9007: The Top Six Advantages of CUDA-Ready Clusters and Clouds
GTC Japan 2014 2014年7月16日 Ian Lumb Evangelist Bright Computing, Inc 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 presentation, participants will learn how Bright Cluster Manager provisions, monitors and manages CUDA-ready clusters for developer advantage. Case studies will be used to briefly illustrate all six advantages for Bright developers. Specific attention will be given to: • Cross-developing under CUDA 5.5 and CUDA 6.0 with the NVIDIA Tesla K40 GPU accelerator • The challenges and opportunities for making use of private (using OpenStack) and public (using Amazon Web Services) clouds in GPU applications
GTC Japan 2014 2014年7月16日 Ian Lumb Evangelist Bright Computing, Inc 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 presentation, participants will learn how Bright Cluster Manager provisions, monitors and manages CUDA-ready clusters for developer advantage. Case studies will be used to briefly illustrate all six advantages for Bright developers. Specific attention will be given to: • Cross-developing under CUDA 5.5 and CUDA 6.0 with the NVIDIA Tesla K40 GPU accelerator • The challenges and opportunities for making use of private (using OpenStack) and public (using Amazon Web Services) clouds in GPU applications