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Created page with " * fft.h * * Created on: Jan 21, 2016 * Author: mryan: #ifndef FFT_H_ #define FFT_H_ #include <math.h> #include <time.h> #include <unistd.h> // assu..."

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/*
* fft.h
*
* Created on: Jan 21, 2016
* Author: mryan
*/
#ifndef FFT_H_
#define FFT_H_

#include <math.h>
#include <time.h>
#include <unistd.h>

// assuming basic number type is float (for now)
# ifndef fft_scalar
# define fft_scalar float
# endif

// (in-phase, quadrature) data is treated as a complex number
typedef struct {
fft_scalar re; // real, i.e. in-phase
fft_scalar im; // imaginary, i.e. quadrature
}fft_cpx;

// each CPU has a struct of this type set up in SRAM
typedef struct {
unsigned int status;
unsigned int cinadrs;
unsigned int lenP2; // power of 2 that gives length
unsigned int begin;
unsigned int nextbegin;
unsigned int oddadd;
unsigned int startP2; // power of 2 that gives butterfly to start with
unsigned int twadrs;
unsigned int toffset;
unsigned int tinc;
unsigned int normalise;
unsigned int arrange;
unsigned int realonly;
unsigned int secondpass;
unsigned int spare1; // bring up to a 16 word boundary
unsigned int spare2;
}fft_cpu;

#define FFT_WORK_MASK 1 // pick off last bit
#define FFT_NOWORK 0 // nothing to be done/finished
#define FFT_START 1 // work to be done/working

#define MAX_CPUS 4
#define LAST_CPU 8 // 0x1000
#define START_CPU_INDEX 0 // N.B. fft_multi() assumes is 0, CPU that starts on power up

#define IRQMP_ADRS 0x80000210 // address of multiprocessor status register
#define CPUS_PM1_MASK 0xf0000000 // tells how many CPUs in system minus 1
#define CPUS_PM1_SHIFTS 28 // shift them to low order
#define CPUS_MASK 0xf // bits used to power-up CPUs
#define CPU_START_PAUSE 1000 // pause between and after CPU startups

// set up space for the various arrays. S698PM SRAM is 32 Mbyte from 0x40000000.
#define FFT_SRAM 0x60000000 // half way
#define FFT_FLAGS FFT_SRAM+0x80000
#define FFT_CIN FFT_SRAM+0x100000 // space for 2 power 20 bytes,
#define FFT_RAIN FFT_SRAM+0x200000 // i.e. 2 power 18 doubles
#define FFT_TWIDDLES FFT_SRAM+0x400000 // i.e. 2 power 17 complex nos
#define FFT_COUT FFT_SRAM+0x600000
#define FFT_MAP FFT_SRAM+0x800000 // maps input index to rearranged index

#define FFT_MIN_LENP2 5 // minimum input 32 (in-phase,quadrature)
#define FFT_MAX_LENP2 17 // for consistency with space allocation above

