Parallel Algorithms / Architecture Synthesis, AIZU International Symposium on (1997)
Aizu-Wakamatsu, Fukushima, JAPAN
Mar. 17, 1997 to Mar. 21, 1997
K.W. Rudd , Comput. Syst. Lab., Stanford Univ., CA, USA
M.J. Flynn , Comput. Syst. Lab., Stanford Univ., CA, USA
Recently, high performance computer architecture has focused on dynamic scheduling techniques to issue and execute multiple operations concurrently. These designs are complex and have frequently shown disappointing performance. A complementary approach is the use of static scheduling techniques to exploit the same parallelism. We describe some of the tradeoffs between the use of static and dynamic scheduling techniques and show that with appropriate scheduling, low complexity designs using only static scheduling have significant advantages over high complexity designs using dynamic scheduling in real systems.
parallel architectures; instruction level parallel processors; static scheduling tradeoffs; high performance computer architecture; dynamic scheduling techniques; multiple operations; low complexity designs; high complexity designs; real systems
M. Flynn and K. Rudd, "Instruction-level parallel processors-dynamic and static scheduling tradeoffs," Parallel Algorithms / Architecture Synthesis, AIZU International Symposium on(PAS), Aizu-Wakamatsu, Fukushima, JAPAN, 1997, pp. 74.