Improving I/O Performance of Applications through Compiler-Directed Code Restructuring

Ever-increasing complexity of large-scale applications and continuous increases in sizes of the data they process make the problem of maximizing performance of such applications a very challenging task. In particular, many challenging applications from the domains of astrophysics, medicine, biology, computational chemistry, and materials science are extremely data intensive. Such applications typically use a disk system to store and later retrieve their large data sets, and consequently, their disk performance is a critical concern. Unfortunately, while disk density has significantly improved over the last couple of decades, disk access latencies have not. As a result, I/O is increasingly becoming a bottleneck for dataintensive applications, and has to be addressed at the software level if we want to extract the maximum performance from modern computer architectures. This paper presents a compiler-directed code restructuring scheme for improving the I/O performance of data-intensive s...

• Type: Conference
• Year: 2008
• Where: FAST
• Authors: Mahmut T. Kandemir, Seung Woo Son, Mustafa Karaköy
• Keywords: Application Codes, Disk Reuse, Entire Application Code, FAST 2008, Operating System