/*
* FUNCTION DECLARATIONS
*/

/*
* The functions declared below are used to create an FFT
* using 1, 2 or 4 processors acting in parallel.
*
* At present the input array length must be a power of 2.
*
* At present the input data in each (in-phase, quadrature) pair must be C floats.
*
* The processing is based on arrays of complex numbers corresponding to
* the (in-phase, quadrature) data.
*
* If the input data is in-phase only, the input array will have 0 in each entry's
* quadrature component. An option is provided to allow this be exploited so as
* to get the result roughly twice as fast
*
* Usage:
* 0. Create an array holding the in-phase and quadrature data
* as complex numbers (fft_cpx).
*
* At present, the length of this array must be a power of 2.
* At present, data elements should be of the C float type.
*
* 1. The complex array must be arranged in an order suitable
* for 'discrimination in time' (DIT) processing.
*
* This can be done as the entries are made one at a time.
* An index array can first be created for use to map
* successive input to the correct position in the
* array. This can be stored in ROM, and reused to allocate data
* as it comes in to the appropriate place in the array.
*
* The function fftArrangeIndex() below is provided for
* this purpose.
*
* If the input data is not rearranged as it arrives,
* a parameter can be set to cause rearrangement to be done
* in parallel in the first phase of FFT processing on each CPU.
* In that case the FFT result does not overwrite the input data,
* but can be found in the FFT_RAIN area defined below.
*
* Alternatively, if the array already exists (as an array of complex numbers),
* it can be rearranged in situ using fftArrangeIn(),
* or as a new complex array using fftArrangOut().
*
* The data in the rearranged array is overwritten by the FFT
* results, so if it is desired to keep the original data
* either the parallel rearrangement parameter should be set
* or the fftArrangeOut() function should be used.
*
* To avoid the overhead of rearrangement it is best to rearrange
* the data as it arrives, if possible.
*
* 3. The 'twiddles' array, containing complex roots of unity,
* must be created. This is half the length of the input
* array of complex numbers, as due to symmetry only half
* of the roots need to be created and stored.
* The function fillTwiddles() is provided for this purpose.
*
* N.B. If the size of the data array does not change,
* the twiddles array can be stored in ROM.
* Two versions are needed in that case, one for the forward FFT,
* one for the inverse FFT. Both can be generated using fillTwiddles().
*
* 4. The appropriately arranged complex input array is passed to fftMulti(),
* together with the twiddles array and which processors to use.
* The result overwrites the original data in the rearranged array.
*
* 5. Other than input rearrangement, no copying is involved in passing data
* to the different processors, each is given a reference to a contiguous
* portion of the input array.
* A reference to the twiddles array is also passed, though the entries
* used in this by a processor are not contiguous.
*
* 6. All stages of processing up to the last two (4 CPUs) or last one (2 CPUs)
* are done independently on the CPUs, with no interaction between them.
* The last stage or stages require results generated by a different CPU,
* so must wait for the previous stages to complete before progressing.
*
* 7. If the 'real only', i.e in-phase only, option is selected any 'imaginary',
* i.e quadrature, component in the input is ignored and the input array compressed
* into half its length with the entries in the remaining half set to (0.0,0.0).
* The processing is done roughly twice as fast.
* Only the positive frequency components are produced,
* the negative frequency components are easily derived if needed by taking
* the complex conjugates of the positive frequency components,
* i.e. changing the sign of the imaginary component and leave the rest the same.
*/

/*
* FUNCTION DECLARATIONS
*/
/*
* This ASM-function returns the CPU index (0 to 3) of the current S698PM CPU.
*/
static inline unsigned int get_asr17(void);

/*
* Starting CPUs
*
* All CPUs have the same entry point.
* The linker defaults to 0x40000000.
* DMON's ep command is used to set each CPU's initial PC to this.
*
* This function is entered immediately on entering main().
* It determines the index (0 to 3) of the CPU running the code.
* If this is the START_CPU_INDEX it initializes the data areas used by all CPUs
* and returns to main().
* Otherwise, it checks to see if any work is waiting, does it,
* and halts the CPU. When work becomes available, the CPU is restarted,
* does the work, and halts again. This function never returns if running on
* these CPUs.
*
*/
int fftCpusStart(void);

/*
* Preliminary start of the selected CPUs if other than the one running this.
* Each such CPU starts, runs through its initialization code, and powers down
* Each CPU shares the same initialization code, so there is a pause between
* each startup just in case ...
*
* A CPU is restarted when there is work for it to do
* (restarts are done directly, not by this).
*
* Inputs:
* const int which cpus from 0 to 0xf, the current CPU, if selected, is ignored
*
* Returns: None
*
* N.B. This routine should not be used to restart CPUs
*/
void startCpus(const int whichcpus);

