scholarly journals Toward Sci-φ: A Lightweight Cloud PaaS for Developing Embarrassingly Parallel Applications Based on Jini

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Patrizio Dazzi
Keyword(s):  
Computational Model ◽  
Interconnection Networks ◽  
Efficient Solution ◽  
Large Range ◽  
Parallel Execution ◽  
Parallel Applications ◽  
Low Latency ◽  
Commodity Hardware ◽  
Task Parallel ◽  
High Bandwidth

Embarrassingly parallel problems are characterised by a very small amount of information to be exchanged among the parts they are split in, during their parallel execution. As a consequence they do not require sophisticated, low-latency, high-bandwidth interconnection networks but can be efficiently computed in parallel by exploiting commodity hardware. Basically, this means cheap clusters, networks of workstations and desktops, and Computational Clouds. This computational model can be exploited to compute a quite large range of problems. This paper describes Sci-φ, an almost complete redesign of a previous tool of ours aimed at developing task parallel applications based on Java and Jini that were shown to be an effective and efficient solution in environments like clusters and networks of workstations and desktops.

High-Bandwidth Low-Latency Approximate Interconnection Networks

2017 ◽  
Author(s):  
Daichi Fujiki ◽  
Kiyo Ishii ◽  
Ikki Fujiwara ◽  
Hiroki Matsutani ◽  
Hideharu Amano ◽  
...  
Keyword(s):  
Interconnection Networks ◽  
Low Latency ◽  
High Bandwidth

An overview of the 5G mobile network architecture

2018 ◽  
Author(s):  
Phanidra Palagummi ◽  
Vedant Somani ◽  
Krishna M. Sivalingam ◽  
Balaji Venkat
Keyword(s):  
Wireless Network ◽  
Mobile Networks ◽  
Network Architecture ◽  
Mobile Network ◽  
Communication Technologies ◽  
Future Generation ◽  
Network Function Virtualization ◽  
Low Latency ◽  
High Bandwidth ◽  
Network Technologies

Networking connectivity is increasingly based on wireless network technologies, especially in developing nations where the wired network infrastructure is not accessible to a large segment of the population. Wireless data network technologies based on 2G and 3G are quite common globally; 4G-based deployments are on the rise during the past few years. At the same time, the increasing high-bandwidth and low-latency requirements of mobile applications has propelled the Third Generation Partnership Project (3GPP) standards organization to develop standards for the next generation of mobile networks, based on recent advances in wireless communication technologies. This standard is called the Fifth Generation (5G) wireless network standard. This paper presents a high-level overview of the important architectural components, of the advanced communication technologies, of the advanced networking technologies such as Network Function Virtualization and other important aspects that are part of the 5G network standards. The paper also describes some of the common future generation applications that require low-latency and high-bandwidth communications.

scholarly journals Scheduling Task-parallel Applications in Dynamically Asymmetric Environments

2020 ◽  
Author(s):  
Jing Chen ◽  
Pirah Noor Soomro ◽  
Mustafa Abduljabbar ◽  
Madhavan Manivannan ◽  
Miquel Pericas
Keyword(s):  
Parallel Applications ◽  
Task Parallel

scholarly journals FOSquare: A Novel Optical HPC Interconnect Network Architecture Based on Fast Optical Switches with Distributed Optical Flow Control

Photonics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 11
Author(s):  
Fulong Yan ◽  
Changshun Yuan ◽  
Chao Li ◽  
Xiong Deng
Keyword(s):  
Flow Control ◽  
Network Architecture ◽  
Network Performance ◽  
Optical Switches ◽  
Low Power Consumption ◽  
Low Latency ◽  
High Bandwidth ◽  
Fast Flow ◽  
Real Traffic ◽  
Interconnect Network

Interconnecting networks adopting Fast Optical Switches (FOS) can achieve high bandwidth, low latency, and low power consumption. We propose and demonstrate a novel interconnecting topology based on FOS (FOSquare) with distributed fast flow control which is suitable for HPC infrastructures. We also present an Optimized Mapping (OPM) algorithm that maps the most communication-related processes inside a rack. We numerically investigate and compare the network performance of FOSquare with Leaf-Spine under real traffic traces collected by running multiple applications (CG, MG, MILC, and MINI_MD) in an HPC infrastructure. The numerical results show that the FOSquare can reduce >10% latency with respect to Leaf-Spine under the scenario of 16 available cores.

