World's Fastest GPUs

GPU Test Drive

Verify the benefits of GPU-acceleration for your workloads

GPU-Accelerated Applications Available for Testing

cuda_cube

  • AMBER versions 12, 14
  • GROMACS versions 4.6.5, 5.0.2
  • LAMMPS version 1Feb14-stable
  • MATLAB version R2014b
  • NAMD version 2.9 (with multicore, MPI and CUDA builds)
  • Quantum Espresso 5.1
  • TeraChem version 1.50K
  • VMD 1.9.2beta1
  • HOOMD-blue 1.0.1 (single and double precision)
  • PSI4 (coming soon!)

Available Libraries

  • NVIDIA CUDA versions 4.0, 5.0, 5.5, 6.0, 6.5
  • FFTW3 (single and double precision builds)
  • HDF5
  • NVBIO
  • OpenBLAS
  • OpenCV
  • Python 2.7.7 with H5py, NumPy, pandas, PyCUDA, pydot, scikit-image, scikit-learn, SciPy, SymPy and Theano
  • MATLAB toolboxes: Computer Vision System, Control System, Econometrics, Financial, Image Processing, Neural Network, Optimization, Parallel Computing Toolbox (PCT), Signal Processing, Statistics

MPI & Compiler Software

  • MVAPICH2 versions 1.9, 2.0
  • OpenMPI versions 1.7.x, 1.8.x
  • GNU GCC Compiler Collection (multiple versions, as needed)
    Provides C, C++ and Fortran compilers.
  • Intel Parallel Studio XE Cluster Edition (multiple versions, as needed)
    Provides C, C++ and Fortran Compilers; Integrated Performance Primitives (IPP), Math Kernel Library (MKL), Clik Plus, Threading Building Blocks (TBB), MPI Library, MPI Benchmarks, Trace Analyzer & Collector, VTune Amplifier XE, Inspector XE, Advisor XE
  • PGI Accelerator Fortran/C/C++ Server (multiple versions, as needed)
    Provides Portland Group C, C++ and Fortran compilers. GPU-acceleration is supported via CUDA Fortran and OpenACC.

Systems Available for Testing

Photograph of Microway HPC clusters of various sizes and configurations
Microway offers a Linux benchmark cluster for customers to test GPU-enabled applications. The cluster includes:

  • Microway NumberSmasher 1U GPU Nodes
  • Two NVIDIA Tesla K40, K20 or K10 GPUs per node
  • Two 10-core Intel Xeon E5-2600v2 series “Ivy-Bridge” CPUs in each node
  • Intel Direct I/O with PCI-E 3.0 support
  • QDR InfiniBand HCAs and switching
  • Over 8 TFLOPS Single and 2.8 TFLOPS Double Precision GPU performance per node
  • CentOS Linux
  • Pre-configured GPU-enabled software packages
  • Alternate test configurations available upon request.

whisperstation_psc_covered_angled

Microway also provides access to Windows Test Drive systems that include:

  • Dual Intel Xeon E5-2600v2 series “Ivy-Bridge” CPUs
  • Up to 128GB of 1866MHz memory
  • Enterprise-grade solid state drives
  • Tesla K40s, Tesla K20s, and Quadro K6000s
  • Windows 7 64-bit Ultimate
  • CUDA SDK, pre-configured
  • The ability for Test Drive users to install their own software

Your Information

Name (required)

Title

E-mail (required)

Organization

Industry

How Did You Hear About Us

 

Benchmark Details

Application(s)

Operating System

Timeframe for Testing

Additional Requirements/Comments


Why GPUs?

Unlike traditional CPUs, which focus on general-purpose software applications, Tesla GPUs are designed specifically to provide the highest compute performance possible. The Tesla K40 GPU is the latest and fastest accelerator. Based on the Kepler architecture, it features:

  • 12 GB of memory – enabling 2x larger data sets
  • GPU Boost – allowing power headroom to be converted into user-controlled performance boost

NVIDIA Tesla K40 Application Performance Graph for CHROMA, AMBER, QMCPACK and SPECFEM3D

Try today on advanced, fully integrated hardware

Whether you use community-built code or have in-house GPU-accelerated applications, we are offering you remote benchmarking time on our latest hardware. This includes NVIDIA Tesla K40 GPUs with over 3X the performance of previous Tesla GPUs.

See how fast your code can run

To log in and test your code, register above. After registration, you will receive an email with instructions. For any questions, please email wespeakhpc@microway.com.

Tesla GPU Accelerated Applications

NVIDIA Tesla GPU compute processors accelerate many common scientific codes – AMBER, NAMD and LAMMPS are just a few of the applications enjoying significant speed-ups. You can run your own code or one of the preloaded applications.

With Tesla M2090 GPUs, AMBER users in university departments can obtain application performance that outstrips what is even possible with extensive supercomputing access.
-Ross Walker, Assistant Research Professor at San Diego Computer Center

Comments are closed.