Видеокарта PNY Tesla K40M GPU computing card 12GB PCIE (TCSK40M-PB). Инструкция на английском языке

NVIDIA  TESLA  K40 Module
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NVIDIA  TESLA  K40
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WORLD’S FASTEST ACCELERATORS
PART NUMBER:
TCSK40M-PB
TESLA K40 GPU COMPUTING ACCELERATOR
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They’re built on
the NVIDIA Kepler  compute architecture and powered by NVIDIA CUDA , the world’s most pervasive parallel computing model.
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This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications
in fields, including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and
signal processing; computational finance, computational physics; CAE and CFD; and data analytics.
Tesla K40 GPU Accelerator
Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets.
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It outperforms CPUs by up to 10x   and includes a Tesla GPUBoost  feature that enables power headroom to be converted into
usercontrolled performance boost.
The innovative design of the Kepler compute architecture includes:
>> SMX (streaming multiprocessor)
Delivers up to 3x more performance per watt than the SM in last-generation NVIDIA Fermi GPUs .
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>> Dynamic Parallelism
Enables GPU threads to automatically spawn new threads.
By adapting to the data without going back to the CPU, this greatly simplifies parallel programming.
>> Hyper-Q
Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU.
This dramatically increases GPU utilization and slashes CPU idle times.
TESLA K40 Module - PRODUCT SPECIFICATIONS
CUDA PARALLEL PROCESSING CORES                        2880
FRAME BUFFER MEMORY                                   12 GB GDDR5
PEAK DOUBLE PRECISION FLOATING POINT PERFORMANCE      1.43 Tflops
PEAK SINGLE PRECISION FLOATING POINT PERFORMANCE      4.29 Tflops
INTERFACE                                             384-bit
MEMORY BANDWIDTH                                      288 GB/s
DISPLAY CONNECTORS                                    None
MAX POWER CONSUMPTION                                 235 W
PROCESSOR CORE CLOCK                                  745 MHz
1 ? 6-pin PCI Express power connectors
POWER CONNECTORS                                      1 ? 8-pin PCI Express power connectors
GRAPHICS BUS                                          PCI Express 3.0 x16
FORM FACTOR                                           110 mm (H) ? 265 mm (L) - Dual Slot, Full-Height
THERMAL SOLUTION                                      Passive
PNY Technologies Europe
More information: www.pny.eu/tesla                                                      sales@pny.eu | T: +33 (0)5 56 13 75 75

NVIDIA  TESLA  K40 Workstation Card
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Tesla GPU Computing Accelerator Common Features
Meets a critical requirement for computing accuracy and reliability in
ECC MEMORY ERROR PROTECTION                           datacenters and supercomputing centers. Both external and internal
memories are ECC protected in Tesla K40.
Integrates the GPU subsystem with the host system’s monitoring and
management capabilities such as IPMI or OEM-proprietary tools. IT
SYSTEM MONITORING FEATURES
staff can thus manage the GPU processors in the computing system
using widely used cluster/grid management solutions.
Accelerates algorithms such as physics solvers, ray-tracing, and
L1 AND L2 CACHES                                      sparse  matrix  multiplication  where  data  addresses  are  not  known
beforehand
ASYNCHRONOUS TRANSFER WITH DUAL DMA                   Turbocharges system performance by transferring data over the PCIe
ENGINES                                               bus while the computing cores are crunching other data.
FLEXIBLE PROGRAMMING ENVIRONMENT WITH                 Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express
BROAD SUPPORT OF PROGRAMMING LANGUAGES                application parallelism and take advantage of the innovative Kepler
AND APIS                                              architecture.
End-user can convert power headroom to higher clocks and achieve
TESLA GPUBoost
even greater acceleration for various HPC workloads on Tesla K40.
Software and Drivers
Software applications page                            www.nvidia.com/teslaapps
Tesla GPU computing accelerators are supported for both Linux and Windows.
Drivers                                               www.pny.eu/drivers
Learn more about Tesla data center management tools at   www.nvidia.com/softwarefortesla
Technical Specifications
TESLA K40        TESLA K20X       TESLA K20        TESLA K10 4
Peak double-precision floating point   1.43 Tflops      1.31 Tflops      1.17 Tflops      0.19 Tflops
performance (board)
Peak single-precision floating point
performance (board)                    4.29 Tflops      3.95 Tflops      3.52 Tflops      4.58 Tflops
Number of GPUs                         1 x GK110B                   1 x GK110             2 x GK104s
Number of CUDA cores                   2880             2688             2496             2 x 1536
Memory size per board (GDDR5)          12GB             6GB              5GB              8GB
Memory bandwidth for board (ECC off) 2  288 GB/s        250 GB/s         208 GB/s         320 GB/s
Architecture features                              SMX, Dynamic Parallelism, Hyper-Q      SMX
System                                 Servers &        Servers          Servers &        Servers
workstations                      workstations
1. Based on DGEMM performance: Tesla M2090 = 410 gigaflops, Tesla K40 > 1000 gigaflops
2. Based on SPECFEM3D performance comparison between single E5-2687W @ 3.20GHz vs single Tesla K40
3. For details on GPUBoost refer to the K40 Board spec
4. Tesla K10 specifications are shown as aggregate of two GPUs.
PNY Technologies Europe
More information: www.pny.eu/tesla                                                      sales@pny.eu | T: +33 (0)5 56 13 75 75