Journal
Scientific and technical journal of information technologies, mechanics and optics
UDK681.3.069, 681.324
Issue:9 (54)
INSTRUMENTAL ENVIRONMENT FOR MASS MOBILE NEW-AGE ONLINE-SERVICES. PART 2. NFC TECHNOLOGY
Annotation
Issues on calculation algorithm mapping onto GPU-hardware parallel architecture are discussed in this work. Main features of considered hardware architecture and their impact on parallel algorithms performance are described. Performance estimation model for parallel algorithm using computational resources of graphics accelerator is proposed. Optimization of parametric function approximation using random search is taken as an example of calculation task.
Keywords
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Articles in current issue
- HIGH-PERFORMANCE SOFTWARE FOR NANO-DIMENSIONAL ATOM-MOLECULE SYSTEMS MODELING
- CONCEPTION AND METHODOLOGICAL BASIS FOR INTELLIGENT GRID SYSTEMS BUILDING
- HIGH-PERFORMANCE GRID-APPLICATIONS DEVELOPMENT ENVIRONMENT. PART I: PRINCIPLES
- HIGH-PERFORMANCE GRID-APPLICATIONS DEVELOPMENT ENVIRONMENT. PART II: ARCHITECTURE, IMPLEMENTATION AND APPLICATION
- HIGH-PERFORMANCE GRID-APPLICATIONS DEVELOPMENT ENVIRONMENT. PART III: KNOWLEDGE ACQUISITION AND FORMALIZATION
- HIGH-PERFORMANCE SOFTWARE FOR HYDROMETEOROLOGICAL EXTREME EVENTS SIMULATION. PART I: PROBLEM STATEMENT, MODELS, METHODS AND PARALLEL ALGORITHMS
- HIGH-PERFORMANCE SOFTWARE FOR HYDROMETEOROLOGICAL EXTREME EVENTS SIMULATION. PART II: SOFTWARE ARCHITECTURE DESIGN AND ASSESSMENT
- HIGH-PERFORMANCE SOFTWARE FOR METOCEAN EXTREME EVENTS SIMULATION. PART III: CALCULATION RESULTS INTERPRETATION AND APPLICATION
- INSTRUMENTAL ENVIRONMENT FOR MASS MOBILE NEW-AGE ONLINE-SERVICES. PART 1. OPERATING PRINCIPLE, SOFTWARE ARCHITECTURE
- INSTRUMENTAL ENVIRONMENT FOR MASS MOBILE NEW-AGE ONLINE-SERVICES. PART 2. NFC TECHNOLOGY
- IDENTIFICATION OF PARAMETRIC BOUND MODELS OF COMPLEX SYSTEMS
- PARALLEL SIMULATION OF ASYNCHRONOUS CELLULAR AUTOMATA EVOLUTION
- ARCHITECTURE OF SERVICE-ORIENTED DISTRIBUTED COMPUTED SYSTEM AND ITS REALIZATION ON THE BASE OF FRAMEWORK OSGI
- COMPARATIVE STUDY OF TABU-MACHINE AND HOPFIELD NEURAL NETWORKS APPLICATION TO SOLVE DISCRETE OPTIMIZATION PROBLEMS FROM DISTRIBUTED DATABASES DOMAIN
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- SOFT DEVELOPMENT OF COMPETITIVE MARKET MODELING FOR COMPUTATIONAL CLUSTERS
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