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:
“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.”
- 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.
“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 is transforming the way clusters are managed in the modern data center.
Founded in 2009, Bright’s award winning cluster management software lets users monitor and build clusters of any size that are easy to provision,
operate, monitor, manage, and scale. Bright partners include Amazon, Cisco, Cray and Dell. Customers include Boeing, NASA, Roche,
Stanford University and the Tokyo Institute of Technology. Bright’s technology is running in over 500 data centers all over the globe.
Bright has been recognized as a Red Herring Top 100 company and a Deloitte Rising Star winner, and was named Bio-IT World’s “Best of Show.”
Pictures and screenshots of Bright Cluster Manager
For more information
Bright Computing, Inc.
Mr. Ian Lumb
2880 Zanker Road, Suite 203
San Jose, CA 95134
Tel: +1 408 520 9082
“Bright Cluster Manager provides a comprehensive solution for installation and configuration of accelerated clusters and the robust ecosystem of third-party supporting tools”
“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.”
— Duncan Poole, strategic alliances manager for Accelerated Computing at NVIDIA