Exploring data staging across deep memory hierarchies for coupled data intensive simulation workflows
As applications target extreme scales, data staging and in-situ/in-transit data processing
have been proposed to address the data challenges and improve scientific discovery …
have been proposed to address the data challenges and improve scientific discovery …
Canopus: A paradigm shift towards elastic extreme-scale data analytics on hpc storage
Scientific simulations on high performance computing (HPC) platforms generate large
quantities of data. To bridge the widening gap between compute and I/O, and enable data to …
quantities of data. To bridge the widening gap between compute and I/O, and enable data to …
In‐memory staging and data‐centric task placement for coupled scientific simulation workflows
Coupled scientific simulation workflows are composed of heterogeneous component
applications that simulate different aspects of the physical phenomena being modeled and …
applications that simulate different aspects of the physical phenomena being modeled and …
Automatic memory reductions for RTL model verification
P Manolios, SK Srinivasan, D Vroon - Proceedings of the 2006 IEEE …, 2006 - dl.acm.org
We present several techniques for automatically reducing memories in RTL designs. This
includes a new memory abstraction algorithm that allows us to greatly reduce the size of …
includes a new memory abstraction algorithm that allows us to greatly reduce the size of …
Implement of an automated unmanned recording system for tracking objects on mobile phones by image processing method
B Ahn, HY Jeong - Multimedia Tools and Applications, 2021 - Springer
The use of the “selfie camera”, which records many images and videos and shares them
with others. Although this system is complex owing to its use of software-intensive …
with others. Although this system is complex owing to its use of software-intensive …
Sirius: Enabling progressive data exploration for extreme-scale scientific data
Scientific simulations on high performance computing (HPC) platforms generate large
quantities of data. To bridge the widening gap between compute and I/O, and enable data to …
quantities of data. To bridge the widening gap between compute and I/O, and enable data to …
Análise de dados científicos sobre múltiplas fontes de dados ao longo da execução de simulações computacionais
VS Sousa - 2018 - pantheon.ufrj.br
TESE SUBMETIDA AO CORPO DOCENTE DO INSTITUTO ALBERTO LUIZ COIMBRA DE
PÓS-GRADUAÇÃO E PESQUISA DE ENGENHARIA (COPPE) DA UNIVERSIDADE …
PÓS-GRADUAÇÃO E PESQUISA DE ENGENHARIA (COPPE) DA UNIVERSIDADE …
Reactive system validation using automated reasoning over a fragment library
RJ Hall - Proceedings 12th IEEE International Conference …, 1997 - ieeexplore.ieee.org
While a user might be able to confidently validate a generalized fragment by inspection,
since calling an off-hook user should result in a busy signal (when the system only has one …
since calling an off-hook user should result in a busy signal (when the system only has one …
Scalable Scientific Data Management on High-Performance Computing Systems
Z Qiao - 2021 - search.proquest.com
As high-performance computing (HPC) is being scaled up to exascale to accommodate new
modeling and simulation needs, I/O has continued to be a major bottleneck in the end-to …
modeling and simulation needs, I/O has continued to be a major bottleneck in the end-to …
Adaptive Data Placement in Multi-Tiered Data Staging Runtime
As applications approach extreme scales, data staging and in-situ/in-transit processing have
been proposed to address the data challenges and improve scientific discovery. However …
been proposed to address the data challenges and improve scientific discovery. However …