BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CSL-TR-77-131
       ENTRY:: December 01, 1994
ORGANIZATION:: Stanford University, Computer Systems Laboratory
       TITLE:: SEQUENTIAL PREFETCH STRATEGIES FOR INSTRUCTIONS AND DATA
        TYPE:: Technical Report
      AUTHOR:: Rau, B. Ramakrishna
        DATE:: January 1977
       PAGES:: 27
    ABSTRACT:: An investigation of sequential prefetch as a means of
               reducing the average access time is conducted. The use of a
               target instruction buffer is shown to enhance the performance
               of instruction prefetch. The concept of generalized
               sequentiality is developed to enable the study of
               sequentiality in data streams. Generalized sequentiality is
               shown to be present to a significant degree in data streams
               from measurements on representative programs. This results is
               utilized to develop a data prefetch mechanism which is found
               to be capable of anticipating, on the average, about 75% of
               all data requests.
       NOTES:: [Adminitrivia V1/Prg/19941201]
         END:: STAN//CSL-TR-77-131