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Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Build Securely on Azure with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Parallel pairwise correlation computation on Intel Xeon Phi clusters
The first parallel and distributed library for pairwise correlation/dependence computation on Intel Xeon Phi clusters. This library is written in C++ template classes and achieves high speed by exploring the SIMD-instruction-level and thread-level parallelism within Xeon Phis as well as accelerator-level parallelism among multiple Xeon Phis. To facilitate balanced workload distribution, we have proposed a general framework for symmetric all-pairs computation by building provable bijective...
PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components:
• a library of KNIME nodes (called PMM-Lab),
• a library of “standard” workflows
• an HSQL database.to store experimental data and microbial models.
Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM).
A java library for geometry applications. Provides a general framework for manipulating and creating geometric primitives, computing intersection points between shapes, composing them to create new shapes, and performing some measurements.
Important note: the repository has now moved to GitHub: https://github.com/dlegland/javaGeom
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approximate Bayesian computation for stochastic differential equations
A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models.
It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the...
This is my first attempt at building a reusable framework for 3D applications (not an engine!), primarily for educational purpose and also because none of the already existing tools did satisfy me. No longer maintained.
Qpnc is a high level library developed using the Qt4 framework. It provides a set of data containers and operation abstracts used to declare a set of numerical computations, witch in turn are automatically executed in a parallel fashion.
Plexus is a Java library with specifications and implementations for generic graph data structures. Like the Java Collections Framework, vertices and edges are containers for arbitrary user-defined objects.
OSlash is a c++ framework for developing decentralized cloud computing services. It includes a programming environment and virtual machine for assembling networks of processing nodes coordinate their operations through message passing.
ANNJ, Another Neural Network for Java is a neural network framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types.
Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.
Daixtrose ("Differentiable EXpression Templates - the Reusable Open Source Engine") is a C++ header library framework. With Daixtrose, building Expression Template (ET) libraries at home finally becomes easy.
Concurrent Modules for GNU Octave is a framework to help developing modular extensions to Octave. Modules run in separate threads and a timer module is provided as example. It is also the basis of Octave GUI Module that will give Octave GUI capabilities.
FLPD is an automatic learning system based on fuzzy prototypes, composed of a C++ library for machine learning and fuzzy logic and an experimentation framework.
"tdsp" is a C++ based framework for the simulation and evaluation of various signal processing aspects. It is completly written in C++ and is based on "root" framework (http://root.cern.ch). TDSP includes C++-classes which extents the root-class-f
JQuantity is a set of Java classes which enable developers to build scientific applications using quantities which are either exact or have known (bounded) errors. Quantities may include units, may be complex, non-scalar, etc. Extends java.math classes
Pari-Distributed is a mostly Erlang framework that lets you split up trivially parallelizable loops in GP across multiple nodes. Its goal is to dynamically manage a list of active nodes and split up work units fairly across remote nodes.