202 - [e5]Maurizio Palesi, Antonino Tumeo, Georgios I. Goumas, Carmen G. Almudéver:
CF '21: Computing Frontiers Conference, Virtual Event, Italy, May 11-13, 2021. ACM 2021, ISBN 978-1-4503-8404-9 [contents] - 2020
- [j18]Antonino Tumeo, Fabrizio Petrini, John Feo, Mahantesh Halappanavar:
Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 1. ACM Trans. Parallel Comput. 7(1): 1:1-1:2 (2020) - [j17]Antonino Tumeo, Fabrizio Petrini, John Feo, Mahantesh Halappanavar:
Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 2. ACM Trans. Parallel Comput. 7(4): 23:1-23:2 (2020) - [c88]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 - [c87]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 - [c86]Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo:
OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs. ICCD 2020: 381-388 - [c85]Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
cuRipples: influence maximization on multi-GPU systems. ICS 2020: 12:1-12:11 - [c84]Scott McMillan, Manoj Kumar, Danai Koutra, Mahantesh Halappanavar, Tim Mattson, Antonino Tumeo:
Message from the workshop chairs. IPDPS Workshops 2020: 199-200 - [c83]Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt:
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. MICRO 2020: 922-936 - [c82]Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti:
Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC 2020: 55 - [i3]Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li:
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. CoRR abs/2011.04931 (2020) - [i2]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR abs/2012.06171 (2020)
2010 – 2019
- 2019
- [j16]Antonino Tumeo, John Feo, Oreste Villa:
Special Issue on: Systems for Learning, Inferencing, and Discovering (SLID). J. Parallel Distributed Comput. 129: 59-60 (2019) - [c81]Xi Wang, Jie Li, Antonino Tumeo, John D. Leidel, Yong Chen:
POSTER: Memory Hotspot Optimization for Data-Intensive Applications. PACT 2019: 467-468 - [c80]Vito Giovanni Castellana, Marco Minutoli, Antonino Tumeo, Marco Lattuada, Pietro Fezzardi, Fabrizio Ferrandi:
Software defined architectures for data analytics. ASP-DAC 2019: 711-718 - [c79]Antonino Tumeo:
Data and model convergence: a case for software defined architectures. CF 2019: 343 - [c78]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 - [c77]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC 2019: 1-6 - [c76]Xi Wang, Antonino Tumeo, John D. Leidel, Jie Li, Yong Chen:
MAC: Memory Access Coalescer for 3D-Stacked Memory. ICPP 2019: 2:1-2:10 - [c75]Tim Mattson, Antonino Tumeo:
Introduction to GrAPL 2019. IPDPS Workshops 2019: 218-219 - [c74]Jie Li, Xi Wang, Antonino Tumeo, Brody Williams, John D. Leidel, Yong Chen:
PIMS: a lightweight processing-in-memory accelerator for stencil computations. MEMSYS 2019: 41-52 - [c73]Ryan D. Friese, Antonino Tumeo, Roberto Gioiosa, Mark Raugas, Thomas Warfel:
Advert: An Asynchronous Runtime for Fine-Grained Network Systems. IPDRM@SC 2019: 9-17 - [i1]Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt:
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. CoRR abs/1908.10834 (2019) - 2018
- [j15]Antonino Tumeo, Hubertus Franke, Gianluca Palermo, John Feo:
Guest Editorial: Special Issue on Computing Frontiers. Int. J. Parallel Program. 46(2): 333-335 (2018) - [c72]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
Scalable Distributed Memory Community Detection Using Vite. HPEC 2018: 1-7 - [c71]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin:
Distributed Louvain Algorithm for Graph Community Detection. IPDPS 2018: 885-895 - [c70]Antonino Tumeo, Mahantesh Halappanavar, John Feo, Assefaw Hadish Gebremedhin, Abhinav Vishnu:
Introduction to GraML 2018. IPDPS Workshops 2018: 1166-1167 - [c69]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC 2018: 51-56 - [c68]Arif Khan, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, Antonino Tumeo:
Adaptive anonymization of data using b-edge cover. SC 2018: 59:1-59:11 - 2017
- [j14]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) - [j13]Marco Ceriani, Simone Secchi, Oreste Villa, Antonino Tumeo, Gianluca Palermo:
Exploring Efficient Hardware Support for Applications with Irregular Memory Patterns on Multinode Manycore Architectures. IEEE Trans. Parallel Distributed Syst. 28(6): 1635-1648 (2017) - [c67]Roberto Gioiosa, Thomas Warfel, Antonino Tumeo, Ryan D. Friese:
Pushing the Limits of Irregular Access Patterns on Emerging Network Architecture: A Case Study. CLUSTER 2017: 874-881 - [c66]Antonino Tumeo:
Architecture independent integrated early performance and energy estimation. IGSC 2017: 1-6 - [c65]Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo:
Scalable static and dynamic community detection using Grappolo. HPEC 2017: 1-6 - [c64]Roberto Gioiosa, Antonino Tumeo, Jian Yin, Thomas Warfel, David J. Haglin, Santiago Betelú:
Exploring DataVortex Systems for Irregular Applications. IPDPS 2017: 409-418 - [c63]Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo:
Community Detection on the GPU. IPDPS 2017: 625-634 - [c62]Antonino Tumeo, Mahantesh Halappanavar, John Feo:
Introduction to GraML Workshop. IPDPS Workshops 2017: 1529-1530 - 2016
- [j12]Antonino Tumeo, John Feo, Oreste Villa:
Special Issue on Theory and Practice of Irregular Applications (TaPIA). Parallel Comput. 59: 21-23 (2016) - [c61]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
Enabling the high level synthesis of data analytics accelerators. CODES+ISSS 2016: 15:1-15:3 - [c60]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi, Marco Lattuada:
A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. FCCM 2016: 136 - [c59]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
A dynamically scheduled architecture for the synthesis of graph methods. Hot Chips Symposium 2016: 1-7 - [c58]Roberto Gioiosa, Thomas Warfel, Jian Yin, Antonino Tumeo, David J. Haglin:
Exploring Data Vortex Network Architectures. Hot Interconnects 2016: 84-91 - [c57]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
Efficient synthesis of graph methods: a dynamically scheduled architecture. ICCAD 2016: 128 - [c56]Nathan R. Tallent, Kevin J. Barker, Daniel G. Chavarría-Miranda, Antonino Tumeo, Mahantesh Halappanavar, Andrès Márquez, Darren J. Kerbyson, Adolfy Hoisie:
Modeling the Impact of Silicon Photonics on Graph Analytics. NAS 2016: 1-11 - [c55]Nathan R. Tallent, Kevin J. Barker, Roberto Gioiosa, Andrès Márquez, Gokcen Kestor, Leon Song, Antonino Tumeo, Darren J. Kerbyson, Adolfy Hoisie:
Assessing Advanced Technology in CENATE. NAS 2016: 1-2 - 2015
- [j11]Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Tumeo, David Haglin, Oreste Villa, John Feo:
In-Memory Graph Databases for Web-Scale Data. Computer 48(3): 24-35 (2015) - [j10]Antonino Tumeo, John Feo:
Irregular Applications: From Architectures to Algorithms [Guest editors' introduction]. Computer 48(8): 14-16 (2015) - [j9]Antonino Tumeo, John Feo, Oreste Villa, Simone Secchi, Timothy G. Mattson:
Special Issue on Architectures and Algorithms for Irregular Applications (AAIA) - Guest editors' introduction. J. Parallel Distributed Comput. 76: 1-2 (2015) - [c54]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 - [c53]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 - [c52]Alessandro Morari, Jesse Weaver, Oreste Villa, David J. Haglin, Antonino Tumeo, Vito Giovanni Castellana, John Feo:
High-Performance, Distributed Dictionary Encoding of RDF Datasets. CLUSTER 2015: 250-253 - [c51]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
Function Proxies for Improved Resource Sharing in High Level Synthesis. FCCM 2015: 100 - [c50]Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
Inter-procedural resource sharing in High Level Synthesis through function proxies. FPL 2015: 1-8 - [c49]Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo, Johannes Langguth:
Optimizing Approximate Weighted Matching on Nvidia Kepler K40. HiPC 2015: 105-114 - [c48]Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD 2015: 323-330 - [p2]Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Jesse Weaver, Gregory Todd Williams, David J. Haglin, Antonino Tumeo, John Feo:
GEMS: Graph Database Engine for Multithreaded Systems. Big Data - Algorithms, Analytics, and Applications 2015: 139-156 - [e4]Antonino Tumeo, John Feo, Oreste Villa:
Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, IA3 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4001-4 [contents] - 2014
- [j8]Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo:
Scaling Semantic Graph Databases in Size and Performance. IEEE Micro 34(4): 16-26 (2014) - [j7]Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo:
Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. 40(10): 682-696 (2014) - [c47]Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
An adaptive Memory Interface Controller for improving bandwidth utilization of hybrid and reconfigurable systems. DATE 2014: 1-4 - [c46]Vito Giovanni Castellana, Antonino Tumeo, Fabrizio Ferrandi:
High-level synthesis of memory bound and irregular parallel applications with Bambu. Hot Chips Symposium 2014: 1 - [c45]Alessandro Morari, Antonino Tumeo, Daniel G. Chavarría-Miranda, Oreste Villa, Mateo Valero:
Scaling Irregular Applications through Data Aggregation and Software Multithreading. IPDPS 2014: 1126-1135 - [p1]Antonino Tumeo, Nitin Gawande, Oreste Villa:
A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems. Numerical Computations with GPUs 2014: 87-101 - [e3]Antonino Tumeo, John Feo, Oreste Villa:
Proceedings of the Fourth Workshop on Irregular Applications - Architectures and Algorithms, IA3 2014, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7056-8 [contents] - 2013
- [c44]Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Ant Colony Optimization for mapping, scheduling and placing in reconfigurable systems. AHS 2013: 47-54 - [c43]