/*
* INPUT ARRAY REARRANGEMENT
*
* This is used with a discrimination in time (DIT) implementation of the FFT.
* Separate parts of the rearranged array can be processed independently
* on different CPUs without any interaction between the CPUs being required.
* The last two stages (4 CPUS) or just the last stage (2 CPUS)can only be done when
* the previous stages are finished, and are again distributed across all CPUs.
*
* The best approach to input rearrangement is to do it as the data arrives.
*
* Alternatively, by setting a parameter rearrangement can be done in parallel
* one each CPU.
*
* Three very similar functions, not parallel, are given to allow a complete input
* array be rearranged:
* fftArrangeOut an out of place rearrange, the input array is unchanged
* fftArrangeIn an in place rearrange, the input array is rearranged in situ
* fftaArrangeIndex creates an array of indexes. Entry [i] gives the index where
* the (in-phase, quadrature) complex pair should be stored when
* data is read one pair at a time
* - the input array will then not need further rearrangement
*
* All three functions assume the array length is a power of 2, and this power is what
* is input to give the array length.
*
* (Thanks for bit-swap method used to graphics.stanford.edu/~seander/bithacks.html#ReverseParallel)
*
*/

/*
* Out of place rearrangement of input array to prepare for FFT.
* Assumes array length is a power of 2.
*
* Inputs:
* fft_cpx* cin pointer to an array of complex numbers
* (the length of this array must be a power of 2)
* int lenP2 log to base 2 of array length. 0 <= lenP2 <= 30.
*
* fft_cpx* result pointer to resulting array of complex numbers
* (same length as cin array)
*
* Result: A rearranged version of cin input array in the result array
*
* N.B. Space for the result array of complex numbers must be allocated
* before calling this function, same length as the cin input array.
*
*/
void fftArrangeOut(fft_cpx* cin, fft_cpx* result, int lenP2);

/*
* In place rearrangement of input array to prepare for FFT.
* Assumes array length is a power of 2.
*
* Inputs:
* fft_cpx* cin pointer to an array of complex numbers
* (the length of this array must be a power of 2)
* int lenP2 log to base 2 of array length.
*
* Result: A rearranged version of cin input array in the same space
*
*/
void fftArrangeIn(fft_cpx* x, int lenP2);

/*
* Generate an array of indices giving the array position where each successive input
* should be placed in the input array.
* This array could be stored in ROM and used when inputting data so as to avoid
* any subsequent need to spend time rearranging the input array.
*
* Assumes amount of input datais a power of 2.
*
* Inputs:
* int * mapindex pointer to an array of ints that will hold the index to be used
* in the complex input array for each successive data input.
* (the length of this array must be a power of 2
* int lenP2 log to base 2 of array length. 0 <= lenP2 <= 30
* (regarding the array as an array of complex numbers)
*
* Result: mapindex will hold appropriate index in data array to use to hold complex input i
*
* N.B. if the input data is an array of scalars, the length of mapindex[] will be half of the length
* of the array to hold the scalars, and the input index k used to look up the mapindex array should only
* increment after each pair of reals have been added to dataarray[mapindex[k]<< 1] and dataarray[(mapindex[k]<< 1) +1]
* (they will be treated as the real and imaginary parts of the complex number at the index given by mapindex[k])
*
* N.B. Space for the mapindex array of ints must be allocated before calling this function,
* same length as complex data input array, half length of real data input arrays.
*
* N.B. The mapping array is its own inverse
*
*/
void fftArrangeIndex(int* mapindex, int lenP2);

