Dataconomy

APRIL 18, 2023

Parallel processing can help to improve the performance of these applications by distributing tasks among multiple processors and reducing the processing time required to render graphics or process multimedia data. This can lead to poor performance and reduced efficiency, especially in large-scale systems.

Load Balancer 41

Load Balancer Applications Big Data Resources 41

Fountainhead

JUNE 2, 2009

The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips. Does it sound like Amazons recent CloudWatch, Auto-Scaling and Elastic Load Balancing announcement? Big Data. (6).

Data Center 100

Data Center Load Balancer Virtualization Analysis 100

Fountainhead

JUNE 29, 2009

However, in the software domain, each still relies on multiple individual products to accomplish tasks such as SW provisioning, HA/availability, VM management, load balancing, etc. In comparing it to the Dell, HP, and IBM systems I've managed in the past I certainly have developed a love for how logically it's laid out.

Analysis 147

Analysis HP Data Center Virtualization 147

Dataconomy

MAY 22, 2023

By dividing the workload and data across multiple nodes, distributed learning enables parallel processing, leading to faster and more efficient training of machine learning models. Distributed learning leverages the power of multiple machines or nodes connected through a network to train machine learning models in a distributed manner.

Training 93

Training Resources Data Load Balancer 93

All Things Distributed

FEBRUARY 25, 2011

There are several resources required: Elastic Load Balancers, EC2 instances, EBS volumes, SimpleDB domains and an RDS instance. Next to that they are often doing specialized development for these customers, meaning that for each production environment there may also be development and testing environments running.

Applications 121

Applications Resources Cloud Load Balancer 121

Fountainhead

JUNE 7, 2010

And I mean I/O components like NICs and HBAs, not to mention switches, load balancers and cables. Ever wonder why converged infrastructure is developing such a following? Big Data. (6). Data Center efficiency. (1). It’s because physical simplicity breeds operational efficiency. Syndications.

Virtualization 113

Virtualization Data Center Transportation Disaster Recovery 113

All Things Distributed

NOVEMBER 15, 2010

The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. The different stages were then load balanced across the available units.  The input data is often organized as a Grid. General Purpose GPU programming.

Architecture 136

Architecture Programming Web Services Applications 136