scholarly journals A performance evaluation of Azure and Nimbus clouds for scientific applications

2012 ◽  
Author(s):  
Radu Tudoran ◽  
Alexandru Costan ◽  
Gabriel Antoniu ◽  
Luc Bougé
Keyword(s):  
Performance Evaluation ◽  
Scientific Applications ◽  
A Performance

scholarly journals A Performance Evaluation of the Cray X1 for Scientific Applications

2005 ◽  
pp. 51-65 ◽  
Author(s):  
Leonid Oliker ◽  
Rupak Biswas ◽  
Julian Borrill ◽  
Andrew Canning ◽  
Jonathan Carter ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Scientific Applications ◽  
A Performance

A PERFORMANCE EVALUATION OF THE NEHALEM QUAD-CORE PROCESSOR FOR SCIENTIFIC COMPUTING

2008 ◽  
Vol 18 (04) ◽  
pp. 453-469 ◽  
Author(s):  
KEVIN J. BARKER ◽  
KEI DAVIS ◽  
ADOLFY HOISIE ◽  
DARREN J. KERBYSON ◽  
MIKE LANG ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Large Scale ◽  
Scientific Computing ◽  
First Generation ◽  
Second Generation ◽  
Building Blocks ◽  
Simultaneous Multithreading ◽  
Scientific Applications ◽  
Memory Controller ◽  
A Performance

In this work we present an initial performance evaluation of Intel's latest, second-generation quad-core processor, Nehalem, and provide a comparison to first-generation AMD and Intel quad-core processors Barcelona and Tigerton. Nehalem is the first Intel processor to implement a NUMA architecture incorporating QuickPath Interconnect for interconnecting processors within a node, and the first to incorporate an integrated memory controller. We evaluate the suitability of these processors in quad-socket compute nodes as building blocks for large-scale scientific computing clusters. Our analysis of intra-processor and intra-node scalability of microbenchmarks, and a range of large-scale scientific applications, indicates that quad-core processors can deliver an improvement in performance of up to 4x over a single core depending on the workload being processed. However, scalability can be less when considering a full node. We show that Nehalem outperforms Barcelona on memory-intensive codes by a factor of two for a Nehalem node with 8 cores and a Barcelona node containing 16 cores. Further optimizations are possible with Nehalem, including the use of Simultaneous Multithreading, which improves the performance of some applications by up to 50%.

A performance evaluation and modification of the UNICEF upward-flow water filter

Waterlines ◽  
1993 ◽  
Vol 12 (2) ◽  
pp. 29-31 ◽  
Author(s):  
Vinay Pratap Singh ◽  
Malay Chaudhuri
Keyword(s):  
Performance Evaluation ◽  
Upward Flow ◽  
Water Filter ◽  
A Performance

scholarly journals SRPerf: a Performance Evaluation Framework for IPv6 Segment Routing

2020 ◽  
pp. 1-1
Author(s):  
Ahmed Abdelsalam ◽  
Pier Luigi Ventre ◽  
Carmine Scarpitta ◽  
Andrea Mayer ◽  
Stefano Salsano ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Evaluation Framework ◽  
A Performance

scholarly journals V2V and V2I Communications for Traffic Safety and CO2 Emission Reduction: A Performance Evaluation

2019 ◽  
Vol 151 ◽  
pp. 353-360 ◽  
Author(s):  
Fatma Outay ◽  
Faouzi Kamoun ◽  
Florent Kaisser ◽  
Doaa Alterri ◽  
Ansar Yasar
Keyword(s):  
Performance Evaluation ◽  
Traffic Safety ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Co2 Emission Reduction ◽  
A Performance
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