/*
* If the 'realonly' option is selected, the input data is treated as having in-phase components only
* and any quadrature component is ignored and will be overwritten in processing.
* The 'real', i.e. in-phase input components are rearranged into half the number of inputs
* with every second in-phase input now in the quadrature position, and zero in remaining half of the input array.
* This allows faster FFT processing but requires post-processing.
* (Post processing is distributed across all processors and done later in a final processing phase.
* It produces the positive frequency components only, the negative components can be obtained by taking
* the complex conjugates of these.)
*
* Assumes amount of input data is a power of 2.
*
* Inputs:
* fft_cpx * cin input array with all 0s in quadrature (imaginary) positions.
* Altered so that quadrature positions hold alternate real inputs,
* and remaining array entries are made (0.0,0.0)
* int lenP2 log to base 2 of array length. 0 <= lenP2 <= 30.
* (regarding the array as an array of complex numbers)
*
* Result: first half of cin holds rearranged data, rest is (0.0,0.0)
*
* N.B. use of this function can usually be avoided by simply casting an input
* array of scalars to be an array of complex numbers.
*/
void fftRealOnlyArrange(fft_cpx * cin, const int lenP2);

/*
* TWIDDLES ARRAY
*/

/*
* For an input data array of length N the 'twiddle' factors are the N complex roots
* of unity. Only N/2 of these are calculated, as the others are just minus these,
* and are provided by using subtraction rather than addition.
*
* Getting the complex roots of unity is time consuming, so where the size of
* array to be processed is known in advance the twiddles array should be stored
* in ROM. Two arrays should be stored, one for the forward FFT, one for the inverse.
* Each has length N/2, half that of the complex data array.
*
* Time consuming calculations of sines and cosines are involved, but in some cases
* can be avoided by exploiting various symmetries. These require the complex data array
* size to be at least 8, but it is restricted here to at least 1 << FFT_MIN_LENP2, or 32 at present.
*
*
* Inputs:
* fft_cpx* twiddles pointer to an array of complex numbers
* (the length of this array will be half the length
* of the complex data array with which the twiddles
* array will be used)
* const int lenP2 log to base 2 of complex data array length.
* (from FFT_MIN_LENP2 to FFT_MAX_LENP2, i.e. 5 to 17)
*
* const int type 0 for FFT, 1 for inverse FFT
*
* Result: N/2 of the N complex roots of unity in twiddles array
*
* N.B. Space for the twiddles array of N/2 complex numbers must be allocated
* before calling this function, where N is the length of the complex data
* array. i.e. 1 << lenP2.
*
*/
void fillTwiddles(fft_cpx* twiddles, const int lenP2, const int type);

/*
* FFT PROCESSING
*
* The (in-phase, quadrature) input data is regarded as an array of complex numbers.
* The resulting FFT is also an array of complex numbers.
*
* If the data is not already in rearranged order, by setting the 'arrange' parameter
* the input array can be rearranged in parallel, with each CPU doing its own section.
* This involves copying the original input data into the area at FFT_RAIN,
* where it will eventually be overwritten by the FFT result, with the original
* input data left unchanged.
*
*/

/*
* This function calculates all or part of the FFT.
* It can be used on separate processors or in separate threads.
*
* It processes part or all of a complex data array, replacing parts of the
* array with appropriate FFT data. After any initial rearrangement
* all processing is done in situ .
*
* The length of a sub-array must be a power of 2 and no less than 8.
* The sub-array can be the whole array.
*
* The size of the butterfly blocks with which to start processing a sub-array is
* input as a power of 2.
*
* Where the blocks in the subarray have not already been processed,
* the starting power of 2 is 1.
*
* If parts of a subarray have already been processed, the correct butterfly
* step must be given. All parts of the subarray must have the same size.
*
* The post-processing phrase needed when the original data is in-phase only
* is done if 'secondpass' is set.
*
* Rearrangement of the data for this section is done if the 'arrange' is set.
*
*
* Inputs:
* fft_cpx* arranged pointer to the array of complex numbers that
* initially contains the rearranged complex data input.
* Will hold result.
* const int lenP2 Power of 2 that gives length of input array.
*
* const int start position in array at which sub-array starts
* const int nextstart position one after end of data to process
* N.B. (nextstart - start) must be a power of 2
*
* const int oddadd Added internally to half of sub-array size.
* Used to get distance from even to odd entries.
*
* const int startP2 power of 2 that gives butterfly at which to start.
* Must be at least 1.
* 1 if no previous processing done on this sub-array.
* Otherwise gives size of butterfly to start with.
*
* const fft_cpx* twiddles pointer to twiddles array - this must correspond
* to the original complete complex input array.
* const int toffset initial offset into twiddles array
* const int twinc initial increment to using going through twiddles array
*
* const int normalise 0 for don't normalize, anything else -> normalize
*
* const int arrange 0 for don't arrange, anything else -> arrange
*
* const int realonly 0 if original data complex, 1 if in-phase only
* and has been rearranged
*
* const int secondpass 0 if not ready to do post-processing,
* 1 to do post-processing only
*
* Result: FFT processed values in situ in this subarray
*
* N.B. If 'realonly' is selected, assumes that the input array is a compressed
* version of something twice as long, and that this additional space
* is available.
*
* N.B. If 'realonly' is selected, FFT result contains the positive frequencies
* only. Negative frequencies are easily derived if needed as the complex
* conjugates of these.
*
*/
void fftProc(fft_cpx* arranged, const int lenP2,
const int start, const int nextstart,
const int oddadd, const int startP2,
const fft_cpx* twiddles,
const int toffset, const int twinc,
const int normalise, const int arrange,
const int realonly, const int secondpass);

