Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sabrina M. Neuman"'
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Hardware acceleration can revolutionize robotics, enabling new applications by speeding up robot response times while remaining power-efficient. However, the diversity of acceleration options makes it difficult for roboticists to easily deploy accele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::342e9193758cddbc992ccbf0d5c3dc4a
https://doi.org/10.1109/iros47612.2022.9982082
https://doi.org/10.1109/iros47612.2022.9982082
Autor:
Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof, Srivatsan Krishnan, Colby Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C.H.E. de Croon, Vijay Janapa Reddi
Publikováno v:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Machine learning (ML) has become a pervasive tool across computing systems. An emerging application that stress-tests the challenges of ML system design is tiny robot learning, the deployment of ML on resource-constrained low-cost autonomous robots.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9682b35a66947cbd5709b45007bf75e0
https://doi.org/10.1109/aicas54282.2022.9870000
https://doi.org/10.1109/aicas54282.2022.9870000
Autor:
Thomas Bourgeat, Sabrina M. Neuman, Scott Kuindersma, Brian Plancher, Vijay Janapa Reddi, Srinivas Devadas
Publikováno v:
IEEE Robotics and Automation Letters. 6:2335-2342
Computing the gradient of rigid body dynamics is a central operation in many state-of-the-art planning and control algorithms in robotics. Parallel computing platforms such as GPUs and FPGAs can offer performance gains for algorithms with hardware-co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d778efb6334e11dc7a045e48443f044
https://doi.org/10.1109/lra.2021.3057845
https://doi.org/10.1109/lra.2021.3057845
Autor:
Srinivas Devadas, Thomas Bourgeat, Vijay Janapa Reddi, Sabrina M. Neuman, Brian Plancher, Thierry Tambe
Publikováno v:
ASPLOS
Robotics applications have hard time constraints and heavy computational burdens that can greatly benefit from domain-specific hardware accelerators. For the latency-critical problem of robot motion planning and control, there exists a performance ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed502823c84451e11e3a367a3acd12f1
https://doi.org/10.1145/3445814.3446746
https://doi.org/10.1145/3445814.3446746
Publikováno v:
IROS
Rigid body dynamics calculations are needed for many tasks in robotics, including online control. While there currently exist several competing software implementations that are sufficient for use in traditional control approaches, emerging sophistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb37d22ca903b26c9287401935e3ea93
https://doi.org/10.1109/iros40897.2019.8967694
https://doi.org/10.1109/iros40897.2019.8967694
Publikováno v:
MIT web domain
ICCD
ICCD
© 2017 IEEE. Power and thermal limitations make it impossible to run all cores on a multicore system at their maximum frequency. Therefore, modern systems require careful power management. These systems must manage complex tradeoffs between energy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1440719f0b34dc9bb4fef08c3e15b6d
https://hdl.handle.net/1721.1/137122
https://hdl.handle.net/1721.1/137122
Autor:
George Bezerra, Anantha P. Chandraksan, Jason E. Miller, Sabrina M. Neuman, Eric Lau, Yildiz Sinangil, Nathan Ickes, Henry Hoffmann, Srinivas Devadas, Mahmut E. Sinangil
Publikováno v:
VLSIC
This paper presents a self-aware processor with energy monitoring circuits that can measure actual energy consumption of the key blocks. The monitors are embedded into on-chip DC/DC converters and generate results within 10% of accuracy with minimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6a259a94ff6292272c5266f6d0ab171
https://doi.org/10.1109/vlsic.2014.6858424
https://doi.org/10.1109/vlsic.2014.6858424
Autor:
George Kurian, Anthony Giovinazzo, Srinivas Devadas, George Bezerra, Jason E. Miller, Sabrina M. Neuman
Publikováno v:
ISPASS
This paper described recent improvements to the Graphite simulator designed to help explore current and emerging research topics. With these improvements, Graphite is ideally suited to explore both power and performance in future multicore and manyco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3fbf5d8e0cb265aa99d19a582858e5e
https://doi.org/10.1109/ispass.2014.6844471
https://doi.org/10.1109/ispass.2014.6844471
Autor:
Christopher Schantz, Sarah Page, Sean Muller, Steven R. Shaw, Zachary Remscrim, Sabrina M. Neuman, Steven B. Leeb, James Paris
Publikováno v:
2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).
Smart Grid and Smart Meter initiatives seek to enable energy providers and consumers to intelligently manage their energy needs through real-time monitoring, analysis, and control. We have developed an inexpensive FPGA implementation of a spectral en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12d300fb502062ca177e311928d2c42c
https://doi.org/10.1109/apec.2010.5433541
https://doi.org/10.1109/apec.2010.5433541