ScanTraits< T, oper, backward, exclusive, multiRow, sums, fullBlock > Class Template Reference

Template class containing compile-time parameters to the scan functions. More...

List of all members.

Static Public Member Functions
static __device__ bool	isBackward ()
	Returns true if this is a backward scan.
static __device__ bool	isExclusive ()
	Returns true if this is an exclusive scan.
static __device__ bool	isMultiRow ()
	Returns true if this a multi-row scan.
static __device__ bool	writeSums ()
	Returns true if this scan writes the sum of each block to the d_blockSums array (multi-block scans)
static __device__ bool	isFullBlock ()
	Returns true if this is a full scan -- all blocks process CTA_SIZE * SCAN_ELEMENTS_PER_THREAD elements.
static __device__ T	op (const T &a, const T &b)
	The operator function used for the scan.
static __device__ T	identity ()
	The identity value used by the scan.

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Detailed Description

template<class T, CUDPPOperator oper, bool backward, bool exclusive, bool multiRow, bool sums, bool fullBlock>
class ScanTraits< T, oper, backward, exclusive, multiRow, sums, fullBlock >

Template class containing compile-time parameters to the scan functions.

ScanTraits is passed as a template parameter to all scan functions. By using these compile-time functions we can enable generic code while maintaining the highest performance. This is crucial for the performance of low-level workhorse algorithms like scan.

Parameters:

T	The datatype of the scan
oper	The CUDPPOperator to use for the scan (add, max, etc.)
multiRow	True if this is a multi-row scan
unroll	True if scan inner loops should be unrolled
sums	True if each block should write it's sum to the d_blockSums array (false for single-block scans)
backward	True if this is a backward scan
fullBlock	True if all blocks in this scan are full (CTA_SIZE * SCAN_ELEMENTS_PER_THREAD elements)
exclusive	True for exclusive scans, false for inclusive scans

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The documentation for this class was generated from the following file:

• scan_cta.cu