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Temporary workaround for RMM initial pool size bug #530

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Aug 7, 2020
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Temporary workaround for RMM initial pool size bug #530

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2 changes: 1 addition & 1 deletion docs/configs.md
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Expand Up @@ -29,7 +29,7 @@ scala> spark.conf.set("spark.rapids.sql.incompatibleOps.enabled", true)

Name | Description | Default Value
-----|-------------|--------------
<a name="memory.gpu.allocFraction"></a>spark.rapids.memory.gpu.allocFraction|The fraction of total GPU memory that should be initially allocated for pooled memory. Extra memory will be allocated as needed, but it may result in more fragmentation.|0.9
<a name="memory.gpu.allocFraction"></a>spark.rapids.memory.gpu.allocFraction|The fraction of total GPU memory that should be initially allocated for pooled memory. Extra memory will be allocated as needed, but it may result in more fragmentation.|0.5
<a name="memory.gpu.debug"></a>spark.rapids.memory.gpu.debug|Provides a log of GPU memory allocations and frees. If set to STDOUT or STDERR the logging will go there. Setting it to NONE disables logging. All other values are reserved for possible future expansion and in the mean time will disable logging.|NONE
<a name="memory.gpu.pooling.enabled"></a>spark.rapids.memory.gpu.pooling.enabled|Should RMM act as a pooling allocator for GPU memory, or should it just pass through to CUDA memory allocation directly.|true
<a name="memory.host.spillStorageSize"></a>spark.rapids.memory.host.spillStorageSize|Amount of off-heap host memory to use for buffering spilled GPU data before spilling to local disk|1073741824
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2 changes: 1 addition & 1 deletion sql-plugin/src/main/scala/com/nvidia/spark/rapids/RapidsConf.scala
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Expand Up @@ -258,7 +258,7 @@ object RapidsConf {
"result in more fragmentation.")
.doubleConf
.checkValue(v => v >= 0 && v <= 1, "The fraction value must be in [0, 1].")
.createWithDefault(0.9)
.createWithDefault(0.5)

val HOST_SPILL_STORAGE_SIZE = conf("spark.rapids.memory.host.spillStorageSize")
.doc("Amount of off-heap host memory to use for buffering spilled GPU data " +
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