e-learning and benchmarking platform for parallel and distributed computing
Clicks: 264
ID: 137662
2014
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Popular Article
79.9
/100
263 views
213 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Emerging technologies and increased computing resources challenge the universities to establish learning environments, where the students will learn to efficiently utilize multicore or multi-chip multiprocessors. In this paper, we present a new pilot project with the following goals: (1) as an e-Learning platform for the course on Parallel and Distributed Computing, and (2) as a benchmarking plat-form to measure the algorithm performance indicators such as speed, speedup and efficiency of the parallel implementation.
| Reference Key |
gusev2014internationale-learning
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Marjan Gusev;Sasko Ristov;Goran Velkoski;Bisera Ivanovska |
| Journal | cuadernos de herpetología |
| Year | 2014 |
| DOI |
10.3991/ijet.v9i2.3215
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.