Tools for High Performance Computing 2016
Editat de Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. Nagelen Limba Engleză Hardback – 9 mai 2017
High-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.
Preț: 616.43 lei
Preț vechi: 770.54 lei
-20%
Puncte Express: 925
Carte tipărită la comandă
Livrare economică 27 iulie-10 august
Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Specificații
ISBN-13: 9783319567013
ISBN-10: 3319567012
Pagini: 152
Ilustrații: IX, 140 p. 60 illus., 48 illus. in color.
Dimensiuni: 160 x 241 x 14 mm
Greutate: 0.4 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319567012
Pagini: 152
Ilustrații: IX, 140 p. 60 illus., 48 illus. in color.
Dimensiuni: 160 x 241 x 14 mm
Greutate: 0.4 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools. High-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.