Being interested about the modern low powered Kabini/Temash APUs from AMD I was searching the internet for information regarding its compute performance on its GPU. I couldn't find almost anything. Their GPU is supposed to be based on GCN architecture but no more information was available. In addition, the AMD's APP SDK documents are outdated and they do not include any information about this APU. In fact they do not even include any information about the Bonaire GPU (HD 7790 & R7 260X branded cards) which is even older. AMD should definitely change it's policy if they want to be taken seriously about GPU computing. I hope an updated reference guide will be released anytime soon covering all recently released GPUs/APUs (Kabini/Temash, Bonaire, Hawai) and what is about to be released (Kaveri APU).
So I recently I got access to a small form laptop based on the A6-1450 APU (Temash) and I would like to share some experience I had with it. After struggling for 1-2 days to install a Linux distro on it I managed to install the Ubuntu 12.04.3. I couldn't install a recent version (i.e. 13.10) as it needed to initiate a graphics mode and with the supplied kernel it was not possible to execute the installer. 12.04.3 installed ok and thereafter I was able to install the catalyst manually. As I already tested with the Ubuntu 14.04 Alpha 1 this seems to be fixed.
In theory this APU features a quad core Jaguar CPU and a 128 shader GPU (HD 8250) operating at 300MHz with an overclock capability (max 400MHz). Unfortunately, memory is clocked at 1066MHz though I hoped it would be 1333MHz.
As all released APUs this one also supports OpenCL. So, I'll provide some information here to anyone who is interested. First, here is a revealing output of the clinfo tool:
Number of platforms: 1
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 1.2 AMD-APP (1214.3)
Platform Name: AMD Accelerated Parallel Processing
Platform Vendor: Advanced Micro Devices, Inc.
Platform Extensions: cl_khr_icd cl_amd_event_callback cl_amd_offline_devices
Platform Name: AMD Accelerated Parallel Processing
Number of devices: 2
Device Type: CL_DEVICE_TYPE_GPU
Device ID: 4098
Board name: AMD Radeon HD 8250
Device Topology: PCI[ B#0, D#1, F#0 ]
Max compute units: 2
Max work items dimensions: 3
Max work items[0]: 256
Max work items[1]: 256
Max work items[2]: 256
Max work group size: 256
Preferred vector width char: 4
Preferred vector width short: 2
Preferred vector width int: 1
Preferred vector width long: 1
Preferred vector width float: 1
Preferred vector width double: 1
Native vector width char: 4
Native vector width short: 2
Native vector width int: 1
Native vector width long: 1
Native vector width float: 1
Native vector width double: 1
Max clock frequency: 400Mhz
Address bits: 32
Max memory allocation: 136839168
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 16384
Max image 2D height: 16384
Max image 3D width: 2048
Max image 3D height: 2048
Max image 3D depth: 2048
Max samplers within kernel: 16
Max size of kernel argument: 1024
Alignment (bits) of base address: 2048
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: No
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: Read/Write
Cache line size: 64
Cache size: 16384
Global memory size: 370147328
Constant buffer size: 65536
Max number of constant args: 8
Local memory type: Scratchpad
Local memory size: 32768
Kernel Preferred work group size multiple: 64
Error correction support: 0
Unified memory for Host and Device: 1
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue properties:
Out-of-Order: No
Profiling : Yes
Platform ID: 0x00007f1d93cc6fc0
Name: Kalindi
Vendor: Advanced Micro Devices, Inc.
Device OpenCL C version: OpenCL C 1.2
Driver version: 1214.3 (VM)
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (1214.3)
Extensions: cl_khr_fp64 cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_gl_sharing cl_ext_atomic_counters_32 cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_image2d_from_buffer
Device Type: CL_DEVICE_TYPE_CPU
Device ID: 4098
Board name:
Max compute units: 4
Max work items dimensions: 3
Max work items[0]: 1024
Max work items[1]: 1024
Max work items[2]: 1024
Max work group size: 1024
Preferred vector width char: 16
Preferred vector width short: 8
Preferred vector width int: 4
Preferred vector width long: 2
Preferred vector width float: 8
Preferred vector width double: 4
Native vector width char: 16
Native vector width short: 8
Native vector width int: 4
Native vector width long: 2
Native vector width float: 8
Native vector width double: 4
Max clock frequency: 600Mhz
Address bits: 64
Max memory allocation: 2147483648
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 8192
Max image 2D height: 8192
Max image 3D width: 2048
Max image 3D height: 2048
Max image 3D depth: 2048
Max samplers within kernel: 16
Max size of kernel argument: 4096
Alignment (bits) of base address: 1024
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: Yes
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: Read/Write
Cache line size: 64
Cache size: 32768
Global memory size: 5670133760
Constant buffer size: 65536
Max number of constant args: 8
Local memory type: Global
Local memory size: 32768
Kernel Preferred work group size multiple: 1
Error correction support: 0
Unified memory for Host and Device: 1
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: Yes
Queue properties:
Out-of-Order: No
Profiling : Yes
Platform ID: 0x00007f1d93cc6fc0
Name: AMD A6-1450 APU with Radeon(TM) HD Graphics
Vendor: AuthenticAMD
Device OpenCL C version: OpenCL C 1.2
Driver version: 1214.3 (sse2,avx)
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (1214.3)
Extensions: cl_khr_fp64 cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_gl_sharing cl_ext_device_fission cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt
It's good that double precision arithmetic is actually supported on this APU (the brazos APUs did not) and this is actually something I didn't know. I measured the raw performance using FlopsCL (
http://olab.is.s.u-tokyo.ac.jp/~kamil.rocki/projects.html) and proved to be 91 GFLOPS on single precision and 6.4 GFLOPS on double precision (which I wasn't sure it supported) arithmetic. It's not the supercomputer you were looking for but think that the whole APU has just 8W TDP.
Next, I measured the effective bandwidth with a custom OpenCL application. This proved to reach near 7GB/sec. It's just ok.
For the last I left the NVidia's nbody simulation (it was included in the CUDA SDKs prior to version 5). With a small modification it can run on AMD GPUs as well (and equally well).
Here is a screenshot:
 |
| NVidia's nbody sample OpenCL application on A6-1450 |
Press here for a larger screenshot.
The results are quite good. For a 16384 body benchmark (parameters:
--qatest --n=16384) the APU performed almost 50GFLOP/S (49.67). Let me note here that my
8600GTS did about the same!
On summary, the APU consists a nice mobile development platform for OpenCL applications which supports double precision maths with minimal power footprint.