AUTOMATIC PARALLELISATION AND EXECUTION OF APPLICATIONS ON CLUSTERS

2001 ◽  
Vol 02 (03) ◽  
pp. 331-343
Author(s):  
CHRISTOPHER MCAVANEY ◽  
ANDRZEJ GOSCINSKI
Keyword(s):  
Parallel Execution ◽  
Parallel Applications ◽  
Parallel Application ◽  
Parallel Processes ◽  
Additional Input ◽  
Execution Environment ◽  
Automated Tool

Parallel execution is a very efficient means of processing vast amounts of data in a small amount of time. Creating parallel applications has never been easy, and requires much knowledge of the task and the execution environment used to execute parallel processes. The process of creating parallel applications can be made easier through using a compiler that automatically parallelises a supplied application. Executing the parallel application is also simplified when a well designed execution environment is used. Such an execution environment provides very powerful operations to the programmer transparently. Combining both a parallelising compiler and execution environment and providing a fully automated parallelisation and execution tool is the aim of this research. The advantage of using such a fully automated tool is that the user does not need to provide any additional input to gain the benefits of parallel execution. This report shows the tool and how it transparently supports the programmer creating parallel applications and supports their execution.

scholarly journals Characterizing and Mitigating Work Time Inflation in Task Parallel Programs

2013 ◽  
Vol 21 (3-4) ◽  
pp. 123-136 ◽  
Author(s):  
Stephen L. Olivier ◽  
Bronis R. de Supinski ◽  
Martin Schulz ◽  
Jan F. Prins
Keyword(s):  
Poor Performance ◽  
Data Access ◽  
Parallel Applications ◽  
Task Parallelism ◽  
Improve Performance ◽  
Additional Time ◽  
Work Time ◽  
Task Parallel ◽  
Time Required ◽  
Data Access Latency

Task parallelism raises the level of abstraction in shared memory parallel programming to simplify the development of complex applications. However, task parallel applications can exhibit poor performance due to thread idleness, scheduling overheads, andwork time inflation– additional time spent by threads in a multithreaded computation beyond the time required to perform the same work in a sequential computation. We identify the contributions of each factor to lost efficiency in various task parallel OpenMP applications and diagnose the causes of work time inflation in those applications. Increased data access latency can cause significant work time inflation in NUMA systems. Our locality framework for task parallel OpenMP programs mitigates this cause of work time inflation. Our extensions to the Qthreads library demonstrate that locality-aware scheduling can improve performance up to 3X compared to the Intel OpenMP task scheduler.

SINET5: A low-latency and high-bandwidth backbone network for SDN/NFV Era

2017 ◽  
Author(s):  
Takashi Kurimoto ◽  
Shigeo Urushidani ◽  
Hiroshi Yamada ◽  
Kenjiro Yamanaka ◽  
Motonori Nakamura ◽  
...  
Keyword(s):  
Low Latency ◽  
Backbone Network ◽  
High Bandwidth

scholarly journals Extreme-scale scripting: Opportunities for large task-parallel applications on petascale computers

2009 ◽  
Vol 180 ◽  
pp. 012046 ◽  
Author(s):  
Michael Wilde ◽  
Ioan Raicu ◽  
Allan Espinosa ◽  
Zhao Zhang ◽  
Ben Clifford ◽  
...  
Keyword(s):  
Parallel Applications ◽  
Task Parallel ◽  
Extreme Scale
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