Zobrazeno 1 - 10
of 30
pro vyhledávání: '"David A. Richie"'
Publikováno v:
2020 SoutheastCon.
Convolutional neural networks (CNNs) have become the mainstay of machine learning. CNNs are the digital signal processing equivalent of the multiply and add DSP instruction. The backpropagation algorithm originated in the late 1980’s. The combinati
Publikováno v:
ICCS
The Adapteva Epiphany many-core architecture comprises a scalable 2D mesh Network-on-Chip (NoC) of low-power RiSC cores with minimal uncore functionality. Whereas such a processor offers high computational energy efficiency and parallel scalability,
Autor:
James A. Ross, David A. Richie
Publikováno v:
OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity ISBN: 9783030049171
OpenSHMEM
OpenSHMEM
The use of OpenSHMEM has traditionally focused on supporting a one-sided communication mechanism between networked processors. The US Army Research Laboratory (ARL) OpenSHMEM implementation for the Epiphany architecture has highlighted the utility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9746d32fa270c1311f9fbf162d5d3351
https://doi.org/10.1007/978-3-030-04918-8_9
https://doi.org/10.1007/978-3-030-04918-8_9
Autor:
Joseph B. Robinson, David J. Richie
Publikováno v:
Journal of Spacecraft and Rockets. 53:507-519
FalconSAT-3 is a cadet-built and -operated satellite that was launched in 2007. In late 2014, cadets successfully stabilized the satellite for the first time through an operational test campaign using a B-dot controller. This paper describes the many
Autor:
David A. Richie, James A. Ross
Publikováno v:
ICCS
The energy-efficient Adapteva Epiphany architecture exhibits massive many-core scalability in a physically compact 2D array of RISC cores with a fast network-on-chip (NoC). The architecture presents many features and constraints which contribute to s
Autor:
James A. Ross, David A. Richie
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319937120
ICCS (3)
ICCS (3)
This paper describes the software implementation of an emerging parallel programming model for partitioned global address space (PGAS) architectures. Applications with irregular memory access to distributed memory do not perform well on conventional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ba16d821a2d9aa475bb5925f47c340
https://doi.org/10.1007/978-3-319-93713-7_78
https://doi.org/10.1007/978-3-319-93713-7_78
Autor:
James A. Ross, David A. Richie
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319937007
ICCS (2)
ICCS (2)
The Adapteva Epiphany many-core architecture comprises a scalable 2D mesh Network-on-Chip (NoC) of low-power RISC cores with minimal uncore functionality. The Epiphany architecture has demonstrated significantly higher power-efficiency compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af29c6f2f478392f30e79dfd329cbf30
https://doi.org/10.1007/978-3-319-93701-4_22
https://doi.org/10.1007/978-3-319-93701-4_22
Publikováno v:
Journal of Computational Science. 9:94-100
The low-power Adapteva Epiphany RISC array processor offers high computational energy-efficiency and parallel scalability. However, extracting performance with a standard parallel programming model remains a great challenge. We present an effective p
Autor:
James A. Ross, David A. Richie
Publikováno v:
IPDPS Workshops
A novel approach is presented to teach the parallel and distributed computing concepts of synchronization and remote memory access. The single program multiple data (SPMD) partitioned global address space (PGAS) model presented in this paper uses a p
Publikováno v:
2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES).
The Finite Difference Time Domain (FDTD) Method is used for full-wave electromagnetic (EM) simulations. FDTD is computationally intensive with performance depending critically on architecture-specific optimizations that have become more challenging g