/*
* Allocates work of doing FFT to one or more CPUs
* and combines results from them to give FFT.
*
* The input is an array of complex numbers representing the
* (in-phase,quadrature) data.
* Its length must be a power of 2 - this power rather than the
* length is input.
*
* The complex number array giving the FFT is returned in situ
* in the input array, unless the 'arrange parameter is set,
* in which case the result is in the area at FFT_RAIN.
*
* At present the number of CPUs to use must be 1, 2 or 4.
*
* Inputs:
* fft_cpx* arranged pointer to an array of complex numbers that
* holds the rearranged complex data input.
* Will hold result.
* const int lenP2 power of 2 that gives size of array
*
* const fft_cpx* twiddles pointer to twiddles array
* - this must correspond to input array
* (it will be half its size)
*
* const int whichcpus 1 to 0xf, which CPUs to use (binary xxxx, x=1 for use)
*
* const int normalise 0 for don't normalize, anything else -> normalize
*
* const int arrange 0 for don't arrange, anything else -> arrange
*
* const int realonly 0 if original data has both components, 1 if in-phase only
* and has been rearranged
*
* Result: Complex valued FFT in situ in arranged
*
* N.B. Assumes START_CPU_INDEX is 0
*
*/
void fftMulti(fft_cpx* cin, const int lenP2,
const fft_cpx* twiddles,
const int whichcpus,
const int normalise,
const int arrange,
const int realonly);

/*
* Gives one part of the FFT calculation to the selected CPU for execution.
*
* The input is part of an array of complex numbers.
* Its length must be a power of 2 - this power rather than the
* length is input.
*
* The output is placed in the appropriate locations in the input array,
* unless the 'arrange' parameter is set, in which case the output is
* in the area at FFT_RAIN.
*
* At present the identifier of the CPU to use must be 1, 2, 4 or 8, anything
* else the function returns without doing anything.
*
* Inputs:
* const int which which CPU to use - must be 1, 2, 4 or 8
*
* fft_cpx* arranged pointer to an array of complex numbers that
* holds the rearranged complex data input.
* Will hold result.
* const int lenP2 power of 2 that gives size of array
*
* const int begin index into arranged, location where this processing is to start
*
* const int nextbegin index into arranged, begin <= index < nextbegin
*
* const int oddadd Added internally to half of sub-array size.
* Used to get distance from even to odd entries.
* const int startP2 1 << (lenP2 - startP2) gives initial step size in twiddles array
*
* const fft_cpx* twiddles pointer to twiddles array
* - this must correspond to input array
* (it will be half its size)
*
* const int toffset initial offset into twiddles array
* const int twinc initial increment to using going through twiddles array
*
* const int normalise 0 for don't normalize, anything else -> normalize
*
* const int arrange 0 for don't arrange, anything else -> arrange
*
* const int realonly 0 if original data complex, 1 if in-phase only
* and has been rearranged
*
* Result: Updated complex values for this stage of FFT processing in arranged
*
*/
void giveToCpu(const int which, // 1,2,4 or 8
fft_cpx* cin, const int lenP2, // input array
const int begin, const int nextbegin, // part indices
const int oddadd, const int startP2,
const fft_cpx* twiddles,
const int toffset, const int twinc,
const int normalise, const int arrange,
const int realonly, const int secondpass);

