AnsweredAssumed Answered

FFT Sample code performance on CPU and GPU

Question asked by anu9anna on Sep 6, 2012
Latest reply on Nov 15, 2012 by binying

Hi,

 

          I am using AMD Radeon HD 6770 Graphics Card and installed AMD SDKv2.7 & Catalyst Driver12.8 on RHEL6.0 . While running the "FFT" sample program on cpu device (Intel Core2 Duo)  and gpu device with timing option , on cpu device the program is running faster than on gpu .

 

 

[root@localhost x86]# ./FFT -t

Platform 0 : Advanced Micro Devices, Inc.

 

Original Input Real

15.3732 201.81 51.9855 89.2322 92.572 34.4675 96.2478 66.3863 11.345 225.168

 

 

Original Input Img

0.0600514 0.788318 0.203068 0.348563 0.361609 0.134639 0.375968 0.259322 0.0443163 0.879562

 

Platform found : Advanced Micro Devices, Inc.

 

Selected Platform Vendor : Advanced Micro Devices, Inc.

Device 0 : Juniper Device ID is 0x9bee888

Build Options are : -x clc++

Executing kernel for 1 iterations

-------------------------------------------

 

Output real

131643 -1085.95 -997.15 -1791.52 532.118 1659.74 -166.271 969.692 1189.76 -862.707

 

 

Output img

514.23 2289.84 936.489 -603.839 699.7 1018.18 1900.06 795.439 -1328.03 -293.334

 

Length                   Time(sec)                [Transfer+Kernel]Time(sec)

26214400                 0.932                    0.492                   

 

 

And with CPU ,

 

 

[root@localhost x86]# ./FFT -t --device cpu

Platform 0 : Advanced Micro Devices, Inc.

 

Original Input Real

15.3732 201.81 51.9855 89.2322 92.572 34.4675 96.2478 66.3863 11.345 225.168

 

 

Original Input Img

0.0600514 0.788318 0.203068 0.348563 0.361609 0.134639 0.375968 0.259322 0.0443163 0.879562

 

Platform found : Advanced Micro Devices, Inc.

 

Selected Platform Vendor : Advanced Micro Devices, Inc.

Device 0 : Intel(R) Core(TM)2 Duo CPU     E7500  @ 2.93GHz Device ID is 0x8d62ab8

Build Options are : -x clc++

Executing kernel for 1 iterations

-------------------------------------------

 

Output real

131643 -1085.95 -997.15 -1791.52 532.119 1659.74 -166.27 969.692 1189.76 -862.707

 

 

Output img

514.23 2289.84 936.49 -603.839 699.7 1018.18 1900.06 795.439 -1328.03 -293.334

 

Length                   Time(sec)                [Transfer+Kernel]Time(sec)

26214400                 0.695                    0.294          

 

 

    

How can I increase performance with GPU ?

 

 

 

Thanks

Outcomes