mcroydon + parallel   29

Features — execnet v1.0.5 documentation
"execnet provides carefully tested means to easily interact with Python interpreters across version, platform and network barriers." Data structure interop between CPython, Jython, and PyPy.
programming  python  software  development  code  library  opensource  network  distributed  framework  cluster  deployment  module  parallel  foss  pycon2010  cross  interpreter  ipc 
february 2010 by mcroydon
psvm - Project Hosting on Google Code
It would be interesting to see this ported to Hadoop, though I think there's an SVM implementation as part of Mahout.
programming  software  google  cloudcomputing  opensource  code  research  algorithms  network  statistics  learning  cluster  algorithm  ec2  machinelearning  machine-learning  c++  kernel-machines  open_source  svm  foss  classification  nlp  machine  parallel  parallel-computation 
december 2009 by mcroydon
15-499: Parallel Algorithms
An emphasis on shared-memory algorithms.
parallel  compsci  via:chl 
november 2009 by mcroydon
id Tech 5 Challenges
Operating in different environments imposes some interesting limitations on id tech 5 but they've managed to pull it off fantastically without going too deep in to any new GPU APIs such as CUDA.
programming  games  graphics  gaming  parallel  papers  id  xbox  videogames  pc  console  ps3  gpu  computation  gpgpu  idsoftware  ping.fm  siggraph 
august 2009 by mcroydon
tuulos's ringo at master — GitHub
immutable key/value store written on top of Disco, a map/reduce framework built by Nokia Research.
python  database  nokia  erlang  storage  scalability  scaling  distributed  cache  mogilefs  parallel  hash  caching  cloud  distribution  mapreduce  dbms  consistent  hashing  ringo  dht  dynamo 
december 2008 by mcroydon
Condor Project Homepage
"Condor is a specialized workload management system for compute-intensive jobs. Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor, Condor places them into a queue, chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion."
programming  linux  software  development  research  tools  network  sysadmin  work  scalability  unix  windows  architecture  cluster  computing  framework  distributed  batch  hpc  htc  clusters  cloud  parallel  concurrency  clustering  grid  performance  opensource  condor  gridcomputing 
november 2008 by mcroydon
Luke's Weblog - The small matter of errors
A parallel map with arguably better error handling.
erlang  programming  concurrent  parallel 
june 2007 by mcroydon

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