Nvidia TESLA K40 Manual de usuario

BD-06902-001_v05 | November 2013

Board Specification

TESLA K40 GPU ACCELERATOR

Tesla K40 GPU Accelerator BD-06902-001_v05 | ii

DOCUMENT CHANGE HISTORY

BD-06902-001_v05

Version Date Authors Description of Change

01 July 3, 2013 GG, SM Preliminary Information (Information contained

within this board specification is subject to

change)

02 August 1, 2013 GG, SM •

Updated product name

•Updated core clocks speeds

•Updated block diagram in Figure 1

03 September 19, 2013 GG, SM •Added new section: “NVIDIA GPU Boost on Tesla

K40”

•Updated “Power Specifications” section

•General updates throughout the board

specification

•Added board environmental conditions

04 September 25, 2013 GG, SM Updated boost clock

05 November 11, 2013 GG, SM, DV

•Updated MTBF numbers

•Added Figure 1: K40 Passive Board

Tesla K40 GPU Accelerator BD-06902-001_v05 | iii

TABLE OF CONTENTS

Overview .........................................................................................................1

Key Features .................................................................................................. 2

NVIDIA GPU Boost on Tesla K40............................................................................ 3

NVIDIA GPU Boost for HPC Workloads ................................................................. 3

API for NVIDIA GPU Boost on Tesla ........................................................................ 4

Tesla K40 Block Diagram .................................................................................... 6

Environmental Conditions................................................................................... 6

Configuration.................................................................................................. 7

Mechanical Specifications ....................................................................................8

PCI Express System........................................................................................... 8

Tesla K40 Bracket ............................................................................................ 8

Power Connectors ...........................................................................................10

Power Specifications......................................................................................... 13

Support Information ......................................................................................... 15

Certificates and Agencies..................................................................................15

Agencies ...................................................................................................15

Languages.....................................................................................................16

Tesla K40 GPU Accelerator BD-06902-001_v05 | iv

LIST OF FIGURES

Figure 1. K40 Passive Board ................................................................................ 1

Figure 2. Tesla K40 Block Diagram ........................................................................ 6

Figure 3. Tesla K40 GPU Accelerator ..................................................................... 8

Figure 4. Tesla K40 Bracket ................................................................................ 9

Figure 5. 6-Pin PCI Express Power Connector ..........................................................10

Figure 6. 8-Pin PCI Express Power Connector ..........................................................11

LIST OF TABLES

Table 1. nvidia-smi Commands............................................................................ 5

Table 2. Board Environmental Conditions............................................................... 6

Table 3. Board Configuration.............................................................................. 7

Table 4. 6-Pin PCI Express Power Connector Pinout .................................................12

Table 5. 8-Pin PCI Express Power Connector Pinout .................................................12

Table 6. Auxiliary Power Connectors ...................................................................13

Table 7. Power Requirements............................................................................14

Table 8. Languages Supported ...........................................................................16

Tesla K40 GPU Accelerator BD-06902-001_v05 | 1

OVERVIEW

The NVIDIA®Tesla®K40 graphics processing unit (GPU) is a PCI Express, dual-slot

computing module in the Tesla (267 mm length) form factor comprised of a single

GK110B GPU. The Tesla K40 is designed for servers and offers a total of 12 GB of

GDDR5 on-board memory and supports PCI Express Gen3. The Tesla K40 uses a passive

heat sink for cooling.

Tesla K40 boards ship with ECC enabled by default protecting the register files, cache

and DRAM. With ECC enabled, some of the memory is used for the ECC bits, so the

user available memory is reduced by ~6.25%. On the Tesla K40 the total available

memory with ECC turned on will be ~11.25 GB.

Figure 1. K40 Passive Board

Overview

Tesla K40 GPU Accelerator BD-06902-001_v05 | 2

KEY FEATURES

GPU

Number of processor cores: 2880

Core clocks

●Base clock: 745 MHz

●Boost clocks: 810 MHz and 875 MHz

Package size: 45 mm × 45 mm 2397-pin ball grid array (S-FCBGA)



Note: All boards ship with core clock set to the base clock value. Boost clocks can

be selected using NVML or NVSMI. Refer to the NVML/NVSMI documentation for

more details.

Board

PCI Express Gen3 ×16 system interface

Physical dimensions: 111.15 mm (height) × 267 mm (length), dual-slot

Thermal Solution

Passive heat sink

Display Connectors

None

Power Connectors

One 6-pin PCI Express power connector

One 8-pin PCI Express power connector

Memory

Memory clock: 3.0 GHz

Memory bandwidth 288 GB/sec

Interface: 384-bit

●Total board memory: 12 GB

●24 pieces of 256M × 16 GDDR5, SDRAM

BIOS

2Mbit serial ROM

BAR1 size: 16 GB

Overview

Tesla K40 GPU Accelerator BD-06902-001_v05 | 3

NVIDIA GPU BOOST ON TESLA K40

NVIDIA GPU Boost™is a feature available on Tesla K40. It makes use of any power

headroom to run the core clock to a higher frequency. Application workloads that have

power headroom can run at high GPU clocks to boost application performance.



