Performance-oriented Application Development for Distributed Architectures: Perspectives for Commercial and Scientific EnvironmentsM. Gerndt IOS Press, 2002 - 100 lappuses Annotation This publication is devoted to programming models, languages, and tools for performance-oriented program development in commercial and scientific environments. The included papers have been written based on presentations given at the workshop PADDA 2001. The goal of the workshop was to identify common interests and techniques for performance-oriented program development in commercial and scientific environments. Distributed architectures currently dominate the field of highly parallel computing. Distributed architectures, based on Internet and mobile computing technologies, are important target architectures in the domain of commercial computing too. The papers in this publication come from the two areas: scientific computing and commercial computing. |
Saturs
PADDA 2001 | 1 |
Java for high performance numerical computing | 19 |
Dynamic performance tuning supported by program specification | 35 |
a comprehensive benchmark for public benchmarking of MPI | 55 |
Architecting Web sites for high performance | 75 |
Mobile objects in Java | 91 |
Bieži izmantoti vārdi un frāzes
algorithm aliasing approach architecture Array package automatic benchmark bottlenecks cluster communication compiler complex numbers components Computer Science connection router CORBA database datatypes distributed DynInst efficient enable endpoint environment execution formance Fortran framework Grid hardware monitor high performance IEEE implementation infrastructure interface Itinerary Java Java performance KappaPi layout loop mance measurements memory access behavior ment message passing Message Passing Interface method invocation Mflops middleware migration MIMO mobile agents mobile object multidimensional arrays node operations optimization overhead Parallel Computing Parallel Virtual Machine parameters pattern performance analysis platforms problem Proceedings processors provides proxy cache resource reverse proxy router runtime Scalable Section shared memory simulation SKAMPI solutions source code specific startpoint static techniques Technische Universität München tion tool users Virtual Machine Web Caching Web Server