Révision 273
| ETSN/MyDFT_4.py (revision 273) | ||
|---|---|---|
| 164 | 164 |
print("Precision: ",np.linalg.norm(g_np-C_np),np.linalg.norm(h_np-D_np))
|
| 165 | 165 |
|
| 166 | 166 |
# OpenCL Implementation |
| 167 |
print("Performing OpenCL implementation")
|
|
| 167 | 168 |
TimeIn=time.time() |
| 168 | 169 |
i_np,j_np=OpenCLDFT(a_np,b_np) |
| 169 | 170 |
OpenCLElapsed=time.time()-TimeIn |
| ETSN/MyDFT_5.py (revision 273) | ||
|---|---|---|
| 212 | 212 |
print("Precision: ",np.linalg.norm(g_np-C_np),np.linalg.norm(h_np-D_np))
|
| 213 | 213 |
|
| 214 | 214 |
# OpenCL Implementation |
| 215 |
print("Performing OpenCL implementation")
|
|
| 215 | 216 |
TimeIn=time.time() |
| 216 | 217 |
i_np,j_np=OpenCLDFT(a_np,b_np) |
| 217 | 218 |
OpenCLElapsed=time.time()-TimeIn |
| ... | ... | |
| 220 | 221 |
print("Precision: ",np.linalg.norm(i_np-C_np),np.linalg.norm(j_np-D_np))
|
| 221 | 222 |
|
| 222 | 223 |
# CUDA Implementation |
| 224 |
print("Performing CUDA implementation")
|
|
| 223 | 225 |
TimeIn=time.time() |
| 224 | 226 |
k_np,l_np=CUDADFT(a_np,b_np) |
| 225 | 227 |
CUDAElapsed=time.time()-TimeIn |
| ETSN/MyDFT_5b.py (revision 273) | ||
|---|---|---|
| 152 | 152 |
print("Synthesis of kernel : %.3f" % Elapsed)
|
| 153 | 153 |
|
| 154 | 154 |
TimeIn=time.time() |
| 155 |
A_np = numpy.zeros_like(a_np)
|
|
| 156 |
B_np = numpy.zeros_like(a_np)
|
|
| 155 |
A_np = np.zeros_like(a_np)
|
|
| 156 |
B_np = np.zeros_like(a_np)
|
|
| 157 | 157 |
Elapsed=time.time()-TimeIn |
| 158 | 158 |
print("Allocation on Host for results : %.3f" % Elapsed)
|
| 159 | 159 |
|
| ... | ... | |
| 216 | 216 |
print("Precision: ",np.linalg.norm(g_np-C_np),np.linalg.norm(h_np-D_np))
|
| 217 | 217 |
|
| 218 | 218 |
# OpenCL Implementation |
| 219 |
print("Performing OpenCL implementation")
|
|
| 219 | 220 |
TimeIn=time.time() |
| 220 | 221 |
i_np,j_np=OpenCLDFT(a_np,b_np) |
| 221 | 222 |
OpenCLElapsed=time.time()-TimeIn |
| ... | ... | |
| 224 | 225 |
print("Precision: ",np.linalg.norm(i_np-C_np),np.linalg.norm(j_np-D_np))
|
| 225 | 226 |
|
| 226 | 227 |
# CUDA Implementation |
| 228 |
print("Performing CUDA implementation")
|
|
| 227 | 229 |
TimeIn=time.time() |
| 228 | 230 |
k_np,l_np=CUDADFT(a_np,b_np) |
| 229 | 231 |
CUDAElapsed=time.time()-TimeIn |
Formats disponibles : Unified diff