Thursday, March 21, 2013

The Reg HPC: Nvidia, Continuum team up to sling Python at GPU coprocessors [Thu Mar 21 2013]

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Your HPC newsletter from theregister.co.uk
for the week ending 21st March 2013


*** HPC News ***

Nvidia to stack up DRAM on future 'Volta' GPUs
Over 1TB/sec of memory bandwidth can definitely play Crysis
http://www.theregister.co.uk/2013/03/19/nvidia_gpu_roadmap_computing_update/

Nvidia wants to own an ever-increasing part of the computing racket and
will be adding 3D memory stacking to its future graphics processors to
make them more power-efficient and to boost their performance.

Jen-Hsun Huang, co-founder and CEO at Nvidia, outlined the company's
plans to used stacked DRAM on future graphics chips during his opening
keynote at the GPU Technology Conference in San Jose on Tuesday. As he
sometimes does, and unexpectedly to his public relations team, Huang
whipped out a product roadmap that pushed the GPUs out one more exit on
the highway to GPU computing.

----

Nvidia stretches Tesla GPU coprocessors from HPC to big data
'Anything a CPU can do, a GPU can do better'
http://www.theregister.co.uk/2013/03/19/nvidia_gpu_coprocessor_big_data/

Graphics chip maker Nvidia has barely begun to put a dent in the
traditional high performance computing segment with its Tesla GPU
coprocessors and it is already gearing up to take on new markets. The
next target is big data, and as with parallel supercomputing, Nvidia is
hoping to get the jump on rivals Intel and AMD, which peddle their
respective x86 and GPU coprocessors.

----

Nvidia, Continuum team up to sling Python at GPU coprocessors
Teaching snakes to speak CUDA with forked tongue, but not forked code
http://www.theregister.co.uk/2013/03/18/nvidia_continuum_pyhton_on_cuda_gpu/

The Tesla GPU coprocessor and its peers inside your Nvidia graphics
cards will soon speak with a forked tongue. Continuum Analytics has
been working with the GPU-maker to create the NumbaPro Python-to-GPU
compiler.

We all call it the LAMP stack, but it should really be called LAMPPP or
LAMP3 or some such because it is Linux, Apache, MySQL, Perl, PHP, and
Python. And as such, given the popularity of Python, the ability to
offload sorting and calculation work from CPUs to GPU coprocessors is a
big deal. (If I were going to learn one programming language today, it
would be Python because of its utility as both a scripting language and
a nuts-and-bolts language for creating real applications. And when I
find more time, I will learn it.)

----

Cluster padawans vie for place in Shanghai super showdown
Spotlight on undergrads' HPC coding skills
http://www.theregister.co.uk/2013/03/13/sc13_cluster_competition_/

The 2013 Student Cluster Competition season is off to a roaring start
judging by the high level of interest in the inaugural Asia Student
Supercomputer Challenge (ASC13), which will kick off in Shanghai in
mid-April.

Right now, the judges are sorting through the 42 applications submitted
by universities from a wide swath of the world.

----


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