Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Jon Calhoun"'
Autor:
Jeongho Ahn, Jon Calhoun
Publikováno v:
Electronic Journal of Differential Equations, Vol 2013, Iss 85,, Pp 1-23 (2013)
The motion of viscoelastic (Kelvin-Voigt model) bodies between an upper and a lower obstacle is studied both mathematically and numerically. The two obstacles are assumed to be stationary perfect rigid, therefore, Signorini contact conditions are imp
Externí odkaz:
https://doaj.org/article/d1b7578acf5b4a8ab9cc93eafec66b40
Autor:
Jon Calhoun, Cavender Holt, Sarah Placke, John Hollowell, Nikolas Heitzig, Griffin Dube, Sansriti Ranjan
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:2054-2057
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:4439-4454
Although supercomputers are becoming increasingly powerful, their components have thus far not scaled proportionately. Compute power is growing enormously and is enabling finely resolved simulations that produce never-before-seen features. However, I
Publikováno v:
Software: Practice and Experience. 52:619-635
Publikováno v:
Journal of Real-Time Image Processing. 19:117-131
As camera quality improves and their deployment moves to areas with limited bandwidth, communication bottlenecks can impair real-time constraints of an intelligent transportation systems application, such as video-based real-time pedestrian detection
Lossy compression plays a growing role in geophysical and other computer-based simulations where the cost of storing their output data on large-scale systems can span terabytes and even petabytes in some cases. Using error-bounded lossy compression r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7514600d34f2addc4eb008bcbb069733
https://doi.org/10.5194/egusphere-egu22-9948
https://doi.org/10.5194/egusphere-egu22-9948
Publikováno v:
CLUSTER
Field programmable gate array (FPGA) usage in HPC applications is growing with the need for energy efficient and application specific accelerators. Currently, FPGAs are used to accelerate algorithms using OpenCL with communication over PCIe (loosely
Publikováno v:
HPDC
Progress in high-performance computing (HPC) systems has led to complex applications that stress the I/O subsystem by creating vast amounts of data. Lossy compression reduces data size considerably, but a single error renders lossy compressed data un
Publikováno v:
CLUSTER
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The convergence of artificial intelligence, high-performance computing (HPC), and data science brings unique opportunities for marked advance discoveries and that leverage synergies across scientific domains. Recently, deep learning (DL) models have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69bdb4706ed3b9afcd993b6ed529a1bb
https://hdl.handle.net/2117/364744
https://hdl.handle.net/2117/364744
Publikováno v:
IEEE BigData
Due to I/O bandwidth limitations, intelligent in situ data reduction methods are needed to enable post-hoc workflows. Current state-of-the-art sampling methods save data points if they deem them spatially or temporally important. By analyzing the pro