|New TR: "Static Branch Frequency and Program Profile Analysis" firstname.lastname@example.org (1994-09-28)|
|From:||email@example.com (James Larus)|
|Keywords:||optimize, report, available, FTP|
|Organization:||Univ. of Wisconsin CS Dept|
|Date:||Wed, 28 Sep 1994 18:12:59 GMT|
Preprints of the following TR are available via anonymous ftp.
Computer Sciences Department
University of Wisconsin
1210 West Dayton Street
Madison, WI 53706
%A Youfeng Wu
%A James R. Larus
%T Static Branch Frequency and Program Profile Analysis
%D September 1994
%R TR 1248
%I COMPUTER SCIENCES DEPARTMENT, UNIVERSITY OF WISCONSIN
%C MADISON, WI
%X Program profiles identify frequently executed portions of a program,
which are the places at which optimizations offer programmers and
compilers the greatest benefit. Compilers, however, infrequently
exploit program profiles, because profiling a program requires a
programmer to instrument and run the program. An attractive
alternative is for the compiler to statically estimate program
profiles.. This paper presents several new techniques for static
branch prediction and profiling. The first technique combines
multiple predictions of a branch's outcome into a prediction of the
probability that the branch is taken. Another technique uses these
predictions to estimate the relative execution frequency (i.e.,
profile) of basic blocks and control-flow edges within a procedure. A
third algorithm uses local frequency estimates to predict the global
frequency of calls, procedure invocations, and basic block and
control-flow edge executions. Experiments on the SPEC92 integer
benchmarks and Unix applications show that the frequently executed
blocks, edges, and functions identified by our techniques closely
match those in a dynamic profile.
To appear: 27th IEEE/ACM International Symposium on Microarchitecture
(MICRO-27), Nov. 1994.
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