Title :
The effect of average parallelism and CPU-I/O overlap on application speedup
Author :
Diaconescu, Luca ; Majumdar, Shikharesh
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
Abstract :
Parallelization of I/O using multiple disk drives is warranted for achieving high performance on systems running CPU and I/O intensive applications. This paper is concerned with the characterization of applications with parallel I/O and the derivation of analytic bounds on speedup. New characteristics for capturing parallelism in I/O are introduced. These characteristics are used in conjunction with other characteristics available in the literature for the derivation of the bounds. Both parallelism in CPU and I/O operations in applications as well as the degree of overlap between CPU and I/O are observed to have a strong impact on speedup
Keywords :
disc drives; input-output programs; parallel processing; performance evaluation; CPU-input output overlap; application speedup; high performance; multiple disk drives; parallel input-output; Application software; Computer applications; Computer networks; Concurrent computing; Disk drives; Distributed computing; High performance computing; Parallel processing; System performance; Systems engineering and theory;
Conference_Titel :
Parallel and Distributed Systems: Workshops, Seventh International Conference on, 2000
Conference_Location :
Iwate
Print_ISBN :
0-7695-0571-6
DOI :
10.1109/PADSW.2000.884646
