HPC@Green IT Green High Performance Computing Methods /

The authors present methods to reduce computer energy consumption by a better use of resources and by maximizing the efficiencies of applications. The processor frequency is adjusted to the needs of the running job, leading to a power drop in servers and PCs, and increasing battery life time of lapt...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Gruber, Ralf (Συγγραφέας), Keller, Vincent (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02543nam a22005295i 4500
001 978-3-642-01789-6
003 DE-He213
005 20151204184723.0
007 cr nn 008mamaa
008 100316s2010 gw | s |||| 0|eng d
020 |a 9783642017896  |9 978-3-642-01789-6 
024 7 |a 10.1007/978-3-642-01789-6  |2 doi 
040 |d GrThAP 
050 4 |a QA76.758 
072 7 |a UMZ  |2 bicssc 
072 7 |a UL  |2 bicssc 
072 7 |a COM051230  |2 bisacsh 
082 0 4 |a 005.1  |2 23 
100 1 |a Gruber, Ralf.  |e author. 
245 1 0 |a HPC@Green IT  |h [electronic resource] :  |b Green High Performance Computing Methods /  |c by Ralf Gruber, Vincent Keller. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a XV, 221 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Historical highlights -- Parameterization -- Models -- Core optimization -- Node optimization -- Cluster optimization -- Grid-level Brokering to save energy -- Recommendations. 
520 |a The authors present methods to reduce computer energy consumption by a better use of resources and by maximizing the efficiencies of applications. The processor frequency is adjusted to the needs of the running job, leading to a power drop in servers and PCs, and increasing battery life time of laptops. It is shown how computer resources can be optimally adapted to application needs, reducing job run time. The job-related data is stored and reused to help computer managers to stop old machines and to choose new ones better adapted to the application community. 
650 0 |a Computer science. 
650 0 |a Computer organization. 
650 0 |a Computer system failures. 
650 0 |a Software engineering. 
650 0 |a Computer programming. 
650 0 |a Operating systems (Computers). 
650 1 4 |a Computer Science. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Programming Techniques. 
650 2 4 |a System Performance and Evaluation. 
650 2 4 |a Computer Systems Organization and Communication Networks. 
650 2 4 |a Operating Systems. 
700 1 |a Keller, Vincent.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642017889 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-01789-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)