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author | Duncan Coutts <duncan@well-typed.com> | 2011-06-01 19:48:15 +0100 |
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committer | Duncan Coutts <duncan@well-typed.com> | 2011-07-18 16:31:14 +0100 |
commit | fa8d20e6d85212290b633159b6ef2d77fb1c4021 (patch) | |
tree | 0dd7f7926d2c3a482e451a691f794fde2cae9a38 /rts/Capability.c | |
parent | 556557ebee2758acade603e25a8a16266dea791d (diff) | |
download | haskell-fa8d20e6d85212290b633159b6ef2d77fb1c4021.tar.gz |
Classify overflowed sparks separately
When you use `par` to make a spark, if the spark pool on the current
capability is full then the spark is discarded. This represents a
loss of potential parallelism and it also means there are simply a
lot of sparks around. Both are things that might be of concern to a
programmer when tuning a parallel program that uses par.
The "+RTS -s" stats command now reports overflowed sparks, e.g.
SPARKS: 100001 (15521 converted, 84480 overflowed, 0 dud, 0 GC'd, 0 fizzled)
Diffstat (limited to 'rts/Capability.c')
-rw-r--r-- | rts/Capability.c | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/rts/Capability.c b/rts/Capability.c index e12bf994f3..d93c9c1eda 100644 --- a/rts/Capability.c +++ b/rts/Capability.c @@ -234,6 +234,7 @@ initCapability( Capability *cap, nat i ) cap->inbox = (Message*)END_TSO_QUEUE; cap->spark_stats.created = 0; cap->spark_stats.dud = 0; + cap->spark_stats.overflowed = 0; cap->spark_stats.converted = 0; cap->spark_stats.gcd = 0; cap->spark_stats.fizzled = 0; |