NVIDIA’s latest Tesla accelerator is without a doubt the most powerful GPU available. With almost 3,000 CUDA cores and 12GB GDDR5 memory, it wins in practically every* performance test you’ll see. As with the “Kepler” K20 GPUs, the Tesla K40 supports NVIDIA’s latest SMX, Dynamic Parallelism and Hyper-Q capabilities (CUDA compute capability 3.5). It also introduces professional-level GPU Boost capability to squeeze every bit of performance your code can pull from the GPU’s 235W power envelope.
Maximum GPU Memory and Compute Performance: Tesla K40 GPU Accelerator
Integrated in Microway NumberSmasher GPU Servers and GPU Clusters
Specifications
- 2880 CUDA GPU cores (GK110b)
- 4.2 TFLOPS single; 1.4 TFLOPS double-precision
- 12GB GDDR5 memory
- Memory bandwidth up to 288 GB/s
- PCI-E x16 Gen3 interface to system
- GPU Boost increased clock speeds
- Supports Dynamic Parallelism and HyperQ features
- Active and Passive heatsinks available for installation in workstations and specially-designed GPU servers
The new GPU also leverages PCI-E 3.0 to achieve over 10 gigabytes per second transfers between the host (CPUs) and the devices (GPUs):
[root@node3 tests]# ./gpu_bandwidthTest --memory=pinned --device=0 [CUDA Bandwidth Test] - Starting... Running on... Device 0: Tesla K40m Quick Mode Host to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 10038.7 Device to Host Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 10046.7 Device to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 202665.0 Result = PASS
Technical Details
Here is the full list of capabilities reported by NVIDIA’s SMI tool. Memory error detection and correction (ECC) is supported on all components of the Tesla GPU. Notice that GPU Boost allows the top CUDA core clock frequency to be set to 745 MHz, 810 MHz or 875 MHz:
[root@node3 ~]# nvidia-smi -a -i 0
==============NVSMI LOG==============
Timestamp : Mon Nov 11 21:42:13 2013
Driver Version : 325.15
Attached GPUs : 3
GPU 0000:02:00.0
Product Name : Tesla K40m
Display Mode : Disabled
Display Active : Disabled
Persistence Mode : Enabled
Accounting Mode : Disabled
Accounting Mode Buffer Size : 128
Driver Model
Current : N/A
Pending : N/A
Serial Number : 032391304xxxx
GPU UUID : GPU-3964f3ae-5ee0-2afc-5d93-9f1edd2axxxx
VBIOS Version : 80.80.24.00.06
Inforom Version
Image Version : 2081.0202.01.04
OEM Object : 1.1
ECC Object : 3.0
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
PCI
Bus : 0x02
Device : 0x00
Domain : 0x0000
Device Id : 0x102310DE
Bus Id : 0000:02:00.0
Sub System Id : 0x097E10DE
GPU Link Info
PCIe Generation
Max : 3
Current : 1
Link Width
Max : 16x
Current : 16x
Fan Speed : N/A
Performance State : P8
Clocks Throttle Reasons
Idle : Active
Applications Clocks Setting : Not Active
SW Power Cap : Not Active
HW Slowdown : Not Active
Unknown : Not Active
Memory Usage
Total : 11519 MB
Used : 69 MB
Free : 11450 MB
Compute Mode : Default
Utilization
Gpu : 0 %
Memory : 0 %
Ecc Mode
Current : Enabled
Pending : Enabled
ECC Errors
Volatile
Single Bit
Device Memory : 0
Register File : 0
L1 Cache : 0
L2 Cache : 0
Texture Memory : 0
Total : 0
Double Bit
Device Memory : 0
Register File : 0
L1 Cache : 0
L2 Cache : 0
Texture Memory : 0
Total : 0
Aggregate
Single Bit
Device Memory : 0
Register File : 0
L1 Cache : 0
L2 Cache : 0
Texture Memory : 0
Total : 0
Double Bit
Device Memory : 0
Register File : 0
L1 Cache : 0
L2 Cache : 0
Texture Memory : 0
Total : 0
Retired Pages
Single Bit ECC : 0
Double Bit ECC : 0
Pending : No
Temperature
Gpu : 26 C
Power Readings
Power Management : Supported
Power Draw : 19.49 W
Power Limit : 235.00 W
Default Power Limit : 235.00 W
Enforced Power Limit : 235.00 W
Min Power Limit : 150.00 W
Max Power Limit : 235.00 W
Clocks
Graphics : 324 MHz
SM : 324 MHz
Memory : 324 MHz
Applications Clocks
Graphics : 745 MHz
Memory : 3004 MHz
Default Applications Clocks
Graphics : 745 MHz
Memory : 3004 MHz
Max Clocks
Graphics : 875 MHz
SM : 875 MHz
Memory : 3004 MHz
Compute Processes : None
[root@node3 ~]# nvidia-smi -q -d SUPPORTED_CLOCKS -i 0
==============NVSMI LOG==============
Timestamp : Mon Nov 11 21:42:45 2013
Driver Version : 325.15
Attached GPUs : 3
GPU 0000:02:00.0
Supported Clocks
Memory : 3004 MHz
Graphics : 875 MHz
Graphics : 810 MHz
Graphics : 745 MHz
Graphics : 666 MHz
Memory : 324 MHz
Graphics : 324 MHz
NVIDIA deviceQuery on Tesla K40
The output below, from the CUDA 5.5 SDK samples, shows additional details of the architecture and capabilities of the Tesla K40 GPU accelerators.
deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Tesla K40m"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 3.5
Total amount of global memory: 12288 MBytes (12884705280 bytes)
(15) Multiprocessors, (192) CUDA Cores/MP: 2880 CUDA Cores
GPU Clock rate: 876 MHz (0.88 GHz)
Memory Clock rate: 3004 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.5, CUDA Runtime Version = 5.5, NumDevs = 1, Device0 = Tesla K40m
Result = PASS
*Caveat on Tesla K40 performance boost: users with very specific, memory-intensive, single-precision floating point and/or integer math may be better served by the NVIDIA Tesla K10 GPU Accelerator with 8GB GDDR5 memory. Please speak with one of our GPU experts.
Additional Tesla K40 Information
To learn more about the differences between the Tesla K40 and other versions of the Tesla product line, please review our In-Depth Comparison of NVIDIA Tesla “Kepler” GPU Accelerators.
