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Complex Matrix Transpose Matrix Multiplication Kernels

Module: Matrix Functions / Complex Matrix Transpose Matrix Multiplication

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Functions

Name
void plp_mat_mult_trans_cmplx_f32p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 32-bit floats on XpulpV2
void plp_mat_mult_trans_cmplx_f32s_xpulpv2(const float restrict pSrcA, const float restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, float *restrict pDstC)
Matrix transpose matrix multiplication for complex 32-bit floats on XpulpV2.
void plp_mat_mult_trans_cmplx_i16p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 16-bit integers on XpulpV2
void plp_mat_mult_trans_cmplx_i16s_rv32im(const int16_t restrict pSrcA, const int16_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 16-bit integers on RV32IM.
void plp_mat_mult_trans_cmplx_i16s_xpulpv2(const int16_t restrict pSrcA, const int16_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 16-bit integers on XpulpV2.
void plp_mat_mult_trans_cmplx_i32p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 32-bit integers on XpulpV2
void plp_mat_mult_trans_cmplx_i32s_rv32im(const int32_t restrict pSrcA, const int32_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 32-bit integers on RV32IM.
void plp_mat_mult_trans_cmplx_i32s_xpulpv2(const int32_t restrict pSrcA, const int32_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 32-bit integers on XpulpV2.
void plp_mat_mult_trans_cmplx_i8p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 8-bit integers on XpulpV2
void plp_mat_mult_trans_cmplx_i8s_rv32im(const int8_t restrict pSrcA, const int8_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 8-bit integers on RV32IM.
void plp_mat_mult_trans_cmplx_i8s_xpulpv2(const int8_t restrict pSrcA, const int8_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 8-bit integers on XpulpV2.
void plp_mat_mult_trans_cmplx_q16p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 16-bit fix-point on XpulpV2
void plp_mat_mult_trans_cmplx_q16s_rv32im(const int16_t restrict pSrcA, const int16_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t shift, int16_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 16-bit fix-point on RV32IM.
void plp_mat_mult_trans_cmplx_q16s_xpulpv2(const int16_t restrict pSrcA, const int16_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t shift, int16_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 16-bit fix-point on XpulpV2.
void plp_mat_mult_trans_cmplx_q32p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 32-bit fix-point on XpulpV2
void plp_mat_mult_trans_cmplx_q32s_rv32im(const int32_t restrict pSrcA, const int32_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t shift, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 32-bit fix-point on RV32IM.
void plp_mat_mult_trans_cmplx_q32s_xpulpv2(const int32_t restrict pSrcA, const int32_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t shift, int32_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 32-bit fix-point on XpulpV2.
void plp_mat_mult_trans_cmplx_q8p_xpulpv2(void * args)
parallel matrix transpose matrix multiplication for complex 8-bit fix-point on XpulpV2
void plp_mat_mult_trans_cmplx_q8s_rv32im(const int8_t restrict pSrcA, const int8_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t shift, int8_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 8-bit fix-point on RV32IM.
void plp_mat_mult_trans_cmplx_q8s_xpulpv2(const int8_t restrict pSrcA, const int8_t restrict pSrcB, uint32_t M, uint32_t N, uint32_t O, uint32_t shift, int8_t *restrict pDstC)
Matrix transpose matrix multiplication for complex 8-bit fix-point on XpulpV2.

Detailed Description

This module contains the kernels for complex matrix transpose matrix multiplication.

The Matrix Transpose Matrix Multiplication computes the product of two matrices with dimensions MxN and NxO. The first matrix is accessed row wise, the second column wise, all values form the first are multiplied with the values of the second and then sum of the result gives the value for the result matrix.

pDst[m,o] = pSrcA[m,0]*pSrcB[o,0] + pSrcA[m,1]*pSrcB[o,1] + ... + pSrcA[m,N-1]*pSrcB[o,N-1]

These functions assume both source matrices (pSrcA and pSrcB) and the output matrix (pDstC) to be complex. They must be stored such that real and imaginary part of any element directly are directly next to eachother. The dimensionality (M, N, O) still counts the number of elements in each dimension, such that a complex matrix X with shape MxN has size M * N * 2. To access the real and imatinary part of this matrix X, do:

Re(X[m, n]): pX[(m * N + n) * 2]
Im(X[m, n]): pX[(m * N + n) * 2 + 1]

There are functions for integer 32- 16- and 8-bit data types. For lower precision integers (16- and 8-bit), functions exploiting SIMD instructions are provided.

