miércoles, 22 de febrero de 2012

Semana 4

Para laboratorio encontre una noticia en donde Intel anuncia que sus procesadores Xeon E5 son parte de 10 supercomputadoras de la lista de top 500. Y revelan que son 2.1 veces mas rapidos en FLOPS brutos.

jueves, 16 de febrero de 2012

Semana 3

En esta semana, no tuve un avance grande :S ya que estuve comentando con algunos compañeros que están en el grupo de aplicaciones y pues decidimos ver varias áreas de aplicaciones en las que nos podríamos dividir, para después buscar que es lo que necesitaremos y ver cual sera la mas factible para hacer el algoritmo.

y para laboratorio encontré esta noticia que me pareció interesante la cual habla de como utilizaron una supercomputadora para simular la creación de planetas, y de como puede ayudar a mostrar como se formaron estos en los muchos cientos de años que han pasado.
Este es el link de la noticia

Espero tener un mayor aporte para la próxima semana.

jueves, 9 de febrero de 2012

Semana 2

For the second week contribution I added information about aspect to consider for parallel algorithms.

Here is the link to the wiki:

Semana 2

Supercomputer software firm to support Nvidia GPUs

Platform Computing will support graphical processing unit computing hardware from Nvidia across its major software products, the company announced on Tuesday.

Platform Computing, which makes workload management and automation software for high-performance computing and cloud hardware stacks, had previously only supported CPUs for hardware management in grids and clusters.

"We do see a trend in interest in GPU [graphical processing unit] utilisation in the HPC market," Ken Hertzler, vice president of project management at Platform Computing, told ZDNet UK on Monday. "We have added the ability to intelligently schedule HPC workload on resources that have GPU cards only. For example, if a cluster has some servers that have dedicated GPU cards installed in them and others do not have GPU cards, you want to have the ability to schedule [GPU-specific] work to just the ones with GPU cards," he said.

Support is currently limited to the Nvidia GPUs, including Tesla, because of their use of the Cuda software instruction set architecture. Platform Computing uses Nvidia's GPUs because they are Cuda-capable, and no other instruction set has the sufficient sophistication for workload deployment, Platform Computing said.

From Tuesday, GPU support will be incorporated into Platform Computing's core product lines for cluster computing — Platform HPC — and grid computing — Platform LSF — and Platform Symphony.

Support will be free for Platform HPC and Platform LSF users and will carry an additional add-on charge for Platform Symphony users, Platform Computing said on Tuesday. Exact pricing was not available at the time of writing.

Customers will be able to use Platform Computing's products to deploy specific workloads, viaCuda, a software and hardware architecture for Nvidia's graphics cards, to Tesla GPU nodes.

"What we have today is basically only CPU workload schedulers. What we're saying is we can now distribute an application to a resource that has GPU resources on it," Tripp Purvis, a vice president of business management at Platform Computing, told ZDNet UK on Monday.

GPUs can be used in sectors like financial services, said Purvis. "We see algorithms used in the financial service industry, like Monte Carlo algorithms enabled to run on a GPU core," he added.

A Monte Carlo algorithm uses a combination of random numbers and known boundaries to compute rough numerical solutions to problems which are too complex to solve normally.

Platform Computing will expand support to other GPUs when units capable of handling processes such as the Monte Carlo algorithm come to market, Hertzler said. "Whether Intel or AMD come out with something similar in the future... I think we'll have to wait for their announcements," Purvis said.

The world's fastest supercomputer — the Chinese Tianhe-1A — uses 7,168 Tesla GPUs as part of its HPC architecture. HP released a three-GPU blade server in October.

GPUs are also becoming more popular with financial companies, according to financial technology consulting company CS Technology.

"We are hearing the buzz [for GPUs] in the industry at the moment," James Dow, CS Technology's chief technology officer, told ZDNet UK on Tuesday.

Platform Computing competes in the HPC management software market with companies such asIBM and Cray. It has strategic relationships with Cray, Dell, HP, IBM, Intel, Microsoft, Red Hat and SAS.