EEDSP
20.4K views | +3 today
Follow
EEDSP
Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
Curated by Shiwon Cho
Your new post is loading...
Your new post is loading...
Scooped by Shiwon Cho
Scoop.it!

Free Book: Is Parallel Programming Hard, And, If So, What Can You Do About It? - High Scalability -

Free Book: Is Parallel Programming Hard, And, If So, What Can You Do About It? - High Scalability - | EEDSP | Scoop.it

Is Parallel Programming Hard? Yes. What Can You Do About It? To answer that, Paul McKenney, Distinguished Engineer at IBM Linux Technology Center, vetran of parallel powerhouses SRI and Sequent, has written an epic 400+ page book: Is Parallel Programming Hard, And, If So, What Can You Do About It?

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Creating parallel reactive and streaming applications with the Intel® Threading Building Blocks (Intel® TBB) flow graph | Intel® Developer Zone

Creating parallel reactive and streaming applications with the Intel® Threading Building Blocks (Intel® TBB) flow graph | Intel® Developer Zone | EEDSP | Scoop.it

The flow graph feature available in Intel® Threading Building Blocks (Intel® TBB) allows users to easily create both dependence graphs and reactive, messaging passing graphs that execute on top of Intel TBB tasks. Users programmatically create nodes and edges that express the computations performed by their application and the dependencies between these computations.

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

The STE||AR Group

Systems Technologies, Emergent Parallelism, and Algorithms Research

HPX is a general purpose C++ runtime system for parallel and distributed applications of any scale.

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Case Study: Achieving High Performance on Monte Carlo European Option on Intel® Xeon Phi™ Coprocessors | Intel® Developer Zone

Case Study: Achieving High Performance on Monte Carlo European Option on Intel® Xeon Phi™ Coprocessors | Intel® Developer Zone | EEDSP | Scoop.it

Monte Carlo uses statistical computing method to solve complex scientific computing problems. It innovatively uses random numbers to simulate the uncertainty of inputs to a problem and makes use of computer to process the repeated sampling of the parameter to solve the problem that otherwise impossible to obtain a deterministic result. This method was originally pioneered by nuclear physicists involved in Manhattan projects in late 40s. It is named after the biggest casino in the principality of Monaco.

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Erlang: Concurrency | Web Builder Zone

Erlang: Concurrency | Web Builder Zone | EEDSP | Scoop.it
Erlang's concurrency model is more opinionated than what goes on in other languages, where constructs are added in newer versions and many models can coexists....
more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Using the Intel® MPI Library in a server/client setup

Using the Intel® MPI Library in a server/client setup | EEDSP | Scoop.it
A guide for using the MPI_Comm_accept and MPI_Comm_connect functions to form a server/client program suite with the Intel® MPI Library.
more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Online resources for handling big data and parallel computing in R

by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages tha...
more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Parallel Tempering in R with Rmpi - Lindons Log

Parallel Tempering in R with Rmpi - Lindons Log | EEDSP | Scoop.it
An introduction to parallel and distributed computing in R using Rmpi exemplified by parallel tempering - metropolis coupled Markov chain monte carlo mcmc.
more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

HPX V0.9.5 Released

HPX V0.9.5 Released | EEDSP | Scoop.it
The STE||AR Group is proud to announce the fifth formal release of HPX (V0.9.5). This release has been made possible by the hard, dedicated, and diligent work of everybody involved. This is the act...
more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Hama - a Bulk Synchronous Parallel computing framework on top of Hadoop

Apache Hama is a pure BSP (Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms.

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Using the Intel® MPI Library on Intel® Xeon Phi™ Coprocessor Systems | Intel® Developer Zone

Using the Intel® MPI Library on Intel® Xeon Phi™ Coprocessor Systems | Intel® Developer Zone | EEDSP | Scoop.it

This document is designed to help users get started writing code and running Message Passing Interface (MPI) applications (using the Intel® MPI library) on a development platform that includes the Intel® Xeon Phi™ Coprocessor.

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

GraphLab - Large-Scale Machine Learning on Graphs

GraphLab is an open source project to produce free implementations of scalable machine learning algorithms on multicore machine and clusters. The project was initiated in 2009 by Prof. Carlos Guestrin from Carnegie Mellon University and Prof. Joseph Hellerstein from University of California, Berkeley. GraphLab is a rapidly growing project with a large user base. As for October 2011, approximately 2000 institutions around the world installed Graphlab, including academia, research labs and industry

more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

A Java actor library for parallel execution

A Java actor library for parallel execution | EEDSP | Scoop.it
Actors aren't supported on the Java platform, but there are still plenty of ways to use them in your Java programs.
more...
No comment yet.
Scooped by Shiwon Cho
Scoop.it!

Online resources for handling big data and parallel computing in R

Online resources for handling big data and parallel computing in R | EEDSP | Scoop.it
by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages tha...
more...
No comment yet.