scholarly journals A New Approach in Advance Network Reservation and Provisioning for High-Performance Scientific Data Transfers

2010 ◽  
Author(s):  
Mehmet Balman ◽  
Evangelos Chaniotakis ◽  
Arie Shoshani ◽  
Alex Sim
Keyword(s):  
High Performance ◽  
Scientific Data ◽  
New Approach ◽  
Data Transfers ◽  
Network Reservation

Theoretical Interpretation of High-Performance Chromatographic Data for a Heterogeneous Series of Compounds

1992 ◽  
Vol 57 (1) ◽  
pp. 33-45
Author(s):  
Vladimír Jakuš
Keyword(s):  
Experimental Data ◽  
High Performance ◽  
Theoretical Interpretation ◽  
Retention Data ◽  
Theoretical Evaluation ◽  
New Approach ◽  
Free Energy Of Solvation ◽  
Rp Hplc ◽  
Mobile Phases ◽  
Reversed Phases

A new approach to theoretical evaluation of the Gibbs free energy of solvation was applied for estimation of retention data in high-performance liquid chromatography on reversed phases (RP-HPLC). Simple and improved models of stationary and mobile phases in RP-HPLC were employed. Statistically significant correlations between the calculated and experimental data were obtained for a heterogeneous series of twelve compounds.

Vacuum processed large area doped thin-film crystals: A new approach for high-performance organic electronics

2021 ◽  
Vol 17 ◽  
pp. 100352
Author(s):  
S.-J. Wang ◽  
M. Sawatzki ◽  
H. Kleemann ◽  
I. Lashkov ◽  
D. Wolf ◽  
...  
Keyword(s):  
Thin Film ◽  
Organic Electronics ◽  
High Performance ◽  
Large Area ◽  
New Approach

Preparation and Characterization of Nanocellular Poly(phenylquinoxaline) Foams. A New Approach to Nanoporous High-Performance Polymers

2007 ◽  
Vol 40 (6) ◽  
pp. 2070-2078 ◽  
Author(s):  
Samuel Merlet ◽  
Catherine Marestin ◽  
Fréderic Schiets ◽  
Olivier Romeyer ◽  
Régis Mercier
Keyword(s):  
High Performance ◽  
New Approach ◽  
High Performance Polymers

scholarly journals Development of High-Performance SiCp/Al-Si Composites by Equal Channel Angular Pressing

Metals ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 738 ◽  
Author(s):  
Qiong Xu ◽  
Aibin Ma ◽  
Junjie Wang ◽  
Jiapeng Sun ◽  
Jinghua Jiang ◽  
...  
Keyword(s):  
Wear Resistance ◽  
Equal Channel Angular Pressing ◽  
High Performance ◽  
Adhesive Wear ◽  
Processing Route ◽  
Matrix Composites ◽  
New Approach ◽  
Angular Pressing ◽  
The Matrix ◽  
Industry Applications

Relatively low compactness and unsatisfactory uniformity of reinforced particles severely restrict the performance and widespread industry applications of the powder metallurgy (PM) metal matrix composites (MMCs). Here, we developed a combined processing route of PM and equal channel angular pressing (ECAP) to enhance the mechanical properties and wear resistance of the SiCp/Al-Si composite. The results indicate that ECAP significantly refined the matrix grains, eliminated pores and promoted the uniformity of the reinforcement particles. After 8p-ECAP, the SiCp/Al-Si composite consisted of ultrafine Al matrix grains (600 nm) modified by uniformly-dispersed Si and SiCp particles, and the composite relative density approached 100%. The hardness and wear resistance of the 8p-ECAP SiCp/Al-Si composite were markedly improved compared to the PM composite. More ECAP passes continued a trend of improvement for the wear resistance and hardness. Moreover, while abrasion and delamination dominated the wear of PM composites, less severe adhesive wear and fatigue mechanisms played more important roles in the wear of PM-ECAP composites. This study demonstrates a new approach to designing wear-resistant Al-MMCs and is readily applicable to other Al-MMCs.

scholarly journals Blockchain Networks – Security Aspects and Consensus Models

2019 ◽  
Vol 2 ◽  
pp. 46-52 ◽  
Author(s):  
Andrzej Wilczyński ◽  
Adrian Widłak
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Distributed Networks ◽  
Modern Technology ◽  
Main Aspect ◽  
Computing Systems ◽  
Consensus Models ◽  
Architectural Model ◽  
Data Transfers ◽  
Performance Computing

Data integration and fast effective data processing are the primary challenges in today’s high-performance computing systems used for Big Data processing and analysis in practical scenarios. Blockchain (BC) is a hot, modern technology that ensures high security of data processes stored in highly distributed networks and ICT infrastructures. BC enables secure data transfers in distributed systems without the need for all operations and processes in the network to be initiated and monitored by any central authority (system manager). This paper presents the background of a generic architectural model of a BC system and explains the concept behind the consensus models used in BC transactions. Security is the main aspect of all defined operations and BC nodes. The paper presents also specific BC use cases to illustrate the performance of the system in practical scenarios..

scholarly journals A New Vectorization Technique for Expression Templates in C++

2012 ◽  
Vol 10 (4) ◽  
Author(s):  
J Progsch ◽  
Y Ineichen ◽  
A Adelmann
Keyword(s):  
High Performance ◽  
Performance Gap ◽  
New Approach ◽  
Loop Unrolling ◽  
Basic Linear Algebra Subprograms ◽  
Template Library ◽  
Abstract Interface ◽  
Expression Templates ◽  
Performance Computing ◽  
Expression Template

Vector operations play an important role in high performance computing and are typically provided by highly optimized libraries that implement the Basic Linear Algebra Subprograms (BLAS) interface. In C++ templates and operator overloading allow the implementation of these vector operations as expression templates which construct custom loops at compile time and providing a more abstract interface. Unfortunately existing expression template libraries lack the performance of fast BLAS implementations. This paper presents a new approach - Statically Accelerated Loop Templates (SALT) - to close this performance gap by combining expression templates with an aggressive loop unrolling technique. Benchmarks were conducted using the Intel C++ compiler and GNU Compiler Collection to assess the performance of our library relative to Intel's Math Kernel Library as well as the Eigen template library. The results show that the approach is able to provide optimization comparable to the fastest available BLAS implementations, while retaining the convenience and flexibility of a template library.

scholarly journals Bonsai: An event-based framework for processing and controlling data streams

2014 ◽  
Author(s):  
Gonçalo Lopes ◽  
Niccolò Bonacchi ◽  
João Frazão ◽  
Joana P. Neto ◽  
Bassam V. Atallah ◽  
...  
Keyword(s):  
Data Streams ◽  
High Performance ◽  
Visual Programming ◽  
Scientific Data ◽  
Video Tracking ◽  
Loop Control ◽  
Online Processing ◽  
Parallel Data ◽  
Develop Software ◽  
Event Based

The design of modern scientific experiments requires the control and monitoring of many parallel data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the asynchronous, parallel nature of scientific data. Here we present Bonsai, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams. We describe Bonsai's core principles and architecture and demonstrate how it allows for flexible and rapid prototyping of integrated experimental designs in neuroscience. We specifically highlight different possible applications which require the combination of many different hardware and software components, including behaviour video tracking, electrophysiology and closed-loop control of stimulation parameters.

Sign in / Sign up

Export Citation Format

Share Document