1 // See LICENSE for license details.
3 //**************************************************************************
4 // Multi-threaded Matrix Multiply benchmark
5 //--------------------------------------------------------------------------
6 // TA : Christopher Celio
10 // This benchmark multiplies two 2-D arrays together and writes the results to
11 // a third vector. The input data (and reference data) should be generated
12 // using the matmul_gendata.pl perl script and dumped to a file named
16 // print out arrays, etc.
19 //--------------------------------------------------------------------------
27 //--------------------------------------------------------------------------
28 // Input/Reference Data
33 //--------------------------------------------------------------------------
34 // Basic Utilities and Multi-thread Support
39 //--------------------------------------------------------------------------
42 extern void __attribute__((noinline
)) matmul(const int coreid
, const int ncores
, const int lda
, const data_t A
[], const data_t B
[], data_t C
[] );
45 //--------------------------------------------------------------------------
48 // all threads start executing thread_entry(). Use their "coreid" to
49 // differentiate between threads (each thread is running on a separate core).
51 void thread_entry(int cid
, int nc
)
53 static data_t results_data
[ARRAY_SIZE
];
55 stats(matmul(cid
, nc
, DIM_SIZE
, input1_data
, input2_data
, results_data
); barrier(nc
), DIM_SIZE
/DIM_SIZE
/DIM_SIZE
);
57 int res
= verifyDouble(ARRAY_SIZE
, results_data
, verify_data
);
60 printArray("results:", ARRAY_SIZE
, results_data
);
61 printArray("verify :", ARRAY_SIZE
, verify_data
);