Note: The memory clock remains constant at 3 GHz. It's likely that the effective

memory bandwidth utilization will change depending on the core clock frequency.

NVIDIA GPU Boost for HPC Workloads

NVIDIA GPU Boost for Tesla K40 is optimized to deliver a robust and deterministic

boost behavior for a wide range of HPC workloads.

Tesla K40 gives full control to end-users to select the core clock frequency that fits their

workload the best. The workload may have one or more of the following characteristics.

Problem set is spread across multiple GPUs and requires periodic synchronization.

Problem set spread across multiple GPUs and runs independent of each other.

Workload has “compute spikes.” For example, some portions of the workload are

extremely compute intensive pushing the power higher and some portions are

moderate.

Workload is compute intensive through-out without any spikes.

Workload requires fixed clocks and is sensitive to clocks fluctuating during the

execution.

Workload runs in a cluster where all GPUs need to start, finish, and run at the same

clocks.

Workload or end user requires predictable performance and repeatable results.

Datacenter is used to run different types of workload at different hours in a day to

better manage the power consumption.

Some boards in a cluster have access to better cooling than others.

By default the Tesla K40 ships with the core clock set to the base clock. HPC workloads

can have one or more characteristics as described. When selecting one of the supported

boost clocks a good strategy is to characterize the workload with the available boost

clocks. For example, DGEMM/Linpack are extremely demanding on power. Therefore,

the “base clock” may be the correct choice when running Linpack. Some workloads in

life sciences, manufacturing, CFD, CAD, etc., may have power headroom and can take

advantage of one of the boost clocks.

Overview

Tesla K40 GPU Accelerator BD-06902-001_v05 | 4

API FOR NVIDIA GPU BOOST ON TESLA

Tesla K40 gives full control to end-users to select the core clock frequency via NVML or

nvidia-smi. NVML is a C-based API for monitoring and managing the various states of

Tesla products. It provides a direct access to submit queries and commands via nvidia-

smi. NVML documentation is available at https://developer.nvidia.com/nvidia-

management-library-nvml

Overview

Tesla K40 GPU Accelerator BD-06902-001_v05 | 5

Table 1 gives a summary of the nvidia-smi commands for using NVIDIA GPU Boost

on Tesla.

Table 1. nvidia-smi Commands

Usage Command

View the clocks the Tesla board supports nvidia-smi –q –d SUPPORTED_CLOCKS

Set one of the supported clocks nvidia-smi -ac <MEM clock, Graphics clock>

Make the clock settings persistent across

driver unload nvidia-smi -pm 1

Make the clock settings revert to base clocks

after driver unloads (or turn off the

persistent mode)

nvidia-smi -pm 0

To view the clock in use, use the command nvidia-smi -q –d CLOCK

To reset clocks back to the base clock (as

specified in the board specification) nvidia-smi –rac

To allow “non-root” access to change

graphics clock nvidia-smi -acp 0

When using non-default applications clocks, driver persistence mode should be enabled.

Persistence mode ensures that the driver stays loaded even when no NVIDIA®CUDA®

or X applications are running on the GPU. This maintains current state, including

requested applications clocks. If persistence mode is not enabled, and no applications

are using the GPU, the driver will unload and any current user settings will revert back

to default for the next application. To enable persistence mode run 'sudo nvidia-smi -

pm 1'.

The driver will attempt to maintain requested applications clocks whenever a CUDA

context is running on the GPU. However, if no contexts are running the GPU will revert

back to idle clocks to save power and will stay there until the next context is created.

Thus, if the GPU is not busy, you may see idle current clocks even though requested

applications clocks are much higher.



Note: By default changing the application clocks requires root access. If the user

does not have root access, the user can request his or her cluster manager to allow

non-root control over application clocks. Once changed, this setting will persist for

the life of the driver before reverting back to root-only defaults. Persistence mode

should always be enabled whenever changing application clocks, or enabling non-

root permissions to do so.

Overview

Tesla K40 GPU Accelerator BD-06902-001_v05 | 6

TESLA K40 BLOCK DIAGRAM

Figure 2 is the block diagram for the Tesla K40 GPU dual-slot computing processor

module.

Figure 2. Tesla K40 Block Diagram

ENVIRONMENTAL CONDITIONS

Table 2 lists the environmental operating and storage conditions for the Tesla K40 board.

Table 2. Board Environmental Conditions

Specifications Conditions

Operating temperature 0 °C to 45 °C

Storage temperature -40 °C to 75 °C

Operating humidity 5% to 90% RH

Storage humidity 5% to 95% RH

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