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Volume 19, Issue 3Spring 2013Scientific Computing
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
ISSN:1528-4972
EISSN:1528-4980
Published In:
xrds
Bibliometrics
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COLUMN: INIT
department
Scientific computing
COLUMN: Advice
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How to review CS papers
DEPARTMENT: Benefit
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Student contests
DEPARTMENT: Blogs
research-article
Drones and the digital panopticon

The XRDS blog highlights a range of topics from conference overviews to privacy and security, from HCI to cryptography. Selected blog posts, edited for print, will be featured in every issue. Please visit xrds.acm.org/blog to read each post in its ...

research-article
Data security in the cloud environment
SECTION: Features
research-article
Scientific computing in the age of complexity

Climate modeling has come a long way since von Neumann declared it a problem too hard for pencil and paper, but tailor-made for the new digital computers. As the models and computers both evolve toward ever-greater complexity, they are changing our ...

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Electrical modeling and simulation for stockpile stewardship

A survey of radiation modeling and circuit simulation approaches that are essential for stockpile stewardship.

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A look inside the earth: geophysical imaging of the subsurface

On the computational resources and techniques required for imaging the Earth's crust.

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Challenges and methods in large-scale computational chemistry applications

Interesting problems in computational chemistry from a computer science perspective.

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Expanders, tropical semi-rings, and nuclear norms: oh my!

Scientific computing for social and modern information networks.

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Massive streaming data analytics: a graph-based approach

Analyzing massive streaming graphs efficiently requires new algorithms, data structures, and computing platforms.

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Linguistic structure prediction with the sparseptron

Recent advances in natural language processing bring together rich representations and scalable machine learning algorithms.

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How much (execution) time and energy does my algorithm cost?

Do we need to design algorithms differently if our goal is to save energy, rather than time or space? This article presents a simple and speculative thought experiment that suggests when and why the answer could be "yes."

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High-performance computing and the cloud: a match made in heaven or hell?

Infrastructure clouds offer tremendous potential for scientific users, however, they face numerous challenges that must be addressed before they are widely adopted by scientific communities.

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Dream applications of verifiable computational results

A new system allows researchers to discover, reuse, cite, and experiment upon any computational result that is published with a Verifiable Result Identifier.

research-article
DEPARTMENT: Labz
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Keio-NUS CUTE centerSingapore
DEPARTMENT: Back
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Supercomputers

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