CUDA-ready clusters enable developers to:

  1. Focus on coding, not maintaining infrastructure (drivers, configs) and toolchains (compilers, libraries)
  2. Routinely keep pace with innovation - from the latest in GPU hardware to the CUDA toolkit itself
  3. Cross-develop with confidence and ease - maintain, and shift between, highly customized CUDA development environments
  4. Exercise their preference in programming GPUs - choose CUDA or OpenCL or OpenACC and combine appropriately (with, for example, the Message Passing Interface, MPI)
  5. Exploit the convergence of HPC and Big Data Analytics - make simultaneous use HPC and Hadoop services in GPU applications  
  6. Make use of private and public clouds - create a CUDA-ready cluster in a cloud or extend an on-site CUDA infrastructure into a cloud

In this webinar, participants will learn how Bright Cluster Manager provisions, monitors and manages CUDA-ready clusters for developer advantage. Case studies will be used to illustrate all six advantages for Bright developers. Specific attention will be given to:

  • Cross-developing under CUDA 6.0 and CUDA 6.5 with Kepler-architecture GPUs (e.g., the NVIDIA Tesla K80 GPU accelerator)
  • The challenges and opportunities for making use of private (using OpenStack) and public (using Amazon Web Services) clouds in GPU applications

Register today!

Webinar Date:  January 21, 2015  9:00 am PST



   

The Top Six Advantages of CUDA-Ready Clusters


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Webinar Presenter:

Ian Lumb, Bright Evangelist, Bright Computing

Ian Lumb's involvement with HPC dates back to his days as a graduate student in the physical sciences. Since then, he's worked at the forefront of HPC, cloud computing and Big Data Analytics. Ian's role at Bright Computing is to evangelize solutions that solve our customers' problems. Because these solutions frequently involve GPUs, Ian has been 'a GTC regular' with his most-recent experience being at GTC Japan this past July.