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Bright Cluster Manager Enhances Support for NVIDIA GPUs and CUDA 5.5

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News Release


October 7, 2013

Bright Cluster Manager Enhances Support for NVIDIA GPUs and CUDA 5.5

San Jose, California — Bright Computing, the leading, vendor-independent provider of management solutions for clusters and clouds, announced today general availability of enhanced support for NVIDIA® GPU accelerators in Bright Cluster Manager®. Enhancements include support for the NVIDIA CUDA Toolkit version 5.5, the most-recently released version of the NVIDIA CUDA parallel programming platform.

Bright Computing customers can easily provision, monitor and manage systems with NVIDIA GPU accelerators within cluster-management hierarchies. The fully integrated and comprehensive support in Bright Cluster Manager for NVIDIA GPU accelerators includes:

  • Packages for NVIDIA GPU accelerators that include: NVIDIA CUDA and graphics drivers, the NVIDIA CUDA Toolkit 5.5 (CUDA-GDB, NVIDIA Visual Profiler, math libraries, and utilities), and the Tesla Deployment Kit. NVIDIA drivers are matched by Bright to the running Linux kernel through recompilation at system boot time;
  • Metrics specific to NVIDIA GPU accelerators (fan and clock speeds, temperature, utilization, memory usage and errors, power limit, compute, operation and persistence modes) can be monitored visually and used as triggers for rule-based actions (e.g., alert a sysadmin regarding an exceeded temperature threshold) in Bright. Monitoring in the Bright solution is aligned with NVIDIA’s legacy GPUs, as well as GPU accelerators based on the current NVIDIA Kepler™ architecture;
  • Rapid-runtime as well as exhaustive and invasive health-checks based on nvidia-healthmon;
  • Configuration of GPU accelerator settings through the Bright command-line as well as graphical-user interfaces;
  • Programmability environments for applications utilizing NVIDIA CUDA, OpenCL or directives-based OpenACC. These environments include support for hybrid applications using MPI for distributed memory parallel computing on CPUs that offload certain computations to GPU accelerators;
  • Recognition of NVIDIA GPU accelerators as computational resources available through the workload management (WLM) system. Bright supports all popular open source and commercial WLMs;
  • Bright-mediated verification of the development and runtime NVIDIA CUDA and OpenCL environments based on scripts provided with the NVIDIA CUDA Toolkit;
  • Run-time access to multiple configurations for NVIDIA GPU accelerators (e.g., different versions of the CUDA Toolkit) through use of the environment modules tool in Bright;
  • Recognition of physical collections of NVIDIA GPU accelerators (e.g., multiple NVIDIA GPUs housed in a single chassis like the Dell C410x) as GPU Units. In Bright, these GPU Units are provisioned, monitored and managed as first-class, composite devices in the cluster-management hierarchy;
  • Utilization of NVIDIA GPU accelerators made available from service providers of clouds (e.g., Amazon Web Services). Using Bright, a cluster can be established in the cloud with NVIDIA GPU accelerators, or these same accelerators can be used to extend on-premise IT infrastructure into the cloud; as well as
  • Bright instructions for making exploratory use of the Multi-Process Service (MPS). New to NVIDIA CUDA 5.5, MPS allows multiple MPI processes using NVIDIA CUDA to run concurrently on a single GPU accelerator transparently to the MPI program.
“Because use of GPU accelerators for HPC continues to be an area vibrant with innovation, it is absolutely critical that Bright Cluster Manager remains current,” stated Bright Computing CTO, Martijn de Vries. “From release candidates to production releases of the CUDA Toolkit, to existing and emerging NVIDIA GPU architectures, Bright Computing makes it an ongoing practice to incorporate the latest enhancements in GPU technology into its products. Through updates to Bright Cluster Manager 6.1, customers can seamlessly receive support for CUDA 5.5.”

“Bright Cluster Manager provides a comprehensive solution for installation and configuration of accelerated clusters and the robust ecosystem of third-party supporting tools,” stated Duncan Poole, strategic alliances manager for Accelerated Computing at NVIDIA. “With support for the latest CUDA Toolkit, Bright Computing builds on its well-established track record of supporting NVIDIA’s latest GPU innovations for the HPC industry.”

Bright Cluster Manager 6.1 is available for evaluation and purchase, or upgrade for existing Bright customers. Full support for NVIDIA GPU accelerators will be demonstrated in Bright Computing (booth #1725) and partner booths at SC13 this November in Denver, Colorado.

About Bright Computing

Bright Computing specializes in management software for on-premise HPC, Hadoop, storage, database and workstation clusters, as well as the seamless extension of these clusters into the cloud. Its flagship product — Bright Cluster Manager — with its intuitive graphical user interface and powerful cluster management shell, makes clusters of any size easy to install, use and manage, including systems combining processors with accelerators (e.g., NVIDIA GPUs) or coprocessors (e.g., Intel Xeon Phi). Bright's minimal footprint enables systems to be utilized to their maximum potential, from departmental Hadoop clusters to large-scale supercomputers. Bright Computing partners include Amazon, Cisco, Cray and Dell, while Boeing, ING Bank, NASA, Roche, Saudi Aramco plus Stanford University and Tokyo Institute of Technology are examples of Bright customers. Bright Computing is a Red Herring 2013 Top 100 North America Award winner, the Deloitte Technology Fast50 “Rising Star 2013” Award winner, the Main Software 50 “Highest Growth” Award winner, and Bright Cluster Manager was a "Best of Show Award" winner at Bio-IT World 2013.

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For more information

Bright Computing, Inc.
Mr. Ian Lumb
2880 Zanker Road, Suite 203
San Jose, CA 95134
USA
Tel: +1 408 520 9082

 
 

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