The naming scheme of the functions follows the following pattern (for example plp_mat_mult_trans_cmplx_i32s_xpulpv2):

plp_<function name>_<data type><precision><method>_<isa_extension>
name description
function_name mat_mult_trans_cmplx
data type {f, i, q} respectively for floats, integers, fixed points
precision {32, 16, 8} bits
method {s, v, p} meaning scalar, vectorized (i.e. SIMD) and parallel, respectively
isa_extension {rv32im, xpulpv2} respectively for ibex and riscy

Functions Documentation

function plp_mat_mult_trans_cmplx_f32p_xpulpv2

void plp_mat_mult_trans_cmplx_f32p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 32-bit floats on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_f32 struct initialized by plp_mat_mult_trans_cmplx_f32_parallel

Return: none

function plp_mat_mult_trans_cmplx_f32s_xpulpv2

void plp_mat_mult_trans_cmplx_f32s_xpulpv2(
    const float *__restrict__ pSrcA,
    const float *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    float *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 32-bit floats on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 32-bit floats on XpulpV2

function plp_mat_mult_trans_cmplx_i16p_xpulpv2

void plp_mat_mult_trans_cmplx_i16p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 16-bit integers on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_i16 struct initialized by plp_mat_mult_trans_cmplx_i16_parallel

Return: none

Par: Exploiting SIMD instructions

The 16 bit values are packed two each into 32 bit vectors and then the two dot products are performed on 32 bit vectors, with 32 bit accumulator.

function plp_mat_mult_trans_cmplx_i16s_rv32im

void plp_mat_mult_trans_cmplx_i16s_rv32im(
    const int16_t *__restrict__ pSrcA,
    const int16_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 16-bit integers on RV32IM.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 16-bit integers on RV32IM

function plp_mat_mult_trans_cmplx_i16s_xpulpv2

void plp_mat_mult_trans_cmplx_i16s_xpulpv2(
    const int16_t *__restrict__ pSrcA,
    const int16_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 16-bit integers on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 16-bit integers on XpulpV2

function plp_mat_mult_trans_cmplx_i32p_xpulpv2

void plp_mat_mult_trans_cmplx_i32p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 32-bit integers on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_i32 struct initialized by plp_mat_mult_trans_cmplx_i32_parallel

Return: none

function plp_mat_mult_trans_cmplx_i32s_rv32im

void plp_mat_mult_trans_cmplx_i32s_rv32im(
    const int32_t *__restrict__ pSrcA,
    const int32_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 32-bit integers on RV32IM.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 32-bit integers on RV32IM

function plp_mat_mult_trans_cmplx_i32s_xpulpv2

void plp_mat_mult_trans_cmplx_i32s_xpulpv2(
    const int32_t *__restrict__ pSrcA,
    const int32_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 32-bit integers on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 32-bit integers on XpulpV2

function plp_mat_mult_trans_cmplx_i8p_xpulpv2

void plp_mat_mult_trans_cmplx_i8p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 8-bit integers on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_i8 struct initialized by plp_mat_mult_trans_cmplx_i8_parallel

Return: none

Par: Exploiting SIMD instructions

The 8 bit values are packed four each into 32 bit vectors and then the four dot products are performed on 32 bit vectors, with 32 bit accumulator.

function plp_mat_mult_trans_cmplx_i8s_rv32im

void plp_mat_mult_trans_cmplx_i8s_rv32im(
    const int8_t *__restrict__ pSrcA,
    const int8_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 8-bit integers on RV32IM.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 8-bit integers on RV32IM

function plp_mat_mult_trans_cmplx_i8s_xpulpv2

void plp_mat_mult_trans_cmplx_i8s_xpulpv2(
    const int8_t *__restrict__ pSrcA,
    const int8_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 8-bit integers on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • pDstC Points to the output matrix of shape MxO

Return: none

matrix transpose matrix multiplication for complex 8-bit integers on XpulpV2

function plp_mat_mult_trans_cmplx_q16p_xpulpv2

void plp_mat_mult_trans_cmplx_q16p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 16-bit fix-point on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_q16 struct initialized by plp_mat_mult_trans_cmplx_q16_parallel

Return: none

Par:

  • Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs. * Exploiting SIMD instructions

The 16 bit values are packed two each into 32 bit vectors and then the two dot products are performed on 32 bit vectors, with 32 bit accumulator.

function plp_mat_mult_trans_cmplx_q16s_rv32im

void plp_mat_mult_trans_cmplx_q16s_rv32im(
    const int16_t *__restrict__ pSrcA,
    const int16_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    uint32_t shift,
    int16_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 16-bit fix-point on RV32IM.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • shift Amount to shift the result of each multiplication ot the right
  • pDstC Points to the output matrix of shape MxO

