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Video: GPU-Accelerated Analysis of Large Biomolecular Complexes


“This presentation will highlight the use of GPU ray tracing for visualizing the process of photosynthesis, and GPU accelerated analysis of results of hybrid structure determination methods that combine data from cryo-electron microscopy and X-ray crystallography atom molecular dynamics with all- simulations.”

Converged Solutions for HPC and Big Data using Clusters and Clouds


In this video from SC14, Ian Lumb from Bright Computing presents: Converged solutions for HPC and Big Data Analytics using Clusters and Clouds.

Video: Allinea Forge Demo


In this video from SC14, Mark O’Conner from Allinea demonstrates the company’s new Forge software development suite. “A shared, intuitive user interface between the debugger and profiler with a single, shallow learning curve ensures scientific developers and HPC experts alike get the maximum value from your tools investment.”

Video: Deep Learning on GPU Clusters


“Deep neural networks have recently emerged as an important tool for difficult AI problems, and have found success in many fields ranging from computer vision to speech recognition. Training deep neural networks is computationally intensive, and so practical application of these networks requires careful attention to parallelism. GPUs have been instrumental in the success of deep neural networks, because they significantly reduce the cost of network training, which then has allowed many researchers to train better networks. In this talk, I will discuss how we were able to duplicate results from a 1000 node cluster using only 3 nodes, each with 4 GPUs.”

Video: DDN Service Strategy and Satisfaction Results


In this video from the DDN User Group at SC14, Mark Canepa presents: DDN Service Strategy and Satisfaction Results.

Video: Optimizing Lustre and GPFS Solutions with DDN


In this video from the DDN User Group at SC14, Robert Triendl presents: Optimizing Lustre and GPFS Solutions with DDN.

Video: Data Focused Reorganization GRIDScaler


In this video from the DDN User Group at SC14, Joel Zysman from Center for Computational Science at the University of Miami presents: Data Focused Reorganization GRIDScaler. “DDN’s GRIDScaler parallel file system is a leading massively scalable parallel file system and NAS solution.”

Video: Nvidia’s Path to Exascale


“The end of Dennard scaling has made all computing power limited, so that performance is determined by energy efficiency. With improvements in process technology offering little increase in efficiency innovations in architecture and circuits are required to maintain the expected performance scaling. The large scale parallelism and deep storage hierarchy of future machines poses programming challenges. Future programming systems must allow the programmer to express their code in a high-level, target-independent manner and optimize the target-dependent decisions of mapping available parallelism in time and space. This talk will discuss these challenges in more detail and introduce some of the technologies being developed to address them.”

How CoDesign Helps Shape Successful Hardware and Software Development


“In working to improve future hardware and software for its simulation requirements, Sandia National Laboratories are engaging in co-design efforts with major hardware vendors. In this talk recent improvements influenced by the collaboration with NVIDIA will be discussed. The presentation will in particular focus on newly available experimental C++11 support in CUDA and how this facilitates both more rapid porting of applications to GPUs as well as better exploitation of GPU architecture characteristics. Furthermore, initial performance studies on NVIDIA’s next generation Tesla product line will be presented as well as first impressions of an IBM POWER-8 based GPU cluster.”

Video: Scalable Informatics Steps Up IO at SC14


“By working with ThinkParQ, we have been able to leverage one of the best and highest performance storage systems for scale-out deployment,” said Dr. Joseph Landman, CEO of Scalable Informatics. “When testing a write-dominated workload using fio, IOR, and io-bm,a single rack of FastPath Unison with BeeGFS running on spinning disks sustained in excess of 40GB/s for multi-terabyte sized writes,far outside of cache. This level of performance comes from the combination of FastPath Unison hardware design, the Scalable Informatics Operating System (SIOS), and the excellent BeeGFS filesystem.”