Title : 
Realistic Evaluation of Interconnection Networks Using Synthetic Traffic
         
        
            Author : 
Navaridas, Javier ; Miguel-Alonso, Jose
         
        
            Author_Institution : 
Dept. of Comput. Archit. & Technol., Univ. of the Basque Country, San Sebastian, Spain
         
        
        
            fDate : 
June 30 2009-July 4 2009
         
        
        
        
            Abstract : 
Evaluation of high performance parallel systems is a delicate issue, due to the difficulty of generating workloads that represent, those that will run on actual systems. We overview the most usual workloads for performance evaluation purposes, in the scope of interconnection networks simulation. Aiming to fill the gap between purely synthetic and application-driven workloads, we present a set of synthetic communication micro-kernels that enhance regular synthetic traffic by adding point-to-point causality. They are conceived to stress the interconnection architecture. As an example of the proposed methodology, we use these micro-kernels to evaluate a topological improvement of k-ary n-cubes.
         
        
            Keywords : 
multiprocessor interconnection networks; parallel architectures; application-driven workloads; high performance parallel systems; interconnection architecture; interconnection networks; k-ary n-cubes; point-to-point causality; synthetic communication micro-kernels; synthetic traffic; synthetic workload; Application software; Computational modeling; Concurrent computing; High performance computing; Intelligent networks; Multiprocessor interconnection networks; Performance evaluation; Stress; Telecommunication traffic; Traffic control; Interconnection Networks; Performance Evaluation; Simulation; Traffic Characterization;
         
        
        
        
            Conference_Titel : 
Parallel and Distributed Computing, 2009. ISPDC '09. Eighth International Symposium on
         
        
            Conference_Location : 
Lisbon
         
        
            Print_ISBN : 
978-0-7695-3680-4
         
        
        
            DOI : 
10.1109/ISPDC.2009.20