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Joel Bennett

The Julia Language - 8 views

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    Julia is a high-level, high-performance dynamic programming language for technical computing. It supports distributed parallel execution, numerical accuracy, and an extensive mathematical function library. It uses an LLVM-based JIT compiler to achieve near C performance that far outstrips Python/Matlab/R ...
Claudiu Marginean

Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase comparison :: KKovacs - 0 views

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    Places where even seconds of downtime hurt.
anonymous

CanJS - 10 views

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    CanJS is an MIT-licensed, client-side, JavaScript framework that makes building rich web applications easy.
bhawna sharma

Inline function in C++: How to use Inline function in C - 0 views

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    Learn about Inline function and how to use in C++ program. Inline function is a kind of function which help to improve execution speed of function or program.
Claudiu Marginean

Hosts Toggle Freeware download and reviews from SnapFiles - 0 views

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    Enable and Disable Windows Hosts File
Fabien Cadet

musicForProgramming(); - 10 views

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    « A series of mixes intended for listening while programming to aid concentration and increase productivity (also compatible with other activities). »
Claudiu Marginean

Using TortoiseSVN to Export Only New/Modified Files | VerySimple - 0 views

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    Using TortoiseSVN to Export Only New/Modified Files
Fabien Cadet

STXXL : Standard Template Library for Extra Large Data Sets - 4 views

  • The key features of STXXL are:
  • Transparent support of parallel disks. The library provides implementations of basic parallel disk algorithms. STXXL is the only external memory algorithm library supporting parallel disks.
  • The library is able to handle problems of very large size (tested to up to dozens of terabytes).
  • ...4 more annotations...
  • Improved utilization of computer resources. STXXL implementations of external memory algorithms and data structures benefit from overlapping of I/O and computation.
  • Small constant factors in I/O volume. A unique library feature called "pipelining" can save more than half the number of I/Os, by streaming data between algorithmic components, instead of temporarily storing them on disk. A development branch supports asynchronous execution of the algorithmic components, enabling high-level task parallelism.
  • Shorter development times due to well known STL-compatible interfaces for external memory algorithms and data structures.
  • For internal computation, parallel algorithms from the MCSTL or the libstdc++ parallel mode are optionally utilized, making the algorithms inherently benefit from multi-core parallelism.
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    « The core of STXXL is an implementation of the C++ standard template library STL for external memory (out-of-core) computations, i. e., STXXL implements containers and algorithms that can process huge volumes of data that only fit on disks. »
Stephen Paulger

Free Language Agnostic Programming Books - 0 views

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    Big list of programming books that are not specific to any programming language.
objectivist ursilly

Category:OWASP Top Ten Project - OWASP - 6 views

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    OWASP top ten web application security flaws
Arunkumar Gudelli

Arunkumar 's Blog: Simple Slide Panel Using Jquery and CSS - 0 views

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    Slide panel using Jquery and Css
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