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

matrix transpose matrix multiplication for complex 16-bit fix-point on RV32IM

function plp_mat_mult_trans_cmplx_q16s_xpulpv2

void plp_mat_mult_trans_cmplx_q16s_xpulpv2(
    const int16_t *__restrict__ pSrcA,
    const int16_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    uint32_t shift,
    int16_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 16-bit fix-point on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • shift Amount to shift the result of each multiplication ot the right
  • pDstC Points to the output matrix of shape MxO

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

matrix transpose matrix multiplication for complex 16-bit fix-point on XpulpV2

function plp_mat_mult_trans_cmplx_q32p_xpulpv2

void plp_mat_mult_trans_cmplx_q32p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 32-bit fix-point on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_q32 struct initialized by plp_mat_mult_trans_cmplx_q32_parallel

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

function plp_mat_mult_trans_cmplx_q32s_rv32im

void plp_mat_mult_trans_cmplx_q32s_rv32im(
    const int32_t *__restrict__ pSrcA,
    const int32_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    uint32_t shift,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 32-bit fix-point on RV32IM.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • shift Amount to shift the result of each multiplication ot the right
  • pDstC Points to the output matrix of shape MxO

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

matrix transpose matrix multiplication for complex 32-bit fix-point on RV32IM

function plp_mat_mult_trans_cmplx_q32s_xpulpv2

void plp_mat_mult_trans_cmplx_q32s_xpulpv2(
    const int32_t *__restrict__ pSrcA,
    const int32_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    uint32_t shift,
    int32_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 32-bit fix-point on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • shift Amount to shift the result of each multiplication ot the right
  • pDstC Points to the output matrix of shape MxO

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

matrix transpose matrix multiplication for complex 32-bit fix-point on XpulpV2

function plp_mat_mult_trans_cmplx_q8p_xpulpv2

void plp_mat_mult_trans_cmplx_q8p_xpulpv2(
    void * args
)

parallel matrix transpose matrix multiplication for complex 8-bit fix-point on XpulpV2

Parameters:

  • args pointer to plp_mat_mat_mult_trans_cmplx_instance_q8 struct initialized by plp_mat_mult_trans_cmplx_q8_parallel

Return: none

Par:

  • Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs. * Exploiting SIMD instructions

The 8 bit values are packed four each into 32 bit vectors and then the four dot products are performed on 32 bit vectors, with 32 bit accumulator.

function plp_mat_mult_trans_cmplx_q8s_rv32im

void plp_mat_mult_trans_cmplx_q8s_rv32im(
    const int8_t *__restrict__ pSrcA,
    const int8_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    uint32_t shift,
    int8_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 8-bit fix-point on RV32IM.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • shift Amount to shift the result of each multiplication ot the right
  • pDstC Points to the output matrix of shape MxO

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

matrix transpose matrix multiplication for complex 8-bit fix-point on RV32IM

function plp_mat_mult_trans_cmplx_q8s_xpulpv2

void plp_mat_mult_trans_cmplx_q8s_xpulpv2(
    const int8_t *__restrict__ pSrcA,
    const int8_t *__restrict__ pSrcB,
    uint32_t M,
    uint32_t N,
    uint32_t O,
    uint32_t shift,
    int8_t *__restrict__ pDstC
)

Matrix transpose matrix multiplication for complex 8-bit fix-point on XpulpV2.

Parameters:

  • pSrcA Points to the first input matrix of shape MxN
  • pSrcB Points to the second input matrix of shape OxN
  • M Height of matrix SrcA and DstC
  • N Width of matrix SrcA and SrcB
  • O Height of matrix SrcB and width of matrix DstC
  • shift Amount to shift the result of each multiplication ot the right
  • pDstC Points to the output matrix of shape MxO

Return: none

Par: Fix-Point

Fix-Point and Shifting The result will be shifted by the parameter shift to the right (which corresponds to a multiplication by 2^-shift). Assume that matrix A is represente as pSrcA * 2^-x and matrix B as pSrcB * 2^-y (which means that A has x, and B has y bits after the binary point). Then, the output matrix C is represented as pDstC * 2^-(x + y - shift). The output matrix is also stored with the same number of bits as the inputs. Set the shift parameter such that no overflow occurrs.

matrix transpose matrix multiplication for complex 8-bit fix-point on XpulpV2


Updated on 2023-03-01 at 16:16:32 +0000