Using kernel couplings to predict parallel application performance

2003 ◽  
Author(s):  
V. Taylor ◽  
Xingfu Wu ◽  
J. Geisler ◽  
R. Stevens
Keyword(s):  
Application Performance ◽  
Parallel Application

scholarly journals Predicting parallel application performance via machine learning approaches

2007 ◽  
Vol 19 (17) ◽  
pp. 2219-2235 ◽  
Author(s):  
Karan Singh ◽  
Engin İpek ◽  
Sally A. McKee ◽  
Bronis R. de Supinski ◽  
Martin Schulz ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Application Performance ◽  
Parallel Application

scholarly journals Parallel Application Performance on Two Generations of Intel Xeon HPC Platforms

2015 ◽  
Author(s):  
Christopher H. Chang ◽  
Hai Long ◽  
Scott Sides ◽  
Deepthi Vaidhynathan ◽  
Wesley Jones
Keyword(s):  
Application Performance ◽  
Parallel Application ◽  
Two Generations ◽  
Intel Xeon

Enhancing the use of Object Based Contents Addressable Storage

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Simab Hasan Rizvi
Keyword(s):  
File System ◽  
Application Performance ◽  
Shared Storage ◽  
Data Intensive ◽  
Network Bandwidth ◽  
Storage Performance ◽  
Efficient Management ◽  
Object Based ◽  
Data Volume ◽  
Potential Benefits

In Today's age of Tetra Scale computing, the application has become more data intensive than ever. The increased data volume from applications, in now tackling larger and larger problems, and has fuelled the need for efficient management of this data. In this paper, a technique called Content Addressable Storage or CAS, for managing large volume of data is evaluated. This evaluation focuses on the benefits and demerits of using CAS it focuses, i) improved application performance via lockless and lightweight synchronization ofaccess to shared storage data, ii) improved cache performance, iii) increase in storage capacity and, iv) increase network bandwidth. The presented design of a CAS-Based file store significantly improves the storage performance that provides lightweight lock less user defined consistency semantics. As a result, this file system shows a 28% increase in read bandwidth and 13% increase in write bandwidth, over a popular file system in common use. In this paper the potential benefits of using CAS for a virtual machine are estimated. The study also explains mobility application for active use and public deployment.

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