X-Git-Url: http://wien.tomnetworks.com/gitweb/?a=blobdiff_plain;f=man%2Fmprof-report.1;h=a2cb914ecc8824e5e8d1d8aa479700fde1eee721;hb=9aac2a41c43676d34573d409ab717e9f08477972;hp=c9b756bd9905261d9a094562f3f3fc69c868e929;hpb=129560cb97131f9ce1326a6683a519707bd98585;p=mono.git

diff --git a/man/mprof-report.1 b/man/mprof-report.1
index c9b756bd990..a2cb914ecc8 100644
--- a/man/mprof-report.1
+++ b/man/mprof-report.1
@@ -139,37 +139,12 @@ garbage collections
 to the control port
 .RE
 .IP \[bu] 2
-\f[I]sample[=TYPE[/FREQ]]\f[]: collect statistical samples of the
+\f[I]sample[=FREQ]\f[]: collect statistical samples of the
 program behaviour.
 The default is to collect a 100 times per second (100 Hz) the
 instruction pointer.
-This is equivalent to the value \[lq]cycles/100\[rq].
+This is equivalent to the value \[lq]100\[rq].
 A value of zero for \f[I]FREQ\f[] effectively disables sampling.
-On some systems, like with recent Linux kernels, it is possible to
-cause the sampling to happen for other events provided by the
-performance counters of the cpu.
-In this case, \f[I]TYPE\f[] can be one of:
-.RS 2
-.IP \[bu] 2
-\f[I]cycles\f[]: processor cycles
-.IP \[bu] 2
-\f[I]instr\f[]: executed instructions
-.IP \[bu] 2
-\f[I]cacherefs\f[]: cache references
-.IP \[bu] 2
-\f[I]cachemiss\f[]: cache misses
-.IP \[bu] 2
-\f[I]branches\f[]: executed branches
-.IP \[bu] 2
-\f[I]branchmiss\f[]: mispredicted branches
-.RE
-.IP \[bu] 2
-\f[I]time=TIMER\f[]: use the TIMER timestamp mode.
-TIMER can have the following values:
-.RS 2
-.IP \[bu] 2
-\f[I]fast\f[]: a usually faster but possibly more inaccurate timer
-.RE
 .IP \[bu] 2
 \f[I]maxframes=NUM\f[]: when a stack trace needs to be performed,
 collect \f[I]NUM\f[] frames at the most.
@@ -205,16 +180,15 @@ with the current process id and \f[I]%t\f[] with the current date
 and time, then do according to \f[I]OUTSPEC\f[]:
 .RS 2
 .IP \[bu] 2
-if \f[I]OUTSPEC\f[] begins with a \f[I]|\f[] character, execute the
-rest as a program and feed the data to its standard input
+If \f[I]OUTSPEC\f[] begins with a \f[I]|\f[] character, execute the
+rest as a program and feed the data to its standard input.
 .IP \[bu] 2
-if \f[I]OUTSPEC\f[] begins with a \f[I]-\f[] character, use the
-rest of OUTSPEC as the filename, but force overwrite any existing
-file by that name
+If \f[I]OUTSPEC\f[] begins with a \f[I]#\f[] character, parse the
+rest as a file descriptor number, and feed the data to this file
+descriptor.
 .IP \[bu] 2
 otherwise write the data the the named file: note that is a file by
-that name already exists, a warning is issued and profiling is
-disabled.
+that name already exists, it is truncated.
 .RE
 .IP \[bu] 2
 \f[I]report\f[]: the profiling data is sent to mprof-report, which
@@ -234,13 +208,8 @@ The following commands are available:
 \f[I]heapshot\f[]: perform a heapshot as soon as possible
 .RE
 .IP \[bu] 2
-\f[I]counters\f[]: sample counters values every 1 second. This allow
-a really lightweight way to have insight in some of the runtime key
-metrics. Counters displayed in non verbose mode are : Methods from AOT,
-Methods JITted using mono JIT, Methods JITted using LLVM, Total time
-spent JITting (sec), User Time, System Time, Total Time, Working Set,
-Private Bytes, Virtual Bytes, Page Faults and CPU Load Average (1min,
-5min and 15min).
+\f[I]nocounters\f[]: disables sampling of runtime and performance
+counters, which is normally done every 1 second.
 .IP \[bu] 2
 \f[I]coverage\f[]: collect code coverage data. This implies enabling
 the \f[I]calls\f[] option.
@@ -487,15 +456,6 @@ option: especially if the managed heap is big, since every object
 needs to be inspected.
 The \f[I]MODE\f[] parameter of the \f[I]heapshot\f[] option can be
 used to reduce the frequency of the heap shots.
-.IP "\f[I]Reduce the timestamp overhead\f[]" 4
-.Sp
-On many operating systems or architectures what actually slows down
-profiling is the function provided by the system to get timestamp
-information.
-The \f[I]time=fast\f[] profiler option can be usually used to speed
-up this operation, but, depending on the system, time accounting
-may have some level of approximation (though statistically the data
-should be still fairly valuable).
 .SS Dealing with the size of the data files
 .PP
 When collecting a lot of information about a profiled program, huge