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Search Results for: gpu

GPU Acceleration Benefits for Applied CAE

Axel

“This presentation examines the HPC performance characteristics of CAE software, and the current state of GPU parallel solvers in commercial CAE that support product design in manufacturing industries. Case studies from industry will be presented that include HPC adoption of GPUs for production CAE and HPC technology and the benefits they provide. Rapid simulation from GPUs demonstrates the potential of a novel HPC technology that can transform current practices in engineering analysis and design optimization procedures.”

Monitoring and Management Interfaces for GPU Devices in a Cluster Environment

sadaf

“This presentation will provide an overview of the Nvidia Tesla Deployment Kit (TDK) from a user and a system administrator point of view. TDL contains Nvidia Management Library (NVML) and nvidia-healthmon–a tool for detecting and troubleshooting known GPU issues in a cluster environment. Usage models within a cluster environment will be presented along with a discussion on how existing resource management tools can be extended to improve allocation and accounting of GPU resources.”

Managing the GPUs of Your Cluster in a Flexible Way with rCUDA

rcuda

In this talk, we introduce the rCUDA remote GPU virtualization framework, which has been shown to be the only one that supports the most recent CUDA versions, in addition to leverage the InfiniBand interconnect for the sake of performance. Furthermore, we also present the last developments within this framework, related with the use of low-power processors, enhanced job schedulers, and virtual machine environments.”

Monitoring and Management Interfaces for GPU Devices in a Cluster Environment

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“This presentation will provide an overview of the Nvidia Tesla Deployment Kit (TDK) from a user and a system administrator point of view. TDL contains Nvidia Management Library (NVML) and nvidia-healthmon–a tool for detecting and troubleshooting known GPU issues in a cluster environment. Usage models within a cluster environment will be presented along with a discussion on how existing resource management tools can be extended to improve allocation and accounting of GPU resources.”

Managing GPUs by SLURM

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“SLURM is an open-source workload manager designed for Linux clusters of all sizes. It provides workload management on many of the most powerful computers in the world and its design is very modular with dozens of optional plugins. This talk will present an overview of SLURM and an analysis of the Consumable Resource Allocation Plugin and its utilization in connection with GPUs.”

Video: Introduction to GPUs

dimitry

“This talk will provide a general introduction to the GPU Development ecosystem by example of typical data processing tasks, compared to other solutions. It will give an overview of key architecture aspects that make amazingly high GPU performance possible.”

Video: GTC Keynote – Using GPUs at Pixar

images

Today’s GTC keynote features Pixar’s Dirk Van Gelder and Danny Nahmias. While you may not think of Pixar in terms of HPC, the company is an undisputed leader in computing graphics. In fact, the first Academy Award ever given to a computer generated movie was Pixar’s Luxo Jr. in 1986.

Nvidia Develops NVLink Interconnect for Next-Gen “Pascal” GPUs

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Today at GTC 2014, Nvidia announced new technologies that will ship with their next-generation “Pascal” GPUs. First up is a new interconnect called NVLink, a point-to-point interconnect that offers advantages over PCI-E.

Microway Rolls out Octoputer Servers with up to 8 GPUs

Octoputer

Today Microway announced a new line of servers designed for GPU and storage density. As part of the announcement, the company’s new OctoPuter GPU servers pack 34 TFLOPS of computing power when paired with up to up to eight NVIDIA Tesla K40 GPU accelerators. NVIDIA GPU accelerators offer the fastest parallel processing power available, but […]

GPU Boost for the Tesla K40

GPU Boost is a relatively simple way to increase performance by up to 17.5%.