- published: 09 May 2016
- views: 13603
Kristina Kapanova is a PhD student studying quantum effects on semiconductor devices. Without a supercomputer to perform calculations, she was unable to do any work. She built her own supercomputer, using off-the shelf hardware. Read the entire article: http://wp.me/pk3lN-R7l
This is a short description of a network cluster I use to OCR document images. It isn't anything fancy, but it gets the job done at a very low cost (comparably).
PelicanHPC allows you to setup a high performance cluster quickly. Here's how it's done.
Have you heard of supercomputers? They are powerful machines that tackle some of life’s greatest mysteries. Traditionally these have been used by brilliant scientists, but as high performance computing becomes more mainstream businesses are using them too. By processing tons of raw data to make predictions or create simulations, HPC takes the guesswork out of business decisions. In this video, you’ll see how companies across industries—including financial services, life sciences and energy—are using HPC and data analytics to become more efficient and quickly discover new insights that drive revenue. How does HPE fit into the conversation? Learn more at https://www.hpematter.com/ Subscribe for more videos like this: http://hpe.to/6007Beguh Visit our website: https://www.hpe.com
The hybrid HPC consists of virtual nodes and physical nodes working together to form a cluster. In this example, the head node and three compute nodes are virtual, and two laptops are configured as physical compute nodes. This cluster finished up with 6 CPUs and 22 GB of RAM.
Descrizione: ----------------- Simulazione di compilazione con sistema HPC Cluster. La macchina cluster sfrutta l'hardware dei nodi, compresa la essa. Avremmo quindi la somma delle CPU e delle RAM dei nodi. Test Macchine: --------------------- Cluster Master 1 CPU + 2 nodi con 2 CPU = 3 CPU
The Institute for Cyber-Enabled Research and the High Performance Computing Center are pleased to announce the installation of our latest computer cluster, "Intel 14." This purchase includes 220 nodes with 4400 CPU cores and between 64 GB to 256 GB of memory per node. Based on the next generation Intel Xeon Ivy Bridge E5-2670v2 processors, these new compute cores are up to 2-3 times faster than our existing system, significantly shortening time to discovery. All of the compute nodes are tied together with the latest low latency 56 Gb/s FDR Infiniband connections. In addition to the more powerful CPUs and the high speed network interface, the new system includes 80 NVIDIA K20 GPUs and 56 Xeon Phi 5110P accelerator cards. Combined, this new hardware is theoretically 10 times more powerful t...
This video is the tutorial regarding Linux Cluster Introduction based on Redhat High Availability. Linux Cluster Course will have total 17 videos and this is the first video to explain the concept and introduction of Linux Cluster. In this video you will understand the various components of Linux Cluster such as storage management, iscsi and multipath management, cluster configuration tools, CLVM and GFS2. Furthermore this video course will introduce how to use application services such as Apache, Mysql, MariaDB and Samba on cluster environment.
In this video, we’ll explain the difference between Active-Active and Active-Passive high availability (HA) clusters Relevant content: Simplifying MFT Server Clustering and High Availability Through Global Datastores http://www.jscape.com/blog/simplifying-mft-server-clustering-and-high-availability-through-global-datastores Comparing Load Balancing Algorithms http://www.jscape.com/blog/load-balancing-algorithms How to Setup High Availability File Transfer Servers http://www.jscape.com/blog/bid/86515/How-to-Setup-High-Availability-File-Transfer-Servers Setting Up a NAS Shared Storage for Your File Transfer Servers http://www.jscape.com/blog/bid/97619/Setting-Up-a-NAS-Shared-Storage-for-Your-File-Transfer-Servers JSCAPE MFT Server http://www.jscape.com/products/file-transfer-servers/js...
This video introduces Amazon EC2 and demonstrates how to create and launch high performance cluster instances. We then walk through how to build an 8-node, 64 core, ad-hoc cluster and run a molecular dynamics simulation. With Amazon Web Services, businesses and researchers can easily fulfill their high performance computational requirements with the added benefit of ad-hoc provisioning and pay-as-you-go pricing.
I describe how to build a computer cluster that can be used for running parallel computer programs using spare desktop computers and a home wireless network.
Video that explains how the High Availability product RSF-1 can be used with ZFS / OpenZFS to provide enterprise grade HA / failover storage clusters. The video starts with a basic 2-node multi-pool failover example and then expands into a distributed stretched geographic cluster topology example
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A couple of guys pice together a SUN cluster, fastforward ;)
Hopefully this video inspires people to take the guesswork and luck out of Fuse's cluster charge; it just pains me to see people pop cluster charges back to back in the same window. Try to play one step ahead of the enemy and keep a cluster charge planted and ready to go wherever you predict the enemy will be. I am constantly planting and removing charges wherever I go until I find the opportune moment to actually use it. Live Streams: https://www.twitch.tv/macie_jay
short video showing how to create a zfs cluster using the HA Plugin for NexentaStor and how to perform a failover
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If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to firstname.lastname@example.org. UChicago's Research Computing Center provides expertly managed high-end computing, storage, and visualization resources, training, and consulting to faculty and researchers across all divisions. The foundation of the new UChicago computing infrastructure is a powerful, new high performance computing cluster hosted on campus. The new cluster, Midway, and future clusters, are named after popular streets that connect us all on campus.
Many organizations struggle with concurrency: having too many users and use cases using the database at the same time. Snowflake's innovative cloud architecture provides a uniquely simple solution in the form of the Multi-Cluster Warehouse. For more details on this innovative feature of Snowflake, please check out this blog post: https://www.snowflake.net/auto-scale-snowflake-major-leap-forward-massively-concurrent-enterprise-applications/ To learn more about our ground break multi-cluster, shared data architecture you may want to check out these posts too: https://www.snowflake.net/support-multiple-workloads/ https://www.snowflake.net/elasticitycomputeandstorageseparation/