/*
* Wait for selected CPUs to have finished.
* Returns when no CPU has work pending.
* Can wait indefinitely. TODO put in a time check
*
* All stages of the FFT except at most the last two (for the S698PM) proceed independently
* with no need for communication between CPUs.
*
* If using 4 CPUs, each of the last two stages must wait for all CPUs to have finished
* the preceding stage.
*
* If using 2 CPUs, they must wait to process the last stage until both CPUs have finished
* the earlier stages.
*
* Inputs:
* const int whichcpus which CPUs to check - xxxx, 1 to check, 0 not to check
*
*
* Result: Wait, only return when no selected CPU has work pending
*/
void fftWait();

/*
* UTILITIES
*/

/*
* Get the number of CPUs enabled by the selections in whichcpus.
*
* Input:
* const int whichcpus 0 to 0xf (binary xxxx, 1 = use CPU
*
* Output:
* int Count of currently selected CPUs ( 0 to 4)
*
*/
int getNumCpus(const int whichcpus);

/*
* Validate the input settings and correct if possible
*
* Inputs:
* const int lenP2 must be from FFT_MIN_LENP2 to FFT_MAX_LENP2, (i.e. 5 to 17)
*
* int * cpusrequest should be from 0 to 0xf, corresponding to 1, 2 or 4 cpus (but not 3)
* (correction attempt made if three CPUs chosen)
*
* const int numruns no validation
*
* const int type must be 0 or 1
*
* int * lines corrected to 1 << lenP2 if greater than this
*
* Returns:
* int 0 if all o.k., 1 if a problem (messages given),
*
* Inputs:
*
*/
int settingsIncorrect(const int lenP2, int *cpusrequest, const int numruns, const int type, int* lines);

/*
* Display an array of complex numbers on the console.
* Can be used to display data input or FFT result.
*
* N.B. At present assumes floats being used
*
* Inputs:
* fft_cpx* in input array of complex numbers
*
* const int length length of the array
*
* const double tolerance absolute values less than this are shown as 0.0
*
* Result: Array is output to the console
*
*/
void showC(const fft_cpx* in, const int length, const double tolerance);

/*
* Display main parts of FFT result on the console.
* Shows initial 8 positive frequency components including 0 component,
* show 8 components before Nyquist frequency, 8 components from Nyquist,
* and last 8 components.
* If 'realonly' is selected, shows result up to Nyquist frequency only.
*
* N.B. At present assumes floats being used
*
* Inputs:
* fft_cpx* in input array of complex numbers
*
* const int length length of the array
*
* const double tolerance absolute values less than this are shown as 0.0
*
* const int realonly 0 to show full FFT, 1 to show non-negative frequencies only.
*
* Result: Array is output to the console
*
*/
void show8C(const fft_cpx* in, const int length, const double tolerance, const int realonly);

#endif // FFT_H_

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Fft.h - Revision history

imported>Bkavanagh: Created page with " /* * fft.h * * Created on: Jan 21, 2016 * Author: mryan */ #ifndef FFT_H_ #define FFT_H_ #include #include #include // assu..."

imported>Bkavanagh: Created page with " /* * fft.h * * Created on: Jan 21, 2016 * Author: mryan */ #ifndef FFT_H_ #define FFT_H_ #include #include #include // assu..."